<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article">
 <front>
  <journal-meta>
   <journal-id journal-id-type="publisher-id">
    gep
   </journal-id>
   <journal-title-group>
    <journal-title>
     Journal of Geoscience and Environment Protection
    </journal-title>
   </journal-title-group>
   <issn pub-type="epub">
    2327-4336
   </issn>
   <issn publication-format="print">
    2327-4344
   </issn>
   <publisher>
    <publisher-name>
     Scientific Research Publishing
    </publisher-name>
   </publisher>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="doi">
    10.4236/gep.2025.1311013
   </article-id>
   <article-id pub-id-type="publisher-id">
    gep-147445
   </article-id>
   <article-categories>
    <subj-group subj-group-type="heading">
     <subject>
      Articles
     </subject>
    </subj-group>
    <subj-group subj-group-type="Discipline-v2">
     <subject>
      Earth 
     </subject>
     <subject>
       Environmental Sciences
     </subject>
    </subj-group>
   </article-categories>
   <title-group>
    Antimicrobial Pollution in Tanzanian Surface Waters: Sources, Environmental Risks, and Public Health Implications
   </title-group>
   <contrib-group>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Asha
      </surname>
      <given-names>
       Ripanda
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Miraji
      </surname>
      <given-names>
       Hossein
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Alfred
      </surname>
      <given-names>
       Said
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff2"> 
      <sup>2</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Elias Charles
      </surname>
      <given-names>
       Nyanza
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff3"> 
      <sup>3</sup>
     </xref>
    </contrib>
   </contrib-group> 
   <aff id="aff1">
    <addr-line>
     aDepartment of Chemistry, College of Natural and Mathematical Sciences, University of Dodoma, Dodoma, Tanzania
    </addr-line> 
   </aff> 
   <aff id="aff2">
    <addr-line>
     aDepartment of Environmental Engineering and Management, College of Earth Sciences and Engineering, The University of Dodoma, Dodoma, Tanzania
    </addr-line> 
   </aff> 
   <aff id="aff3">
    <addr-line>
     aDepartment of Environmental and Occupational Health, School of Public Health, Catholic University of Health, and Allied Sciences (CUHAS), Mwanza, Tanzania
    </addr-line> 
   </aff> 
   <pub-date pub-type="epub">
    <day>
     30
    </day> 
    <month>
     10
    </month>
    <year>
     2025
    </year>
   </pub-date> 
   <volume>
    13
   </volume> 
   <issue>
    11
   </issue>
   <fpage>
    229
   </fpage>
   <lpage>
    262
   </lpage>
   <history>
    <date date-type="received">
     <day>
      16,
     </day>
     <month>
      October
     </month>
     <year>
      2025
     </year>
    </date>
    <date date-type="published">
     <day>
      21,
     </day>
     <month>
      October
     </month>
     <year>
      2025
     </year> 
    </date> 
    <date date-type="accepted">
     <day>
      21,
     </day>
     <month>
      November
     </month>
     <year>
      2025
     </year> 
    </date>
   </history>
   <permissions>
    <copyright-statement>
     © Copyright 2014 by authors and Scientific Research Publishing Inc. 
    </copyright-statement>
    <copyright-year>
     2014
    </copyright-year>
    <license>
     <license-p>
      This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/
     </license-p>
    </license>
   </permissions>
   <abstract>
    Antimicrobial pollution in surface waters has become an urgent environmental issue globally, yet few studies have specifically focused on the prevalence and impacts of antimicrobial contaminants in Tanzanian surface waters. This review article presents a comprehensive assessment of antimicrobial pollutants in Tanzania’s aquatic ecosystems, filling a critical gap in the current literature. The findings reveal widespread contamination of surface waters, primarily with antibiotics, from diverse sources, including domestic sewage, agricultural runoff, industrial effluents, and healthcare facilities. This work integrates findings from a range of disciplines, including environmental monitoring, public health, and agricultural practices, to provide a holistic understanding in the Tanzanian context. The presence of antimicrobial pollutants may lead to the promotion of antimicrobial resistance, disruption of microbial communities, and risks to human health through food chain. Therefore, there is a call for further studies to assess the extent of antimicrobial pollution in Tanzania and its broader implications for both environmental and public health.
   </abstract>
   <kwd-group> 
    <kwd>
     Antimicrobial Pollution
    </kwd> 
    <kwd>
      Antibiotics
    </kwd> 
    <kwd>
      Environmental Implications
    </kwd> 
    <kwd>
      Tanzania
    </kwd> 
    <kwd>
      Waters
    </kwd>
   </kwd-group>
  </article-meta>
 </front>
 <body>
  <sec id="s1">
   <title>1. Introduction</title>
   <p>In recent decades, the pervasive presence of antimicrobial pollutants in aquatic environments has emerged as a pressing global concern, with profound implications for environmental sustainability and public health (<xref ref-type="bibr" rid="scirp.147445-47">
     Hossein &amp; Ripanda, 2025
    </xref>). Antimicrobial pollution, refers to the environmental contamination resulting from the release of ntimicrobial agents such as antibiotics, antiviral, or antifungal in active form, their metabolites or transformational products into natural ecosystems as a result of anthropogenic activities including pharmaceutical industry, agriculture, aquaculture, healthcare systems, households and release of produced effluents (<xref ref-type="bibr" rid="scirp.147445-47">
     Hossein et al., 2025
    </xref>; <xref ref-type="bibr" rid="scirp.147445-107">
     Ripanda, 2024
    </xref>). A recent study from East Africa indicated that Inadequate policy enforcement has been reported to result into improper disposal of pharmaceuticals, their metabolites and transformational products leading to, antibiotic resistance risks to human, other animal, and entire ecology (<xref ref-type="bibr" rid="scirp.147445-56">
     Karungamye
    </xref><xref ref-type="bibr" rid="scirp.147445-56">
     et al., 2022
    </xref>). Previous research examining trends in emerging pollution in Tanzania, noted preliminary studies on pharmaceuticals, endocrine-disrupting hormones, and disinfection by-products (<xref ref-type="bibr" rid="scirp.147445-87">
     Miraji
    </xref><xref ref-type="bibr" rid="scirp.147445-87">
     et al., 2016
    </xref>). These studies underscored the urgent need to expand monitoring efforts, enhance analytical infrastructure, and establish clear policies for managing emerging contaminants.</p>
   <p>In Tanzania, a country with abundant freshwater resources critical for livelihoods, agriculture, and biodiversity conservation, the issue of antimicrobial contamination in surface waters (<xref ref-type="bibr" rid="scirp.147445-76">
     Marijani, 2022
    </xref>; <xref ref-type="bibr" rid="scirp.147445-113">
     Ripanda et al., 2023c
    </xref>), demands immediate attention. This work delves into the burgeoning problem of antimicrobial pollutants in Tanzania’s surface waters, shedding light on their occurrence, sources, and far-reaching environmental implications. Tanzania, like many developing countries, grapples with a myriad of challenges (<xref ref-type="bibr" rid="scirp.147445-2">
     Achankeng
    </xref><xref ref-type="bibr" rid="scirp.147445-2">
     , 2003
    </xref>; <xref ref-type="bibr" rid="scirp.147445-133">
     Zohoori &amp; Ghani, 2017
    </xref>), ranging from rapid urbanization to inadequate waste management infrastructure. These challenges exacerbate the release of antimicrobial pollutants into surface waters through various pathways, including domestic, agricultural, industrial, and healthcare-related sources. A recent study by <xref ref-type="bibr" rid="scirp.147445-69">
     Kundu et al. (2024)
    </xref>, reported occurences of high levels of pharmaceuticals in the station downwards of a wastewater stabilization pond, discharging its partially treated effluent into the river, followed by stations whose rivers flowed through informal areas. Further sampled points’ located near the river’s water sources had fewer compounds with values below the detection limits, including amoxicillin, doxycycline, and sulfamethoxazole (94 ng/L) in the borehole, most of the concentrations detected in rivers were ten times higher than in boreholes (<xref ref-type="bibr" rid="scirp.147445-69">
     Kundu et al., 2024
    </xref>). Even trace levels of antimicrobial pollutants pose public health risks by creating selective pressure that fosters the emergence and spread of antimicrobial-resistant pathogens through the food chain and clinical settings, impairing ecological health.</p>
   <p>A study by <xref ref-type="bibr" rid="scirp.147445-113">
     Ripanda et al. (2023c)
    </xref>, revealed a significant role of urban wastewater as a reservoir of resistant bacteria and genes, particularly in resource limited settings including Tanzania. The prevalence of multidrug resistance (MDR) bacteria, especially E. coli, and the presence of resistance genes such as Sul and Tet families highlight a growing threat of resistant infections (<xref ref-type="bibr" rid="scirp.147445-113">
     Ripanda
    </xref><xref ref-type="bibr" rid="scirp.147445-113">
     et al., 2023c
    </xref>). The detection of β-lactamase-producing isolates further complicates treatment options, given their ability to deactivate critical antibiotic classes.</p>
   <p>Antimicrobial pollutants such as antibiotics from human and veterinary use, and agricultural runoff from livestock farming and crop cultivation practices introduces pollutants into rivers and lakes (<xref ref-type="bibr" rid="scirp.147445-81">
     Mdegela
    </xref><xref ref-type="bibr" rid="scirp.147445-81">
     et al., 2021
    </xref>; <xref ref-type="bibr" rid="scirp.147445-99">
     Mwega et al., 2020
    </xref>). Similarly, industrial effluents from pharmaceutical manufacturing and healthcare facilities discharge potent antimicrobial compounds into water bodies (<xref ref-type="bibr" rid="scirp.147445-3">
     Adeola &amp; Forbes, 2022
    </xref>; <xref ref-type="bibr" rid="scirp.147445-115">
     Ripanda et al., 2025
    </xref>), compounding the contamination burden. The impacts of antimicrobial pollution in Tanzanian surface waters are far-reaching, extending beyond ecological harm to include significant public health and economic consequences. A particularly concerning outcome is the intensification of antimicrobial resistance (AMR), a global health threat undermining the effectiveness of life-saving antibiotics. The continuous exposure of aquatic microorganisms to sub-lethal concentrations of antimicrobial agents fosters the selection of resistant strains, potentially compromising the effectiveness of medical treatments and increasing healthcare costs. A study by <xref ref-type="bibr" rid="scirp.147445-51">
     Hounmanou et al. (2019)
    </xref>, revealed the presence of toxigenic Vibrio cholerae O1 strains in Lake Victoria during a non-outbreak period, demonstrating their environmental persistence and pathogenic potential. Identified strains harbored major virulence genes (like ctxA, ctxB, zot, tcpA) and pathogenicity islands (like VPI-1, VPI-2, VSP-1, VSP-2) (<xref ref-type="bibr" rid="scirp.147445-51">
     Hounmanou
    </xref><xref ref-type="bibr" rid="scirp.147445-51">
     et al., 2019
    </xref>), which are critical for disease causation. The identified strains possessed genes for biofilm formation, stress response, and quorum sensing, enhancing survival in aquatic environments. The genes carried the SXT integrative conjugative element, conferring MDR to aminoglycosides, sulfamethoxazole, trimethoprim, phenicol, and quinolones (<xref ref-type="bibr" rid="scirp.147445-51">
     Hounmanou
    </xref><xref ref-type="bibr" rid="scirp.147445-51">
     et al., 2019
    </xref>). This indicates dual threats of cholera outbreaks and AMR posed by these persistent environmental strains, requiring intervention.</p>
   <p>
    <xref ref-type="fig" rid="fig1">
     Figure 1
    </xref> presents structures of selected antimicrobial pollutants and other reported pharmaceutical contaminants. A study by <xref ref-type="bibr" rid="scirp.147445-62">
     Kimera et al. (2021)
    </xref>, revealed that among recovered isolates, 45.5% were Klebsiella pneumoniae and 29.6% were Escherichia coli. Resistance patterns varied across different environments. For instance, K. pneumoniae showed higher resistance in effluent (27.9%) compared to E. coli (26.6%), while E. coli exhibited greater resistance in river water, sediment, and crop soil (35% vs. 25%) (<xref ref-type="bibr" rid="scirp.147445-62">
     Kimera et al., 2021
    </xref>). Notably, K. pneumoniae showed high resistance to nalidixic acid (54.6%) and ciprofloxacin (33.3%), whereas E. coli displayed significant resistance to ciprofloxacin (39.7%) and trimethoprim/sulfamethoxazole (38%) (<xref ref-type="bibr" rid="scirp.147445-62">
     Kimera et al., 2021
    </xref>). Resistance levels increased downstream, from 28.3% in Kisarawe to 66.7% in Upanga West. About 53.2% isolates possessed MDR genes, especially extended-spectrum beta-lactamase (ESBL), quinolone-resistant, and carbapenem-resistant strains (<xref ref-type="bibr" rid="scirp.147445-62">
     Kimera et al., 2021
    </xref>).</p>
   <p>A study by <xref ref-type="bibr" rid="scirp.147445-76">
     Marijani (2022)
    </xref> highlighted a significant bacterial contamination in fish from botopen-air markets and supermarkets, with E. coli being the most prevalent species (40% in open-air markets, 37% in supermarkets), followed by</p>
   <fig id="fig1" position="float">
    <label>Figure 1</label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.147445-"></xref>Figure 1. The structures of selected antimicrobials (Source: Prepared using ChemDraw).</title>
    </caption>
    <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2173559-rId16.jpeg?20251124021758" />
   </fig>
   <p>Klebsiella spp., Salmonella spp., and other pathogens like Shigella spp., Citrobacter spp., and Pseudomonas spp. While 58.7% of the samples met the International Commission on Microbiological Specifications for Foods criteria as “good,” 41.3% were only marginally acceptable (<xref ref-type="bibr" rid="scirp.147445-76">
     Marijani, 2022
    </xref>). Particularly, isolates of E. coli and Salmonella spp. exhibited resistance to multiple antibiotics (<xref ref-type="bibr" rid="scirp.147445-76">
     Marijani, 2022
    </xref>), including penicillin, erythromycin, gentamicin, and tetracycline, threatening public health. A study by <xref ref-type="bibr" rid="scirp.147445-93">
     Moremi et al. (2016b)
    </xref> revealed the presence of multiple antibiotic resistance genes such as sulfonamides (sul1/sul2), tetracyclines (tet(A)/tet(B)), fluoroquinolones (aac(6′)-Ib-cr, qnrS1), aminoglycosides (aac(3)-lld, strA, strB), and trimethoprim (dfrA14) in bacterial isolates from the environment and fish. Notably, E. coli sequence types ST-38 and ST-5173 were detected in isolates from the environment and fish, suggesting a potential link between environmental and food-chain contamination, threatening public health. The identification of IncY plasmids carrying key resistance genes (blaCTX-M-15, qnrS1, strA, strB) in environmental isolates and fish (<xref ref-type="bibr" rid="scirp.147445-93">
     Moremi et al., 2016b
    </xref>), highlighting the role of plasmid-mediated dissemination in spreading resistance as reported by <xref ref-type="bibr" rid="scirp.147445-115">
     Hossein and Ripanda (2025)
    </xref>. This suggests that resistant E. coli from Mwanza city’s sewage system may be entering Lake Victoria, highlighting the close link between human activities, environmental contamination, and the food chain.</p>
   <p>The continued presence of bla&lt;sub&gt;CTX-M-15&lt;/sub&gt; in this ecosystem is driven by both the clonal spread of resistant strains and horizontal gene transfer via IncY plasmids, underscoring the urgent need for integrated strategies to combat antibiotic resistance, Further studies indicated growing trends of bacterial infections in fish farms and will continue to be an issue of concern into the future (<xref ref-type="bibr" rid="scirp.147445-76">
     Marijani, 2022
    </xref>; <xref ref-type="bibr" rid="scirp.147445-81">
     Mdegela et al., 2021
    </xref>; <xref ref-type="bibr" rid="scirp.147445-100">
     Mzula et al., 2019, 2021
    </xref>), which may increase the use of antimicrobial agents requiring intervention. These findings pose a public health risk, particularly to immunocompromised individuals, emphasizing the need for improved food safety measures, regular AMR monitoring, and consumer education on safe handling practices to mitigate health hazards.</p>
   <p>In Tanzania AMR pollution is a significant issue, driven by widespread use of antibiotics in healthcare, agriculture, and community settings. Recent data indicates that in 2019, Tanzania reported approximately 12,500 deaths attributable to AMR and 54,000 deaths associated with drug-resistant infections (<xref ref-type="bibr" rid="scirp.147445-35">
     Evaluation, 2023
    </xref>). The primary pathogens contributing to these outcomes include Klebsiella pneumoniae, Staphylococcus aureus, Streptococcus pneumoniae, Escherichia coli, and Salmonella Typhi, which are linked to respiratory, bloodstream, and intra-abdominal infections (<xref ref-type="bibr" rid="scirp.147445-21">
     Camara et al., 2023
    </xref>; <xref ref-type="bibr" rid="scirp.147445-35">
     Evaluation, 2023
    </xref>; <xref ref-type="bibr" rid="scirp.147445-80">
     Mbwasi et al., 2020
    </xref>; <xref ref-type="bibr" rid="scirp.147445-81">
     Mdegela et al., 2021
    </xref>). Tanzania ranks 30th globally for AMR-related age-standardized mortality rates, highlighting its substantial burden compared to other regions (<xref ref-type="bibr" rid="scirp.147445-35">
     Evaluation, 2023
    </xref>). Efforts are underway to address the issue through national AMR action plans, though challenges remain in data collection, surveillance, and resource allocation. Moreover, the presence of antimicrobial pollutants can disrupt aquatic ecosystems, leading to biodiversity loss, altered nutrient cycling (<xref ref-type="bibr" rid="scirp.147445-16">
     Bashir et al., 2020
    </xref>; <xref ref-type="bibr" rid="scirp.147445-130">
     Wang et al., 2023
    </xref>), and the proliferation of harmful algal blooms. These ecological disruptions cascade through food webs, affecting fisheries, agriculture, and tourism-dependent livelihoods, thus underscoring the interconnectedness of environmental health and socio-economic well-being (<xref ref-type="bibr" rid="scirp.147445-2">
     Achankeng
    </xref><xref ref-type="bibr" rid="scirp.147445-2">
     , 2003
    </xref>; <xref ref-type="bibr" rid="scirp.147445-16">
     Bashir et al., 2020
    </xref>; <xref ref-type="bibr" rid="scirp.147445-130">
     Wang et al., 2023
    </xref>).</p>
   <p>
    <xref ref-type="bibr" rid="scirp.147445-"></xref>Additionally, the contamination of surface waters poses direct risks to human health, as communities reliant on these water sources for drinking, cooking, and irrigation may be exposed to antimicrobial residues and resistant bacteria, leading to waterborne diseases and treatment challenges. Addressing the complex challenge of antimicrobial pollution in Tanzanian surface waters necessitates a multi-faceted approach encompassing scientific research, policy interventions, community engagement, and capacity-building initiatives. Robust monitoring programs are essential to assess the extent of contamination, identify hotspots, and track temporal trends, enabling evidence-based decision-making and targeted mitigation efforts. The findings emphasize the urgent need for improved wastewater management, monitoring of AMR genes in environmental reservoirs, strengthened antibiotic stewardship and surveillance programs to curb AMR transmission to humans and other animals. Appendix <xref ref-type="table" rid="tableA1">
     Table A1
    </xref> presents selected employed antimicrobial agents during this period in Tanzania, category, structure, reported environmental effects and its implications, in some cases combinations of these agents are employed (<xref ref-type="bibr" rid="scirp.147445-118">
     Sangeda
    </xref><xref ref-type="bibr" rid="scirp.147445-118">
     et al., 2021
    </xref>). Together, sulphonamides and trimethoprim are often used in combination (e.g., co-trimoxazole) because they act synergistically to inhibit folic acid synthesis at two different points in the pathway, making the treatment more effective and reducing the likelihood of resistance development.</p>
   <p>
    <xref ref-type="bibr" rid="scirp.147445-"></xref>Origin of antimicrobial pollution</p>
   <p>The release of effluents containing antimicrobial agents such as such as penicillin and erythromycin for bacterial infections (<xref ref-type="bibr" rid="scirp.147445-106">
     Pérez-Legaspi &amp; Rico-Martínez, 2023
    </xref>; <xref ref-type="bibr" rid="scirp.147445-116">
     Rugumisa et al., 2016
    </xref>), antivirals such as lamivudine and oseltamivir for viral infections (<xref ref-type="bibr" rid="scirp.147445-52">
     Huang et al., 2021
    </xref>), antifungals such as fluconazole for fungal infections (<xref ref-type="bibr" rid="scirp.147445-72">
     Lu et al., 2021
    </xref>), and antiparasitic drugs such as chloroquine for malaria (<xref ref-type="bibr" rid="scirp.147445-82">
     Meo et al., 2020
    </xref>) is of public health concern, referred to antimicrobial pollution. These drugs are crucial in the treatment and prevention of various infectious diseases (<xref ref-type="bibr" rid="scirp.147445-106">
     Pérez-Legaspi &amp; Rico-Martínez, 2023
    </xref>; <xref ref-type="bibr" rid="scirp.147445-116">
     Rugumisa et al., 2016
    </xref>). Report indicate an increase in global antibiotic consumption rate by 46% in 2018 compared to that of 2000 (<xref ref-type="bibr" rid="scirp.147445-20">
     Browne et al., 2021
    </xref>). Studies indicate that 30 to 90% of consumed drug is excreted through urine or faeces (<xref ref-type="bibr" rid="scirp.147445-12">
     Bamfo et al., 2021
    </xref>; <xref ref-type="bibr" rid="scirp.147445-27">
     Daghrir &amp; Drogui, 2013
    </xref>; <xref ref-type="bibr" rid="scirp.147445-34">
     Egan et al., 2000
    </xref>), indicating that approximately more than 90 thousand tons may end up in the environment especially aquatics. Further, between 2010 and 2017, Tanzania utilized a cumulative total of 13390.32 tonnes of antibiotics (<xref ref-type="bibr" rid="scirp.147445-45">
     Hamim et al., 2021
    </xref>), equivalent to about 1675 tonnes per year. This indicates introduction of more than 500 tonnes of antibiotics per year in the environment especially water bodies, which may impact ecological health. <xref ref-type="table" rid="tableA2">
     Table A2
    </xref> showcases comprehensive data on AMR pollution in various environmental compartments in Tanzania. This includes the concentrations of antimicrobials where available, the presence of antimicrobial-resistant microbes, and the detection of resistance genes. The table highlights findings from wastewater, surface waters, urban receiving waters, effluents, and the food chain. This data is crucial for understanding the extent of antimicrobial contamination and the spread of resistance. The table underlines the pervasive nature of antimicrobial pollution and its potential public health impacts. The presence of resistant microbes and genes in these environments indicates the ongoing risk of AMR spreading through environmental and food pathways. This information is vital for developing strategies to mitigate AMR and safeguard environmental and human health.</p>
   <p>Similarly, over the course of eight years (2010 to 2017), there was a significant level of systemic antivirals usage, reaching 367.1 and antifungals 10.8 defined daily doses (DDD), per 1000 inhabitants per day (<xref ref-type="bibr" rid="scirp.147445-45">
     Hamim et al., 2021
    </xref>). This indicates introduction of more than 110 defined daily doses of antiviral and 3 defined daily doses of antifungal per 1000 inhabitants per day into the environment. A similar study reported average daily defined dose (DDD) per 1,000 inhabitants for all antimicrobials was 80.8 ± 39.35. The DDD per 1,000 inhabitants per day (DDD/1000/D) decreased significantly from 136.41 in 2017 to 54.98 in 2018 and further to 51.02 in 2019 (<xref ref-type="bibr" rid="scirp.147445-80">
     Mbwas
    </xref><xref ref-type="bibr" rid="scirp.147445-80">
     i et al., 2020
    </xref>). Doxycycline, amoxicillin, and trimethoprim-sulfamethoxazole were the most used antibiotics during this period, with DDD/1,000/D values of 20.01, 16.75, and 12.42, respectively (<xref ref-type="bibr" rid="scirp.147445-80">
     Mbwas
    </xref><xref ref-type="bibr" rid="scirp.147445-80">
     i et al., 2020
    </xref>).</p>
   <p>Most recommendations of antimicrobial agents use in Tanzania is done by the private medical sector, this is evidenced by an annual increase in its share from 2017 to 2019 (<xref ref-type="bibr" rid="scirp.147445-80">
     Mbwa
    </xref><xref ref-type="bibr" rid="scirp.147445-80">
     si et al., 2020
    </xref>). Over 90% of the antimicrobials consumed were classified as access class medications, while class medications made up less than 10% and 1% of reserve class medications. The private sector use of antimicrobials is rising significantly and needs to be closely monitored in line with national policies to ensure ecological safety and sustainability. Report indicates lack of information on antimicrobial consumption patterns in sub-Saharan Africa, this requires intervention. On the other hand, guidelines for disposal of expired or unused medication are only available for public premises and hospitals dis regarding households, leading to pollution as people discards together with domestic wastes or pit latrines (<xref ref-type="bibr" rid="scirp.147445-56">
     Karungamye
    </xref><xref ref-type="bibr" rid="scirp.147445-56">
     et al., 2022
    </xref>; <xref ref-type="bibr" rid="scirp.147445-13">
     Banaga, 2020
    </xref>). AMR pollution not only poses a direct threat to ecosystems and human health but also exacerbates the problem of AMR in clinical settings.</p>
  </sec><sec id="s2">
   <title>2. Methodology</title>
   <p>This narrative literature review examines antimicrobial pollution in Tanzanian surface waters, focusing on regions with available data on the prevalence of resistance and associated genes in various environmental matrices, including surface water, groundwater, wastewater effluents, sediments, soils, and the food chain, as detailed in <xref ref-type="table" rid="tableA2">
     Table A2
    </xref>. The review draws on journal articles sourced from multiple databases, including Web of Science, Scopus, Google Scholar, Wiley Online Library, ScienceDirect, Taylor &amp; Francis Online, Sage Publishing, and PubMed. By compiling and analyzing data from studies across Tanzania, this review provides insights into the antimicrobial pollution in Tanzanian surface waters focusing on the sources, environmental risks, and public health implications, an area that remains underexplored in existing literature.</p>
  </sec><sec id="s3">
   <title>
    <xref ref-type="bibr" rid="scirp.147445-"></xref>3. Environmental Occurrences of Antimicrobial Pollutants</title>
   <p>The global nature of AMR pollution means that resistant microorganisms, along with resistance genes, can traverse borders, posing a transboundary threat to public health. The interconnectedness of ecosystems and the movement of people and goods make this issue difficult to contain within national boundaries. The prevalence of AMR in the environment ultimately affects clinical care, as infections caused by resistant pathogens become harder to treat. There is limited data highlighting the status of AMR pollution on Tanzania aquatic environments (<xref ref-type="bibr" rid="scirp.147445-54">
     Joachim et al., 2023
    </xref>; <xref ref-type="bibr" rid="scirp.147445-62">
     Kimera et al., 2021
    </xref>; <xref ref-type="bibr" rid="scirp.147445-129">
     Subbiah et al., 2020
    </xref>), but AMR pollution is transboundary and there are reports of diseases as a result of resistant strains of microbs. A study by Kimera and Coallegues reported that among the recovered isolates, 45.5% were Klebsiella pneumoniae and 29.6% were Escherichia coli. K. pneumoniae showed greater resistance in effluent (27.9%) compared to E. coli (26.6%) (<xref ref-type="bibr" rid="scirp.147445-62">
     Kimera et al., 2021
    </xref>). However, E. coli exhibited higher resistance in river water, sediment, and crop soil compared to K. pneumoniae (35% vs. 25%, respectively) (<xref ref-type="bibr" rid="scirp.147445-62">
     Kimera et al., 2021
    </xref>). K. pneumoniae had the highest resistance to nalidixic acid (54.6%) and ciprofloxacin (33.3%), while E. coli was most resistant to ciprofloxacin (39.7%) and trimethoprim/sulfamethoxazole (38%) (<xref ref-type="bibr" rid="scirp.147445-62">
     Kimera et al., 2021
    </xref>). Resistance increased from 28.3% in Kisarawe, where the river originates, to 59.9% in Jangwani (middle section) and 66.7% in Upanga West, where the river enters the Indian Ocean (<xref ref-type="bibr" rid="scirp.147445-62">
     Kimera et al., 2021
    </xref>). Further, of the E. coli and K. pneumoniae isolates, 53.2% were resistant to more than three classes of antibiotics, with higher occurrence among ESBL producers, quinolone-resistant, and carbapenem-resistant strains.</p>
   <p>A study by Silago and Colleagues investigated multidrug-resistant uropathogens causing community acquired urinary tract infections among patients attending health facilities in Mwanza and Dar es Salaam, and reported that Staphylococcus aureus and Staphylococcus haemolyticus were the predominant (<xref ref-type="bibr" rid="scirp.147445-124">
     Silago et al., 2022
    </xref>). Escherichia coli exhibited resistance ranging from 0.7% (meropenem) to 86.0% (ampicillin), while other Enterobacterales showed resistance from 0.0% (meropenem) to 75.6% (ampicillin). Multidrug resistance was observed in 45.4% of Enterobacterales and 22.4% of Gram-positive bacteria p-value = 0.008 (<xref ref-type="bibr" rid="scirp.147445-124">
     Silago et al., 2022
    </xref>). Overall, sulfamethoxazole emerged as the most frequently identified compound in surface water across Africa, ranging from 0.00027 to 39 μg/L (<xref ref-type="bibr" rid="scirp.147445-36">
     Faleye
    </xref><xref ref-type="bibr" rid="scirp.147445-36">
     et al., 2018
    </xref>), in recent study sulfamethoxazole (94 ng/L) was identified in the borehole, with most detected pollutants in rivers being ten times higher than in boreholes (<xref ref-type="bibr" rid="scirp.147445-69">
     Kundu et al., 2024
    </xref>), including report of resistance to sulfamethoxazole (<xref ref-type="bibr" rid="scirp.147445-14">
     Baniga
    </xref><xref ref-type="bibr" rid="scirp.147445-14">
     et al., 2020
    </xref>; <xref ref-type="bibr" rid="scirp.147445-107">
     Ripanda, 2024
    </xref>; <xref ref-type="bibr" rid="scirp.147445-113">
     Ripanda et al., 2023c
    </xref>). Further, Efavirenz and nevirapine exhibit notable persistence in effluents and are prevalent in surface water based on environmental concentrations. Elevated levels of resistance to penicillin G, chloramphenicol, streptomycin, and oxytetracycline have been documented, among pathogenic microbial communities in dairy cattle suffering from mastitis (<xref ref-type="bibr" rid="scirp.147445-81">
     Mdegela
    </xref><xref ref-type="bibr" rid="scirp.147445-81">
     et al., 2021
    </xref>). Similar patterns are observed in poultry, where both eggs and meat are contaminated with Escherichia coli strains resistant to amoxicillin + clavulanate, sulphamethoxazole, and neomycin (<xref ref-type="bibr" rid="scirp.147445-81">
     Mdegela
    </xref><xref ref-type="bibr" rid="scirp.147445-81">
     et al., 2021
    </xref>). Furthermore, a growing trend of emerging multidrug-resistant E. coli, and Klebsiella pneumoniae, has been observed in food animals. Reports also indicate an uptick in methicillin-resistant Staphylococcus aureus (MRSA) and extended-spectrum beta-lactamase (ESBL) in the livestock sector in Tanzania (<xref ref-type="bibr" rid="scirp.147445-81">
     Mdegela
    </xref><xref ref-type="bibr" rid="scirp.147445-81">
     et al., 2021
    </xref>).</p>
  </sec><sec id="s4">
   <title>
    <xref ref-type="bibr" rid="scirp.147445-"></xref>4. Antimicrobial Pollutants Load, and Flow</title>
   <p>Antimicrobial pollutants enter and circulate in the environment, potentially bioaccumulate in living tissues, bioconcentrates in living organisms and biomagnifies through food chain (<xref ref-type="bibr" rid="scirp.147445-50">
     Hossein et al., 2023
    </xref>), while creating harm to exposed organism. The presence of antimicrobial pollutants in the environment is linked to deterioration of ecosystem health and increased diseases (<xref ref-type="bibr" rid="scirp.147445-77">
     Martins et al., 2012
    </xref>; <xref ref-type="bibr" rid="scirp.147445-105">
     Omotola et al., 2021
    </xref>). Other pathways by which antimicrobials are introduced into the environment include improper disposal of leftover and expired drugs in water stream or down the toilet, chemical waste from manufacturing facilities, and municipal landfill leachates (<xref ref-type="bibr" rid="scirp.147445-87">
     Miraji
    </xref><xref ref-type="bibr" rid="scirp.147445-87">
     et al., 2016
    </xref>; <xref ref-type="bibr" rid="scirp.147445-128">
     Sorensen et al., 2014
    </xref>), aquaculture, and animal systems (<xref ref-type="bibr" rid="scirp.147445-43">
     Gwenzi et al., 2020
    </xref>). Less-explored yet potentially significant sources include non-engineered landfills, on-site sanitation facilities, funeral parlors, and gravesites (<xref ref-type="bibr" rid="scirp.147445-43">
     Gwenzi et al., 2020
    </xref>). Once these chemicals are in the environment, they can flow from one compartment to another while creating harm. However, the drawbacks of antimicrobials in the environment extend beyond acute effects to delayed effects from bioaccumulation, amplified effects from drug-drug interactions, aggravation of drug resistance, and reduction in aquatic and terrestrial food production (<xref ref-type="bibr" rid="scirp.147445-55">
     Kamba et al., 2017
    </xref>). <xref ref-type="fig" rid="fig2">
     Figure 2
    </xref></p>
   <fig id="fig2" position="float">
    <label>Figure 2</label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.147445-"></xref>Figure 2. Flow of antimicrobial pollutants in different environmental compartments, and through food chain (Source: <xref ref-type="bibr" rid="scirp.147445-107">
       Ripanda
      </xref><xref ref-type="bibr" rid="scirp.147445-107">
       (2024)
      </xref>).</title>
    </caption>
    <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2173559-rId17.jpeg?20251124021759" />
   </fig>
   <p>presents reported sources of antimicrobial pollutants including agronomic activities (<xref ref-type="bibr" rid="scirp.147445-81">
     Mdegela
    </xref><xref ref-type="bibr" rid="scirp.147445-81">
     et al., 2021
    </xref>), direct disposal (<xref ref-type="bibr" rid="scirp.147445-24">
     Chengula
    </xref><xref ref-type="bibr" rid="scirp.147445-24">
     et al., 2015
    </xref>; <xref ref-type="bibr" rid="scirp.147445-59">
     Kihampa, 2013
    </xref>), effluents (<xref ref-type="bibr" rid="scirp.147445-18">
     Bidu
    </xref><xref ref-type="bibr" rid="scirp.147445-18">
     et al., 2021
    </xref>; <xref ref-type="bibr" rid="scirp.147445-87">
     Miraji et al., 2016
    </xref>), therapeutic use including disposal practices (<xref ref-type="bibr" rid="scirp.147445-44">
     Gwenzi et al., 2023
    </xref>; <xref ref-type="bibr" rid="scirp.147445-85">
     Millanzi et al., 2023
    </xref>; <xref ref-type="bibr" rid="scirp.147445-86">
     Minzi &amp; Manyilizu, 2013
    </xref>), indicating human is the source and sink of antimicrobial and other emerging pollutants.</p>
   <p>This may lead to antimicrobial pollution and dissemination of antimicrobial resistant pathogens leading to increased hospitalization (<xref ref-type="bibr" rid="scirp.147445-66">
     Kumburu
    </xref><xref ref-type="bibr" rid="scirp.147445-66">
     et al., 2017
    </xref>; <xref ref-type="bibr" rid="scirp.147445-84">
     Mikomangwa
    </xref><xref ref-type="bibr" rid="scirp.147445-84">
     et al., 2020
    </xref>; <xref ref-type="bibr" rid="scirp.147445-92">
     Moremi
    </xref><xref ref-type="bibr" rid="scirp.147445-92">
     et al., 2016a
    </xref>; <xref ref-type="bibr" rid="scirp.147445-122">
     Seni
    </xref><xref ref-type="bibr" rid="scirp.147445-122">
     et al., 2019b
    </xref>), mortality rates (<xref ref-type="bibr" rid="scirp.147445-19">
     Blom
    </xref><xref ref-type="bibr" rid="scirp.147445-19">
     berg et al., 2007
    </xref>; <xref ref-type="bibr" rid="scirp.147445-75">
     Manyahi
    </xref><xref ref-type="bibr" rid="scirp.147445-75">
     et al., 2020
    </xref>; <xref ref-type="bibr" rid="scirp.147445-121">
     Seni
    </xref><xref ref-type="bibr" rid="scirp.147445-121">
     et al., 2019a
    </xref>; <xref ref-type="bibr" rid="scirp.147445-122">
     Seni
    </xref><xref ref-type="bibr" rid="scirp.147445-122">
     et al., 2019b
    </xref>), and overall degradation of ecological balance (<xref ref-type="bibr" rid="scirp.147445-57">
     Karungamye
    </xref><xref ref-type="bibr" rid="scirp.147445-57">
     et al., 2023
    </xref>; <xref ref-type="bibr" rid="scirp.147445-67">
     Kümmerer
    </xref><xref ref-type="bibr" rid="scirp.147445-67">
     , 2009, 2011
    </xref>; <xref ref-type="bibr" rid="scirp.147445-87">
     Miraji
    </xref><xref ref-type="bibr" rid="scirp.147445-87">
     et al., 2016
    </xref>; <xref ref-type="bibr" rid="scirp.147445-112">
     A.
    </xref><xref ref-type="bibr" rid="scirp.147445-112">
     Ripanda et al., 2023b
    </xref>; <xref ref-type="bibr" rid="scirp.147445-107">
     Ripanda
    </xref><xref ref-type="bibr" rid="scirp.147445-107">
     et al., 2024
    </xref>; <xref ref-type="bibr" rid="scirp.147445-113">
     Ripanda
    </xref><xref ref-type="bibr" rid="scirp.147445-113">
     et al., 2023c
    </xref>). After their introduction into the environment (<xref ref-type="bibr" rid="scirp.147445-113">
     Ripanda
    </xref><xref ref-type="bibr" rid="scirp.147445-113">
     et al., 2023c
    </xref>; <xref ref-type="bibr" rid="scirp.147445-129">
     Subbiah et al., 2020
    </xref>), they persist while circulating in environmental compartments such as soil , water (<xref ref-type="bibr" rid="scirp.147445-48">
     Hossein et al., 2018
    </xref>; <xref ref-type="bibr" rid="scirp.147445-113">
     Ripanda et al., 2023c
    </xref>), sediments (<xref ref-type="bibr" rid="scirp.147445-62">
     Kimera et al., 2021
    </xref>; <xref ref-type="bibr" rid="scirp.147445-117">
     Sabatino et al., 2024
    </xref>), crops (<xref ref-type="bibr" rid="scirp.147445-62">
     Kimera et al., 2021
    </xref>), creating harm and flow including through good chain (<xref ref-type="bibr" rid="scirp.147445-11">
     Azabo
    </xref><xref ref-type="bibr" rid="scirp.147445-11">
     et al., 2022
    </xref>; <xref ref-type="bibr" rid="scirp.147445-108">
     Ripanda et al., 2022
    </xref>; <xref ref-type="bibr" rid="scirp.147445-126">
     Sonola et al., 2021a
    </xref>; <xref ref-type="bibr" rid="scirp.147445-127">
     Sonola et al., 2021b
    </xref>; <xref ref-type="bibr" rid="scirp.147445-129">
     Subbiah et al., 2020
    </xref>). Further the results of environmental risk assessment and routine environmental monitoring regulations do not include antimicrobial pollutants, simply because acute risk assessments show insignificant human health hazards, this may lead to antimicrobial pollution. The presence of antimicrobial pollutants in waters, aquatic ecosystems, and other environmental compartment have been reported globally (<xref ref-type="bibr" rid="scirp.147445-10">
     Atnafie
    </xref><xref ref-type="bibr" rid="scirp.147445-10">
     et al., 2021
    </xref>), with scarcity of information from developing countries as a result of limited fund to purchase or manage the state of art equipment necessary for their isolation, identification, and quantification.</p>
  </sec><sec id="s5">
   <title>
    <xref ref-type="bibr" rid="scirp.147445-"></xref>5. Environmental Effects of Antimicrobial Pollutants</title>
   <p>Most reported antimicrobial pollutants include antibiotics such as ciprofloxacin (<xref ref-type="bibr" rid="scirp.147445-107">
     Ripanda
    </xref><xref ref-type="bibr" rid="scirp.147445-107">
     et al., 2024
    </xref>), and anti-retroviral drugs such as lamivudine (<xref ref-type="bibr" rid="scirp.147445-111">
     Ripanda
    </xref><xref ref-type="bibr" rid="scirp.147445-111">
     et al., 2023a, 2023b
    </xref>), are considered active once in the environment. A load of antimicrobial residues released into the environment after anthropogenic usage has been linked to both human and environmental health degradation. Although antimicrobials are of public health concern, they are currently neither monitored nor included in the environmental guidelines in most countries. These chemicals are environmentally persistent and have tendency to bioconcentrate, bioaccumulate and biomagnify through food chain while causing potential environmental risk especially when such chemicals come into contact with drinking water supplies and the food chain (<xref ref-type="bibr" rid="scirp.147445-1">
     Abelkop
    </xref><xref ref-type="bibr" rid="scirp.147445-1">
     et al., 2018
    </xref>).</p>
   <p>
    <xref ref-type="bibr" rid="scirp.147445-81">
     Robinson H. Mdegela et al.
    </xref><xref ref-type="bibr" rid="scirp.147445-81">
     (2021)
    </xref>, reported that microorganisms, including bacteria, along with their residues, can disseminate through food, water, and the environment, creating a One Health risk pathway that connects other animals, humans, and ecosystems. This pathway also facilitates the potential spread of resistance through travel, trade, and interactions at the interfaces between domestic animals, wildlife, and humans. A recent survey in Tanzania found residues of the human designated antiviral agent lamivudine in animal feeds and tissues of domestic pigs and broiler chickens (<xref ref-type="bibr" rid="scirp.147445-64">
     Kimera et al., 2025
    </xref>). This indicates the potential for these pollutants to be disseminated through the food chain, impairing ecological and public health. Antimicrobial agents such as lamivudine and ciprofloxacin and their residues can exert a wide range of ecotoxicological effects on aquatic organisms, influencing physiological, biochemical, and community-level processes as a result of single or mixture of drugs (<xref ref-type="bibr" rid="scirp.147445-6">
     Alderton et al., 2021
    </xref>; <xref ref-type="bibr" rid="scirp.147445-38">
     Fernandez et al., 2021
    </xref>; <xref ref-type="bibr" rid="scirp.147445-83">
     Michael et al., 2014
    </xref>).</p>
   <p>In the treatment of medical conditions antimicrobials, including antibiotics, play a vital role, but, according to WHO, AMR has been declared a major threat to public health and is predicted to cost about 10 million lives a year by 2050. Reports of occurrences of substances such as antimicrobial pollutants, and other emerging contaminants in the environment including surface waters are globally available (<xref ref-type="bibr" rid="scirp.147445-42">
     Groot &amp; van’t Hooft, 2016
    </xref>; <xref ref-type="bibr" rid="scirp.147445-46">
     Hong et al., 2013
    </xref>; <xref ref-type="bibr" rid="scirp.147445-131">
     Wu et al., 2016
    </xref>), including Tanzania (<xref ref-type="bibr" rid="scirp.147445-48">
     Hossein et al., 2018
    </xref>; <xref ref-type="bibr" rid="scirp.147445-51">
     Hounmanou et al., 2019
    </xref>; <xref ref-type="bibr" rid="scirp.147445-62">
     Kimera et al., 2021
    </xref>; <xref ref-type="bibr" rid="scirp.147445-76">
     Marijani, 2022
    </xref>; <xref ref-type="bibr" rid="scirp.147445-93">
     Moremi et al., 2016b
    </xref>; <xref ref-type="bibr" rid="scirp.147445-100">
     Mzula et al., 2019
    </xref>), this calls for remediation of these contaminants for ecological safety.</p>
   <p>Research laboratories demonstrated growth inhibition in microalgae Pseudokirchneriella subcapitata sunder short-term exposures to ciprofloxacin than Daphnia magna and Gambusia holbrooki (<xref ref-type="bibr" rid="scirp.147445-77">
     Martins et al., 2012
    </xref>), reduced reproduction in crustaceans Daphnia magna (<xref ref-type="bibr" rid="scirp.147445-77">
     Martins et al., 2012
    </xref>), and oxidative stress in fish species such as Danio rerio (<xref ref-type="bibr" rid="scirp.147445-17">
     Batir-Marin et al., 2025
    </xref>). Report of adverse impact on the root lengths on exposure to lamivudine was recorded for Allium cepa, evidenced by chromosomal aberration in the exposed Allium cepa root tips (<xref ref-type="bibr" rid="scirp.147445-105">
     Omotola et al., 2021
    </xref>). These effects collectively indicate the potential of antimicrobials to disrupt aquatic food webs, nutrient cycling, and ecosystem resilience. However, most ecotoxicological data are derived from temperate model organisms that may not accurately represent tropical aquatic systems.</p>
   <p>According to <xref ref-type="bibr" rid="scirp.147445-90">
     Moffo et al. (2024)
    </xref>, the use of antimicrobial agents in production systems and resistance in African fish present a growing public health challenge with direct implications for the One Health framework. The meta-analysis revealed higher pooled prevalence of resistance among bacterial isolates, particularly Escherichia coli showing 87.1% resistance to ampicillin, with widespread multidrug resistance to commonly used antimicrobials including cotrimoxazole, gentamicin, tetracycline, and amoxicillin (<xref ref-type="bibr" rid="scirp.147445-90">
     Moffo et al., 2024
    </xref>). Such resistant strains can be transmitted to humans through the consumption of contaminated fish, contact with aquaculture water, or their environmental dissemination through effluents, thereby undermining the efficacy of critical antibiotics used in clinical settings leading to health degradation. Poor adherence to withdrawal periods and off-label antimicrobial use which increase the likelihood of drug residues in fish and aquatic environments was also highlighted, indicating the potential for consumers to be exposed to the residues and associated health impact. These residues not only pose toxicological risks but also create selective pressure that drives the persistence of resistant bacteria in natural environments. Results of surveillance of Msimbazi River Basin in Tanzania, revealed widespread antimicrobial resistance among Enterobacteriaceae, particularly E. coli and K. pneumoniae (<xref ref-type="bibr" rid="scirp.147445-62">
     Kimera et al., 2021
    </xref>), isolates were multidrug-resistant, with high prevalence of ESBL, quinolone, and carbapenem resistance. This indicates potential for degradation of ecological health, highlighting critical environmental dissemination of AMR and underscore the urgent need to control antimicrobial pollution within the basin. In Tanzania (<xref ref-type="bibr" rid="scirp.147445-61">
     Kilusungu
    </xref><xref ref-type="bibr" rid="scirp.147445-61">
     et al., 2024
    </xref>; <xref ref-type="bibr" rid="scirp.147445-94">
     Mramba &amp; Kahindi, 2023
    </xref>) and other Sub-Saharan African countries, where aquaculture contributes substantially to food security and livelihoods, this situation threatens both public health and economic stability, emphasizing the urgent need for integrated antimicrobial use (AMU) and AMR surveillance, regulatory enforcement, and responsible antimicrobial stewardship in line with One Health principles to ensure ecological safety.</p>
   <p>Furthermore, antimicrobial pollutants may induce selective pressure on microbial communities, promoting the proliferation of resistant microorganism such as antibiotic-resistant bacteria and genes within sediments and water columns. This process creates a feedback loop that links environmental health to human and animal health a central concern under the One Health framework. Considering limited wastewater treatment capacity and the close human, livestock, wildlife-water interface, the ecological risks associated with antimicrobial pollution are particularly pronounced. Therefore, localized ecotoxicological studies using native species and realistic environmental concentrations are essential to assess ecological vulnerability and to guide mitigation and policy interventions.</p>
   <p>The environmental AMR pollution, including resistance genes are linked to clinical outcomes, and in Tanzania is becoming increasingly evident. Studies have revealed that resistance determinants such as bla-CTX-M, bla-SHV, and bla-NDM detected in Escherichia coli and Klebsiella spp. isolated from rivers, wastewater, and livestock environments are genetically similar to those identified in clinical isolates from major hospitals in Dar es Salaam, Mwanza, and Arusha. This overlap suggests continuous exchange of resistance genes between environmental reservoirs and human populations through contaminated water, food, and direct contact. The persistence of these resistance elements in surface waters and sediments not only heightens infection risks but also complicates treatment outcomes in healthcare settings, requiring intervention. Strengthening integrated AMR surveillance that links environmental sampling with hospital microbiology data is therefore vital to fully operationalize One Health AMR framework in Tanzania, enabling timely, evidence-based interventions across sectors.</p>
  </sec><sec id="s6">
   <title>
    <xref ref-type="bibr" rid="scirp.147445-"></xref>6. Regulatory and Management Framework</title>
   <p>In Tanzania, the regulatory and management framework for AMR is designed to address the growing threat through a coordinated, multi-sectoral approach. The framework is guided by the National Action Plan (NAP), which aligns with the Global Action Plan on AMR endorsed by the WHO (<xref ref-type="bibr" rid="scirp.147445-97">
     Munkholm &amp; Rubin, 2020
    </xref>; <xref ref-type="bibr" rid="scirp.147445-103">
     Neale &amp; Cullen, 2024
    </xref>). The key elements of the AMR framework include the NAP, first NAP on AMR was launched its in 2017, covering a five-year period (2017-2022), with ongoing efforts to update and extend the plan (<xref ref-type="bibr" rid="scirp.147445-39">
     Frumence
    </xref><xref ref-type="bibr" rid="scirp.147445-39">
     et al., 2021
    </xref>). The NAP focuses on improving awareness and understanding of AMR, strengthening knowledge through surveillance and research, reducing the incidence of infection, optimizing the use of antimicrobial agents, and ensuring sustainable investment in AMR initiatives (<xref ref-type="bibr" rid="scirp.147445-39">
     Frumence
    </xref><xref ref-type="bibr" rid="scirp.147445-39">
     et al., 2021
    </xref>). Tanzania Medicines and Medical Devices Authority (TMDA) is responsible for regulating the quality, safety, and efficacy of medicines, including antimicrobials (<xref ref-type="bibr" rid="scirp.147445-80">
     Mbwasi
    </xref><xref ref-type="bibr" rid="scirp.147445-80">
     et al., 2020
    </xref>). TMDA oversees the registration, distribution, and use of antibiotics in both human and veterinary medicine. Whereas the Ministry of Health (MoH) oversees the implementation of AMR policies and strategies (<xref ref-type="bibr" rid="scirp.147445-39">
     Frumence
    </xref><xref ref-type="bibr" rid="scirp.147445-39">
     et al., 2021
    </xref>), including infection prevention and control (IPC) programs in healthcare settings. Tanzania Veterinary Laboratory Agency (TVLA) is involved in the regulation of antimicrobial use in animals and ensuring compliance with veterinary guidelines (<xref ref-type="bibr" rid="scirp.147445-89">
     Mkopi
    </xref><xref ref-type="bibr" rid="scirp.147445-89">
     et al., 2024
    </xref>). Tanzania has established an integrated surveillance system for AMR, which includes the collection and analysis of data from both human health and animal health sectors. This system is critical for tracking resistance patterns and informing policy decisions.</p>
   <p>Similarly, the country has developed a network of laboratories capable of detecting AMR, which plays a key role in monitoring resistance trends and guiding treatment protocols (<xref ref-type="bibr" rid="scirp.147445-21">
     Camara et al., 2023
    </xref>). The implementation of IPC programs in hospitals and clinics to reduce the spread of infections and promote the rational use of antimicrobials, will be of help to mitigate the negative effects on these substances on environment and health. Public health campaigns and community outreach programs aim to educate the public on the risks of AMR and promote good hygiene practices (<xref ref-type="bibr" rid="scirp.147445-9">
     Ashley et al., 2016
    </xref>; <xref ref-type="bibr" rid="scirp.147445-96">
     Mudenda et al., 2023
    </xref>). Tanzania has laws and regulations that control the sale and use of antibiotics, particularly focusing on preventing over-the-counter sales without a prescription (<xref ref-type="bibr" rid="scirp.147445-26">
     Chuwa
    </xref><xref ref-type="bibr" rid="scirp.147445-26">
     et al., 2024
    </xref>; <xref ref-type="bibr" rid="scirp.147445-102">
     Ndaki et al., 2021
    </xref>). Also, there are specific guidelines for the prudent use of antimicrobials in animals to prevent the emergence of resistance in zoonotic pathogens. In Tanzania AMR framework is built on a One Health approach, involving collaboration between human health, animal health, and environmental sectors. This approach ensures that AMR is addressed comprehensively across different sectors. Further, universities and research institutions in Tanzania contribute to the AMR framework by conducting studies on resistance mechanisms, developing new diagnostics, and evaluating the effectiveness of AMR interventions. Tanzania collaborates with international organizations such as WHO, the Food and Agriculture Organization (FAO), and the World Organisation for Animal Health (OIE) to strengthen its AMR response and align with global best practices to ensure ecological health and sustainability.</p>
  </sec><sec id="s7">
   <title>
    <xref ref-type="bibr" rid="scirp.147445-"></xref>7. Curbing AMR Pollution through Behavior Change</title>
   <p>Curbing AMR pollution in Tanzania requires not only scientific and policy interventions but also a transformative behavior change across communities (<xref ref-type="bibr" rid="scirp.147445-32">
     Durrance-Bagale et al., 2021
    </xref>; <xref ref-type="bibr" rid="scirp.147445-39">
     Frumence et al., 2021
    </xref>). Through the World AMR Awareness Week (WAAW), Tanzania has amplified national efforts to educate the public on the prudent use of antimicrobials in human, animal, and environmental health sectors (<xref ref-type="bibr" rid="scirp.147445-40">
     Fuller et al., 2023
    </xref>; <xref ref-type="bibr" rid="scirp.147445-79">
     Mathobela, 2025
    </xref>; <xref ref-type="bibr" rid="scirp.147445-95">
     Mramba et al., 2025
    </xref>). The Tanzania Parliamentarian Alliance for AMR has been instrumental in driving political commitment and advocating for evidence-based policies that strengthen antimicrobial stewardship and environmental protection. Complementing these initiatives, grassroots campaigns such as “Healthy Farming-No AMR” promote responsible antibiotic use among livestock farmers by encouraging biosecurity, hygiene, and vaccination as alternatives to routine antimicrobial use. Similarly, the “Holelaholela Itakucost” campaign uses culturally resonant messaging to warn against careless antibiotic consumption and disposal, linking everyday behavior to the growing AMR crisis. Together, these efforts underscore the power of coordinated awareness, policy advocacy, and behavioral change in reducing AMR pollution and safeguarding public health in Tanzania.</p>
  </sec><sec id="s8">
   <title>8. World AMR Awareness Week (WAAW) in Tanzania</title>
   <p>Tanzania has emerged as a continental leader in promoting antimicrobial resistance (AMR) awareness through the annual commemoration of World AMR Awareness Week (WAAW), coordinated by the Ministry of Health in collaboration with key One Health partners. The country’s role as host of the 7th Africa Continental WAAW Campaign, planned for November 2025 in Dar es Salaam, underscores its growing regional influence in AMR advocacy and policy dialogue. WAAW events in Tanzania bring together diverse stakeholders—including human and animal health professionals, environmental experts, researchers, policymakers, and the public to promote responsible antimicrobial use, infection prevention, and biosecurity best practices. This multi-sector engagement not only reinforces Tanzania’s One Health approach but also translates global AMR commitments into community-level action and behavioural change. Through such sustained annual campaigns, Tanzania continues to demonstrate how coordinated public awareness can catalyse national and regional progress in AMR mitigation.</p>
  </sec><sec id="s9">
   <title>9. The “Healthy Farming-No AMR” Campaign</title>
   <p>The “Healthy Farming-No AMR” campaign, organised by the One Health Society, Tanzania and supported by the Trinity Challenge, is one example of a community-driven effort to combat AMR focusing on the livestock, environment-human interface. This campaign was conducted between June and November 2025 across the Dar es Salaam and Pwani regions in the eastern costal part of Tanzania, using integrated One Health approach to transform livestock production practices through behaviour change, education, and innovation. The campaign engaged livestock farmers, veterinarians, feed suppliers, and community leaders, to promote prudent antimicrobial use, improved biosecurity, and environmentally sustainable farming. The campaign focus on co-designing solutions with farmers showing workable alternatives like improved record-keeping, vaccination, and hygiene lessen reliance on antibiotics. The campaign further links farm-level stewardship with environmental protection by addressing antimicrobial pollutants in effluents and animal waste, reinforcing that responsible farming is not only vital for animal health and productivity but also for safeguarding ecosystems and public health. These locally tailored, evidence-informed interventions can operationalize One Health principles for real-world AMR mitigation in Tanzania.</p>
  </sec><sec id="s10">
   <title>10. The Tanzania Parliamentarian Alliance for AMR</title>
   <p>The Tanzania Parliamentarian Alliance for AMR, an initiative led by the One Health Society-Tanzania (OHS), marks a transformative step toward embedding antimicrobial resistance (AMR) governance into the country’s political and legislative framework. By strategically engaging Members of Parliament, the initiative fosters political will, policy coherence, and resource mobilization to strengthen Tanzania’s multisectoral AMR response. Drawing on OHS’s advocacy evidence and the National Action Plan on AMR (2017-2022), the alliance empowers legislators to champion laws that regulate antimicrobial use across human health, veterinary, and environmental sectors aligning with the Global Action Plan on AMR (WHO, FAO &amp; OIE). Its innovation lies in bridging the gap between science and policy, ensuring parliamentary committees integrate AMR oversight within public health, agriculture, and environmental governance agendas. This political stewardship model demonstrates how Tanzania is institutionalizing the One Health approach through legislative engagement, fostering accountability and sustainability in AMR mitigation.</p>
  </sec><sec id="s11">
   <title>11. The “Holelaholela Itaku-Cost” Campaign</title>
   <p>In Tanzania, the “Holela-holela Itakukosti” campaign literally translated as “Recklessness Will Cost You”, which is most creative and impactful public health initiatives addressing AMR. This is collaborative campaign between the Government of Tanzania through Office of the Prime Minister, One Health Section, Ministries of Health, Livestock, Fisheries, and Environment, United States Agency for International Development (USAID), and the Johns Hopkins Center for Communication Programs (CCP) (<xref ref-type="bibr" rid="scirp.147445-28">
     Desmon, 2024
    </xref>), launched under the One Health framework. The campaign blends science-based messaging with culturally resonant communication strategies to shift public behaviour around antibiotic usage. The campaign reframes AMR as not only a medical but also social and economic issue that affects families, farmers, and entire ecosystems, through the use of mass media, social influencers, community dialogues, and an engaging mascot representing “responsible medicine”. “Holela-holela Itakukosti” is an example of innovation in public engagement that integrates messages on human, animal, and environmental health to transform AMR into relatable everyday actions such as completing prescriptions, avoiding self-medication, and maintaining hygiene in livestock management, aiding in the combat to ensure ecological safety.</p>
   <p>This participatory approach empowers communities to become stewards of antimicrobial stewardship, making it a model for AMR mitigation efforts across Africa. Preliminary descriptive data suggest that the ‘Holela-Holela Itakukosti’ campaign engaged a broad audience: for example, media reports cite approximately 24.7 million listeners reached and over 23 million social-media account users exposed to campaign content. Although these figures point to high reach and favourable expert endorsement, many countries within the East, Central and Southern African region have expressed interest in emulating it, rigorous publicly‐available evaluation data on sustained behaviour change, antimicrobial consumption or reduction in misuse remain limited.</p>
  </sec><sec id="s12">
   <title>
    <xref ref-type="bibr" rid="scirp.147445-"></xref>12. Challenges and Future Directions</title>
   <p>Tanzania faces significant challenges in combating AMR, primarily due to inadequate regulation, overuse of antibiotics, and limited public awareness (<xref ref-type="bibr" rid="scirp.147445-21">
     Camara et al., 2023
    </xref>; <xref ref-type="bibr" rid="scirp.147445-80">
     Mbwasi et al., 2020
    </xref>; <xref ref-type="bibr" rid="scirp.147445-102">
     Ndaki et al., 2021
    </xref>). A key issue is the widespread use of antibiotics in agriculture (<xref ref-type="bibr" rid="scirp.147445-81">
     Mdegela
    </xref><xref ref-type="bibr" rid="scirp.147445-81">
     et al., 2021
    </xref>), and human health (<xref ref-type="bibr" rid="scirp.147445-80">
     Mbwasi
    </xref><xref ref-type="bibr" rid="scirp.147445-80">
     et al., 2020
    </xref>; <xref ref-type="bibr" rid="scirp.147445-81">
     Mdegela et al., 2021
    </xref>; <xref ref-type="bibr" rid="scirp.147445-102">
     Ndaki et al., 2021
    </xref>), without proper oversight, contributing to the rapid emergence of resistant strains. Studies have shown that antibiotic residues are prevalent in the environment (<xref ref-type="bibr" rid="scirp.147445-110">
     Ripanda
    </xref><xref ref-type="bibr" rid="scirp.147445-110">
     &amp; Miraji, 2022
    </xref>; <xref ref-type="bibr" rid="scirp.147445-107">
     Ripanda, 2024
    </xref>), particularly in wastewater (<xref ref-type="bibr" rid="scirp.147445-113">
     Ripanda
    </xref><xref ref-type="bibr" rid="scirp.147445-113">
     et al., 2023c
    </xref>; <xref ref-type="bibr" rid="scirp.147445-109">
     Ripanda et al., 2021
    </xref>), and agricultural runoff (<xref ref-type="bibr" rid="scirp.147445-50">
     Hossein et al., 2023
    </xref>; <xref ref-type="bibr" rid="scirp.147445-88">
     Miraji et al., 2021
    </xref>; <xref ref-type="bibr" rid="scirp.147445-109">
     Ripanda et al., 2021
    </xref>), exacerbating the spread of resistance genes. The healthcare infrastructure struggles with inconsistent antibiotic stewardship, and diagnostic capacities are often insufficient, leading to the misuse of antibiotics. For example, antibiotics are frequently prescribed without confirming bacterial infections, driven by limited access to diagnostic tools (<xref ref-type="bibr" rid="scirp.147445-31">
     Doern &amp; Brecher, 2011
    </xref>). Additionally, counterfeit and substandard medications (<xref ref-type="bibr" rid="scirp.147445-7">
     Al-Worafi, 2020
    </xref>; <xref ref-type="bibr" rid="scirp.147445-58">
     Kelesidis et al., 2007
    </xref>), further contribute to resistance.</p>
   <p>Future efforts must focus on strengthening regulatory frameworks, improving antibiotic stewardship, and enhancing public education on the prudent use of antibiotics. The implementation of robust surveillance systems is critical to monitor AMR patterns and guide targeted interventions. Moreover, integrating AMR strategies into the broader public health agenda, including water, sanitation, and hygiene (WASH) initiatives, is vital for controlling the spread of resistance. Collaboration between government, healthcare providers, and international organizations will be essential to build capacity and ensure sustainable solutions to the growing AMR challenge in Tanzania.</p>
   <p>While Tanzania has made commendable strides in addressing AMR, significant research gaps remain that prospective researcher must address to strengthen the country’s AMR response. The limited scope and geographic coverage of AMR surveillance systems, necessitating studies that leverage innovative, cost-effective technologies such as genomic sequencing or AI-driven analytics to monitor resistance patterns in underrepresented regions. Additionally, the long-term ecological and human health impacts of antimicrobial pollutants in Tanzanian waterways and agricultural soils are poorly understood, highlighting the need for investigations into how these pollutants contribute to resistance gene proliferation. Research into the effectiveness of specific water, sanitation, and hygiene (WASH) interventions in mitigating AMR transmission dynamics is also essential. Furthermore, there is a pressing need to explore the cultural, economic, and behavioral drivers of antibiotic misuse, particularly in rural and underserved areas, to inform targeted public health campaigns. Alternative antimicrobial strategies, such as plant-based treatments or phage therapy, require further study to reduce reliance on conventional antimicrobials including antibiotics. Finally, while regulatory frameworks exist, their implementation and efficacy remain underexplored, creating opportunities for research into enforcement mechanisms and their outcomes. Addressing these gaps will provide critical insights to guide sustainable, evidence-based strategies in the fight against AMR in Tanzania.</p>
  </sec><sec id="s13">
   <title>13. Conclusion</title>
   <p>Antimicrobial pollution in Tanzania poses an escalating threat at the nexus of public health, agriculture, and environmental sustainability. High levels of antimicrobial residues and resistant bacteria, particularly E. coli and Klebsiella spp. have been detected indicating contamination from human and animal waste streams. Unregulated antibiotic use continues to drive the emergence of multidrug-resistant pathogens, with residues often exceeding recommended limits in animal products and sediments. While One Health commitment and national action plan mark substantial progress in Tanzania, addressing AMR pollution demands enhanced environmental monitoring, strict enforcement of antimicrobial stewardship, and community-level awareness. Leveraging digital technologies, local research innovations, and community education can transform current efforts into data-driven, sustainable solutions. The stakes are high, but with strategic investments and a concerted national effort, Tanzania can mitigate the impact of AMR, safeguarding the health and well-being of its population for generations to come.</p>
  </sec><sec id="s14">
   <title>Appendix</title>
   <table-wrap id="table1">
    <label>
     <xref ref-type="table" rid="table1">
      Table 1
     </xref></label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.147445-"></xref>Table A1. Selected antimicrobial agents used in Tanzania.</title>
    </caption>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td class="acenter" width="14.07%"><p style="text-align:center">Antimicrobial used</p></td> 
      <td class="acenter" width="6.42%"><p style="text-align:center">Type</p></td> 
      <td class="acenter" width="23.66%"><p style="text-align:center">Structure</p></td> 
      <td class="acenter" width="27.59%"><p style="text-align:center">Reported environmental effects</p></td> 
      <td class="acenter" width="17.72%"><p style="text-align:center">Implication</p></td> 
      <td class="acenter" width="10.54%"><p style="text-align:center">References</p></td> 
     </tr> 
     <tr> 
      <td class="tbtextacenter" width="14.07%"><p style="text-align:center">Doxycycline</p></td> 
      <td class="tbtextacenter" width="6.42%"><p style="text-align:center">Tetracyclines, broad-spectrum antibiotics</p></td> 
      <td class="acenter" width="23.66%"><p style="text-align:center"><p class="imgGroupCss_v"><img class=" imgMarkCss lazy" data-original="https://html.scirp.org/file/2173559-rId134.jpeg?20251124021803" /></p></p></td> 
      <td class="acenter" width="27.59%"><p style="text-align:center">Can accumulate in the food chain, leading to toxicity in microbial communities, promoting antibiotic resistance, contaminating drinking and irrigation water, and disrupting the microbial balance in the human intestine</p></td> 
      <td class="acenter" width="17.72%"><p style="text-align:center">This indicates the need for careful management of antibiotic use and waste to prevent environmental contamination and protect public health</p></td> 
      <td class="acenter" width="10.54%"><p style="text-align:center">(<xref ref-type="bibr" rid="scirp.147445-8">
         Amangelsin
        </xref><xref ref-type="bibr" rid="scirp.147445-8">
         et al., 2023
        </xref>; <xref ref-type="bibr" rid="scirp.147445-123">
         Shao
        </xref><xref ref-type="bibr" rid="scirp.147445-123">
         &amp; Wu, 2020
        </xref>)</p></td> 
     </tr> 
     <tr> 
      <td class="tbtextacenter" width="14.07%"><p style="text-align:center">Sulphonamides</p></td> 
      <td rowspan="2" class="tbtextacenter" width="6.42%"><p style="text-align:center">Antimetabolite antibiotics</p></td> 
      <td class="acenter" width="23.66%"><p style="text-align:center"><p class="imgGroupCss_v"><img class=" imgMarkCss lazy" data-original="https://html.scirp.org/file/2173559-rId136.jpeg?20251124021803" /></p></p></td> 
      <td rowspan="2" class="acenter" width="27.59%"><p style="text-align:center">The species tested displayed varying levels of acute sensitivity to SMX (A. fischeri &lt; D. magna &lt; E. coli &lt; L. minor) and TRIM (L. minor &lt; A. fischeri &lt; D. magna &lt; E. coli). TRIM generally exhibited lower toxicity than SMX, except in the case of E. coli. Both antibiotics impacted L. minor, D. magna, and D. rerio at both individual levels (e.g., growth and survival) and sub-individual levels.</p></td> 
      <td rowspan="2" class="acenter" width="17.72%"><p style="text-align:center">The varying sensitivities of species to SMX and TRIM, indicating potential ecological disruption, environmental risk, and the need for monitoring to prevent antibiotic resistance and long-term ecosystem damage.</p></td> 
      <td class="acenter" width="10.54%"><p style="text-align:center">(<xref ref-type="bibr" rid="scirp.147445-29">
         Diogo
        </xref><xref ref-type="bibr" rid="scirp.147445-29">
         et al., 2024
        </xref>; <xref ref-type="bibr" rid="scirp.147445-37">
         Felis
        </xref><xref ref-type="bibr" rid="scirp.147445-37">
         et al., 2020
        </xref>)</p></td> 
     </tr> 
     <tr> 
      <td class="tbtextacenter" width="14.07%"><p style="text-align:center">Trimethoprim</p></td> 
      <td class="acenter" width="23.66%"><p style="text-align:center"><p class="imgGroupCss_v"><img class=" imgMarkCss lazy" data-original="https://html.scirp.org/file/2173559-rId138.jpeg?20251124021803" /></p></p></td> 
      <td class="acenter" width="10.54%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="tbtextacenter" width="14.07%"><p style="text-align:center">Ciprofloxacin</p></td> 
      <td rowspan="3" class="tbtextacenter" width="6.42%"><p style="text-align:center">Quinolones, broad-spectrum antibiotics</p></td> 
      <td class="acenter" width="23.66%"><p style="text-align:center"><p class="imgGroupCss_v"><img class=" imgMarkCss lazy" data-original="https://html.scirp.org/file/2173559-rId140.jpeg?20251124021803" /></p></p></td> 
      <td class="acenter" width="27.59%"><p style="text-align:center">Even ecologically relevant concentrations of ciprofloxacin may cause oxidative stress in individuals of D. magna and in catfish Rhamdia quelen</p></td> 
      <td class="acenter" width="17.72%"><p style="text-align:center">This indicates potential exposure to ciprofloxacin, which may impar ecological health</p></td> 
      <td class="acenter" width="10.54%"><p style="text-align:center">(<xref ref-type="bibr" rid="scirp.147445-30">
         Dionísio
        </xref><xref ref-type="bibr" rid="scirp.147445-30">
         et al., 2020
        </xref>; <xref ref-type="bibr" rid="scirp.147445-132">
         Zhang
        </xref><xref ref-type="bibr" rid="scirp.147445-132">
         et al., 2022
        </xref>)</p></td> 
     </tr> 
     <tr> 
      <td class="tbtextacenter" width="14.07%"><p style="text-align:center">Nalidixic Acid</p></td> 
      <td class="acenter" width="23.66%"><p style="text-align:center"><p class="imgGroupCss_v"><img class=" imgMarkCss lazy" data-original="https://html.scirp.org/file/2173559-rId142.jpeg?20251124021803" /></p></p></td> 
      <td class="acenter" width="27.59%"><p style="text-align:center">Results indicated significant changes in the growth profile of commensal E. coli upon exposure to NA at sub‐MICs.</p></td> 
      <td class="acenter" width="17.72%"><p style="text-align:center">This demonstrates how antibiotics play an important role as signalling molecules or elicitors in driving the pathogenicity of commensal bacteria in vitro</p></td> 
      <td class="acenter" width="10.54%"><p style="text-align:center">(<xref ref-type="bibr" rid="scirp.147445-22">
         Chadha &amp; Khullar, 2021
        </xref>)</p></td> 
     </tr> 
     <tr> 
      <td class="tbtextacenter" width="14.07%"><p style="text-align:center">Sparfloxacin</p></td> 
      <td class="acenter" width="23.66%"><p style="text-align:center"><p class="imgGroupCss_v"><img class=" imgMarkCss lazy" data-original="https://html.scirp.org/file/2173559-rId144.jpeg?20251124021803" /></p></p></td> 
      <td class="acenter" width="27.59%"><p style="text-align:center">The highest concentration of ofloxacin, ciprofloxacin, sparfloxacin and gemifloxacin were found to be 66, 18, 58 and 0.2 μg/L respectively. Which may impact ecological health</p></td> 
      <td class="acenter" width="17.72%"><p style="text-align:center">Potential degradation to ecological health</p></td> 
      <td class="acenter" width="10.54%"><p style="text-align:center">(<xref ref-type="bibr" rid="scirp.147445-33">
         Efthimiadou
        </xref><xref ref-type="bibr" rid="scirp.147445-33">
         et al., 2010
        </xref>)</p></td> 
     </tr> 
     <tr> 
      <td class="tbtextacenter" width="14.07%"><p style="text-align:center">Gentamicin</p></td> 
      <td class="tbtextacenter" width="6.42%"><p style="text-align:center">Aminoglycosides, antibiotics</p></td> 
      <td class="acenter" width="23.66%"><p style="text-align:center"><p class="imgGroupCss_v"><img class=" imgMarkCss lazy" data-original="https://html.scirp.org/file/2173559-rId146.jpeg?20251124021803" /></p></p></td> 
      <td class="acenter" width="27.59%"><p style="text-align:center">Gentamicin can be toxic to certain aquatic organisms, such as fish and invertebrates. Exposure to sub-lethal concentrations can impact their growth, reproduction, and overall health, potentially leading to declines in population and biodiversity</p></td> 
      <td class="acenter" width="17.72%"><p style="text-align:center">There is the need for managing the use and disposal of gentamicin and other antibiotics to mitigate their impact on ecosystems and public health</p></td> 
      <td class="acenter" width="10.54%"><p style="text-align:center">(<xref ref-type="bibr" rid="scirp.147445-4">
         Adeyemo
        </xref><xref ref-type="bibr" rid="scirp.147445-4">
         et al., 2021
        </xref>; <xref ref-type="bibr" rid="scirp.147445-23">
         Chakraborty
        </xref><xref ref-type="bibr" rid="scirp.147445-23">
         et al., 2023
        </xref>)</p></td> 
     </tr> 
     <tr> 
      <td class="tbtextacenter" width="14.07%"><p style="text-align:center">Streptomycin</p></td> 
      <td class="tbtextacenter" width="6.42%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="23.66%"><p style="text-align:center"><p class="imgGroupCss_v"><img class=" imgMarkCss lazy" data-original="https://html.scirp.org/file/2173559-rId148.jpeg?20251124021803" /></p></p></td> 
      <td class="acenter" width="27.59%"><p style="text-align:center">Potential for bioaccumulation, bioconcentration and biomagnification through food chain while cause resistance and complication.</p></td> 
      <td class="acenter" width="17.72%"><p style="text-align:center">Measures are required for ecological safety</p></td> 
      <td class="acenter" width="10.54%"><p style="text-align:center">(<xref ref-type="bibr" rid="scirp.147445-41">
         Granja et al., 2009
        </xref>)</p></td> 
     </tr> 
     <tr> 
      <td class="tbtextacenter" width="14.07%"><p style="text-align:center">Metronidazole</p></td> 
      <td class="tbtextacenter" width="6.42%"><p style="text-align:center">Beta-lactams, antibiotics</p></td> 
      <td class="acenter" width="23.66%"><p style="text-align:center"><p class="imgGroupCss_v"><img class=" imgMarkCss lazy" data-original="https://html.scirp.org/file/2173559-rId150.jpeg?20251124021803" /></p></p></td> 
      <td class="acenter" width="27.59%"><p style="text-align:center">Toxic to aquatic organisms, including fish, invertebrates, and algae. Exposure can lead to changes in growth, reproduction, and survival rates, potentially affecting aquatic biodiversity and ecosystem health.</p></td> 
      <td class="acenter" width="17.72%"><p style="text-align:center">Measures are required for ecological safety</p></td> 
      <td class="acenter" width="10.54%"><p style="text-align:center">(<xref ref-type="bibr" rid="scirp.147445-53">
         Ighalo
        </xref><xref ref-type="bibr" rid="scirp.147445-53">
         et al., 2020
        </xref>; <xref ref-type="bibr" rid="scirp.147445-71">
         Li
        </xref><xref ref-type="bibr" rid="scirp.147445-71">
         et al., 2023
        </xref>)</p></td> 
     </tr> 
     <tr> 
      <td class="tbtextacenter" width="14.07%"><p style="text-align:center">Amoxicillin</p></td> 
      <td class="tbtextacenter" width="6.42%"><p style="text-align:center">Penicillin class of antibiotics</p></td> 
      <td class="acenter" width="23.66%"><p style="text-align:center"><p class="imgGroupCss_v"><img class=" imgMarkCss lazy" data-original="https://html.scirp.org/file/2173559-rId152.jpeg?20251124021803" /></p></p></td> 
      <td class="acenter" width="27.59%"><p style="text-align:center">Toxic to aquatic organisms such as fish, invertebrates, and algae. This can lead to reduced growth, reproductive issues, and potential declines in aquatic biodiversity.</p></td> 
      <td class="acenter" width="17.72%"><p style="text-align:center">Measures are required for ecological safety</p></td> 
      <td class="acenter" width="10.54%"><p style="text-align:center">(<xref ref-type="bibr" rid="scirp.147445-70">
         Lee
        </xref><xref ref-type="bibr" rid="scirp.147445-70">
         et al., 2021
        </xref>; <xref ref-type="bibr" rid="scirp.147445-125">
         Sodhi
        </xref><xref ref-type="bibr" rid="scirp.147445-125">
         et al., 2021
        </xref>)</p></td> 
     </tr> 
     <tr> 
      <td class="tbtextacenter" width="14.07%"><p style="text-align:center">Lamivudine</p></td> 
      <td class="tbtextacenter" width="6.42%"><p style="text-align:center">Nucleoside reverse transcriptase inhibitors (NRTIs)</p></td> 
      <td class="acenter" width="23.66%"><p style="text-align:center"><p class="imgGroupCss_v"><img class=" imgMarkCss lazy" data-original="https://html.scirp.org/file/2173559-rId154.jpeg?20251124021803" /></p></p></td> 
      <td class="acenter" width="27.59%"><p style="text-align:center">Lamivudine can be harmful to aquatic flora and fauna. Ecotoxicity bioassays have shown that lamivudine can have an adverse effect on the germination rate and hypocotyl lengths of seeds</p></td> 
      <td class="acenter" width="17.72%"><p style="text-align:center">Lamivudine is ecotoxic, with potential to disrupt aquatic ecosystems by impairing plant development, affecting biodiversity, and altering food chains. Requiring improved wastewater treatment and stricter regulations to mitigate antimicrobial pollution and its broader ecological impacts.</p></td> 
      <td class="acenter" width="10.54%"><p style="text-align:center">(<xref ref-type="bibr" rid="scirp.147445-5">
         Akenga
        </xref><xref ref-type="bibr" rid="scirp.147445-5">
         et al., 2021
        </xref>; <xref ref-type="bibr" rid="scirp.147445-45">
         Hamim
        </xref><xref ref-type="bibr" rid="scirp.147445-45">
         et al., 2021
        </xref>; <xref ref-type="bibr" rid="scirp.147445-65">
         Kitamura
        </xref><xref ref-type="bibr" rid="scirp.147445-65">
         et al., 2023
        </xref>; <xref ref-type="bibr" rid="scirp.147445-105">
         Omotola
        </xref><xref ref-type="bibr" rid="scirp.147445-105">
         et al., 2021
        </xref>; <xref ref-type="bibr" rid="scirp.147445-119">
         Scotti
        </xref><xref ref-type="bibr" rid="scirp.147445-119">
         &amp; Barlow, 2022
        </xref>)</p></td> 
     </tr> 
     <tr> 
      <td class="tbtextacenter" width="14.07%"><p style="text-align:center">Ritonavir</p></td> 
      <td class="tbtextacenter" width="6.42%"><p style="text-align:center">Protease inhibitors</p></td> 
      <td class="acenter" width="23.66%"><p style="text-align:center"><p class="imgGroupCss_v"><img class=" imgMarkCss lazy" data-original="https://html.scirp.org/file/2173559-rId156.jpeg?20251124021803" /></p></p></td> 
      <td class="acenter" width="27.59%"><p style="text-align:center">Given the limited data on ritonavir’s direct effects on terrestrial and aquatic plants, further research is necessary to understand its environmental impact fully</p></td> 
      <td class="acenter" width="17.72%"><p style="text-align:center">Monitoring and mitigating the release of ritonavir into the environment are crucial steps to protect the environment</p></td> 
      <td class="acenter" width="10.54%"><p style="text-align:center">(<xref ref-type="bibr" rid="scirp.147445-104">
         Nugnes
        </xref><xref ref-type="bibr" rid="scirp.147445-104">
         et al., 2024
        </xref>)</p></td> 
     </tr> 
    </table>
   </table-wrap>
   <table-wrap id="table2">
    <label>
     <xref ref-type="table" rid="table2">
      Table 2
     </xref></label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.147445-"></xref>Table A2. Representative data on antimicrobial pollution, levels of antimicrobials where available, antimicrobial resistant microbes, and resistant genes in surface and, ground water, and food chain reported in Tanzania.</title>
    </caption>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td class="acenter" width="10.59%"><p style="text-align:center">Study</p></td> 
      <td class="acenter" width="9.72%"><p style="text-align:center">Type of study</p></td> 
      <td class="acenter" width="4.42%"><p style="text-align:center">year</p></td> 
      <td class="acenter" width="10.16%"><p style="text-align:center">Matrix or Site</p></td> 
      <td class="acenter" width="21.38%"><p style="text-align:center">Results</p></td> 
      <td class="acenter" width="13.36%"><p style="text-align:center">ARGs</p></td> 
      <td class="acenter" width="11.02%"><p style="text-align:center">Levels</p></td> 
      <td class="acenter" width="10.34%"><p style="text-align:center">Implication</p></td> 
      <td class="acenter" width="9.01%"><p style="text-align:center">References</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="10.59%"><p style="text-align:center">Investigation of AMR, and virulence genes in P. multocida isolated from goats with pneumonic pasteurellosis</p></td> 
      <td class="acenter" width="9.72%"><p style="text-align:center">Experimental</p></td> 
      <td class="acenter" width="4.42%"><p style="text-align:center">2024</p></td> 
      <td class="acenter" width="10.16%"><p style="text-align:center">Pasteurella multocida isolated from pneumonic goats</p></td> 
      <td class="acenter" width="21.38%"><p style="text-align:center">Results revealed high resistance against antimicrobials, including cefotaxime, sulfamethoxazole/trimethoprim, amoxicillin, erythromycin, ampicillin, chloramphenicol, tetracycline, and pefloxacin. However, they remained 100 % susceptible to gentamicin and ciprofloxacin</p></td> 
      <td class="acenter" width="13.36%"><p style="text-align:center">ErmX, blaTEM and sul1</p></td> 
      <td class="acenter" width="11.02%"><p style="text-align:center">-</p></td> 
      <td class="acenter" width="10.34%"><p style="text-align:center">This may significantly impact animal health and productivity, leading to substantial economic losses for producers</p></td> 
      <td class="acenter" width="9.01%"><p style="text-align:center">(<xref ref-type="bibr" rid="scirp.147445-98">
         Mwanga et al., 2024
        </xref>)</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="10.59%"><p style="text-align:center">Investigation of the prevalence and AMR</p><p style="text-align:center">patterns of E. coli and Salmonella spp. isolated from rodents</p></td> 
      <td class="acenter" width="9.72%"><p style="text-align:center">Experimental</p></td> 
      <td class="acenter" width="4.42%"><p style="text-align:center">2024</p></td> 
      <td class="acenter" width="10.16%"><p style="text-align:center">Domestic and peri-domestic rodents</p></td> 
      <td class="acenter" width="21.38%"><p style="text-align:center">This study provides preliminary data on the prevalence and antimicrobial resistance characteristics of E. coli isolated from rodents in Iringa municipality, shedding light on the resistance profiles of these pathogens within their respective reservoirs</p></td> 
      <td class="acenter" width="13.36%"><p style="text-align:center">BlaCTX-M, sul1, sul2, tetA, acrA, and aac (3)-1, where the acr (A)</p></td> 
      <td class="acenter" width="11.02%"><p style="text-align:center">-</p></td> 
      <td class="acenter" width="10.34%"><p style="text-align:center">Potential exposure through food chain</p></td> 
      <td class="acenter" width="9.01%"><p style="text-align:center">(<xref ref-type="bibr" rid="scirp.147445-89">
         Mkopi
        </xref><xref ref-type="bibr" rid="scirp.147445-89">
         et al., 2024
        </xref>)</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="10.59%"><p style="text-align:center">Presence and distribution of genes encoding ESBL and quinolone resistance in multi-drug-resistant in microbs</p></td> 
      <td class="acenter" width="9.72%"><p style="text-align:center">Experimental</p></td> 
      <td class="acenter" width="4.42%"><p style="text-align:center">2024</p></td> 
      <td class="acenter" width="10.16%"><p style="text-align:center">Poultry, domestic pig and environmental samples along Msimbazi River</p></td> 
      <td class="acenter" width="21.38%"><p style="text-align:center">Resistance genes were highest in isolates from the environmental samples (86%, n = 33), followed by poultry 72.5% (n = 29), and domestic pigs 21.4%, (n = 9).</p></td> 
      <td class="acenter" width="13.36%"><p style="text-align:center">BlaCTX-M, blaTEM, qnrS, qnrB and aac (6)-lb-cr</p></td> 
      <td class="acenter" width="11.02%"><p style="text-align:center">-</p></td> 
      <td class="acenter" width="10.34%"><p style="text-align:center">Potential exposure to aquatics</p></td> 
      <td class="acenter" width="9.01%"><p style="text-align:center">(<xref ref-type="bibr" rid="scirp.147445-63">
         Kimera et al., 2024
        </xref>)</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="10.59%"><p style="text-align:center">Investigation of antimicrobials in surface and ground waters</p></td> 
      <td class="acenter" width="9.72%"><p style="text-align:center">Experimental</p></td> 
      <td class="acenter" width="4.42%"><p style="text-align:center">2024</p></td> 
      <td class="acenter" width="10.16%"><p style="text-align:center">Surface and ground water</p></td> 
      <td class="acenter" width="21.38%"><p style="text-align:center">Report indicates the presence of amoxicillin, doxycycline and other pharmaceuticals.</p></td> 
      <td class="acenter" width="13.36%"><p style="text-align:center">-</p></td> 
      <td class="acenter" width="11.02%"><p style="text-align:center">Except for sulfamethoxazole (94 ng/L) in the borehole, most of the concentrations detected in rivers were ten times higher than in boreholes</p></td> 
      <td class="acenter" width="10.34%"><p style="text-align:center">Potential harm to the entire ecology through the food chain</p></td> 
      <td class="acenter" width="9.01%"><p style="text-align:center">(<xref ref-type="bibr" rid="scirp.147445-69">
         Kundu et al., 2024
        </xref>)</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="10.59%"><p style="text-align:center">Investigation of composition of Cholera Outbreak Waters</p></td> 
      <td class="acenter" width="9.72%"><p style="text-align:center">Experimental</p></td> 
      <td class="acenter" width="4.42%"><p style="text-align:center">2023</p></td> 
      <td class="acenter" width="10.16%"><p style="text-align:center">Water sources</p></td> 
      <td class="acenter" width="21.38%"><p style="text-align:center">Multiple antibiotic resistance genes were detected in both the bacterial and bacteriophage fractions of water sources</p></td> 
      <td class="acenter" width="13.36%"><p style="text-align:center">BlaOXA-48, tetA, tetM, and blaCTX-M9, blaCTX-M1</p></td> 
      <td class="acenter" width="11.02%"><p style="text-align:center">-</p></td> 
      <td class="acenter" width="10.34%"><p style="text-align:center">Wastewater is the potential hotsport for contamination of surface waters</p></td> 
      <td class="acenter" width="9.01%"><p style="text-align:center">(<xref ref-type="bibr" rid="scirp.147445-15">
         Baraka et al., 2023
        </xref>)</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="10.59%"><p style="text-align:center">Investigation of composition of Cholera Outbreak Waters</p></td> 
      <td class="acenter" width="9.72%"><p style="text-align:center">Experimental</p></td> 
      <td class="acenter" width="4.42%"><p style="text-align:center">2023</p></td> 
      <td class="acenter" width="10.16%"><p style="text-align:center">Water sources</p></td> 
      <td class="acenter" width="21.38%"><p style="text-align:center">Multiple antibiotic resistance genes were detected in both the bacterial and bacteriophage fractions of water sources</p></td> 
      <td class="acenter" width="13.36%"><p style="text-align:center">BlaOXA-48, tetA, tetM, and blaCTX-M9, blaCTX-M1</p></td> 
      <td class="acenter" width="11.02%"><p style="text-align:center">-</p></td> 
      <td class="acenter" width="10.34%"><p style="text-align:center">Wastewater is the potential hotsport for contamination of surface waters</p></td> 
      <td class="acenter" width="9.01%"><p style="text-align:center">(<xref ref-type="bibr" rid="scirp.147445-15">
         Baraka et al., 2023
        </xref>)</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="10.59%"><p style="text-align:center">Assessment of antibiotic use practices</p></td> 
      <td class="acenter" width="9.72%"><p style="text-align:center">Retrospective cross-sectional study</p></td> 
      <td class="acenter" width="4.42%"><p style="text-align:center">2023</p></td> 
      <td class="acenter" width="10.16%"><p style="text-align:center">Dodoma region, Central Tanzania</p></td> 
      <td class="acenter" width="21.38%"><p style="text-align:center">The prevalence of self-medication with antibiotics was 23.6% (38/161) among rural respondents and 23.4% (63/269) among urban respondents.</p></td> 
      <td class="acenter" width="13.36%"><p style="text-align:center">-</p></td> 
      <td class="acenter" width="11.02%"><p style="text-align:center">-</p></td> 
      <td class="acenter" width="10.34%"><p style="text-align:center">Antibiotics were dispensed without requiring a prescription, highlighting potential gaps in antibiotic regulation and oversight</p></td> 
      <td class="acenter" width="9.01%"><p style="text-align:center">(<xref ref-type="bibr" rid="scirp.147445-73">
         Mabilika
        </xref><xref ref-type="bibr" rid="scirp.147445-73">
         et al., 2022
        </xref>)</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="10.59%"><p style="text-align:center">Investigation of AMR in urban receiving and wastewaters</p></td> 
      <td class="acenter" width="9.72%"><p style="text-align:center">Experimental</p></td> 
      <td class="acenter" width="4.42%"><p style="text-align:center">2023</p></td> 
      <td class="acenter" width="10.16%"><p style="text-align:center">Surface water, wastewater</p></td> 
      <td class="acenter" width="21.38%"><p style="text-align:center">E. coli had an 83% higher proportion of multi-drug resistance (MDR) than Klebsiella spp.., which had 68.5%, and no MDR was shown by P. aeruginosa isolates.</p></td> 
      <td class="acenter" width="13.36%"><p style="text-align:center">Tet A, Tet B – 1, Tet D, β-lactamases (bla CTX-M, bla SHV), Sul and Sul 2</p></td> 
      <td class="acenter" width="11.02%"><p style="text-align:center">-</p></td> 
      <td class="acenter" width="10.34%"><p style="text-align:center">Potential transmission of resistant diseases to humans and animals</p></td> 
      <td class="acenter" width="9.01%"><p style="text-align:center">(<xref ref-type="bibr" rid="scirp.147445-107">
         Ripanda
        </xref><xref ref-type="bibr" rid="scirp.147445-107">
         , 2024
        </xref>; <xref ref-type="bibr" rid="scirp.147445-113">
         Ripanda
        </xref><xref ref-type="bibr" rid="scirp.147445-113">
         et al., 2023c
        </xref>)</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="10.59%"><p style="text-align:center">Determination of the performance in addressing AMR in Tanzania and other countries</p></td> 
      <td class="acenter" width="9.72%"><p style="text-align:center">Experimental</p></td> 
      <td class="acenter" width="4.42%"><p style="text-align:center">2023</p></td> 
      <td class="acenter" width="10.16%"><p style="text-align:center">Theoretical study</p></td> 
      <td class="acenter" width="21.38%"><p style="text-align:center">Few well-established laboratories in tertiary hospitals, both private and public hospitals. The animal, environment and agricultural sectors had limited capacity for AMR surveillance</p></td> 
      <td class="acenter" width="13.36%"><p style="text-align:center">-</p></td> 
      <td class="acenter" width="11.02%"><p style="text-align:center">-</p></td> 
      <td class="acenter" width="10.34%"><p style="text-align:center">Possibility of ecosystem injury</p></td> 
      <td class="acenter" width="9.01%"><p style="text-align:center">(<xref ref-type="bibr" rid="scirp.147445-78">
         Matee
        </xref><xref ref-type="bibr" rid="scirp.147445-78">
         et al., 2023
        </xref>)</p></td> 
     </tr> 
     <tr> 
      <td rowspan="2" class="acenter" width="10.59%"><p style="text-align:center">Investigated multidrug-resistant Escherichia coli and Klebsiella pneumoniae in sewage from a referral hospital, tracing their presence through the urban sewage system to the discharge point in the </p><p style="text-align:left">Indian Ocean.</p></td> 
      <td rowspan="2" class="acenter" width="9.72%"><p style="text-align:center">Experimental</p></td> 
      <td rowspan="2" class="acenter" width="4.42%"><p style="text-align:center">2023</p></td> 
      <td rowspan="2" class="acenter" width="10.16%"><p style="text-align:center">Hospital sewage flowing through community sewage system and discharging into the Indian Ocea</p></td> 
      <td class="acenter" width="21.38%"><p style="text-align:center">Multidrug resistance (MDR) was seen in 80.9% (186/230) E. coli and 71.6% (101/141) K. pneumoniae. Of the MDR isolates, 27.2% (78/287) were resistant to four different classes of antibiotics, while 6.9% (20/287) exhibited resistance to eight classes.</p></td> 
      <td rowspan="2" class="acenter" width="13.36%"><p style="text-align:center">-</p></td> 
      <td rowspan="2" class="acenter" width="11.02%"><p style="text-align:center">-</p></td> 
      <td rowspan="2" class="acenter" width="10.34%"><p style="text-align:center">Possibility of ecosystem injury</p></td> 
      <td class="acenter" width="9.01%"><p style="text-align:center">(<xref ref-type="bibr" rid="scirp.147445-120">
         Seguni
        </xref><xref ref-type="bibr" rid="scirp.147445-120">
         et al., 2023
        </xref>)</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="21.38%"><p style="text-align:center">The most frequent MDR pattern was PEN/CEP/TET/QNL/SUL</p></td> 
      <td class="acenter" width="9.01%"><p style="text-align:center">(<xref ref-type="bibr" rid="scirp.147445-120">
         Seguni
        </xref><xref ref-type="bibr" rid="scirp.147445-120">
         et al., 2023
        </xref>)</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="10.59%"><p style="text-align:center">Assessment of awareness and production practices from 420 consumers, 30 chicken egg farmers, and 30 Chinese cabbage</p></td> 
      <td class="acenter" width="9.72%"><p style="text-align:center">A cross-sectional study</p></td> 
      <td class="acenter" width="4.42%"><p style="text-align:center">2022</p></td> 
      <td class="acenter" width="10.16%"><p style="text-align:center">Chicken farm</p></td> 
      <td class="acenter" width="21.38%"><p style="text-align:center">About 42% of consumers of eggs and Chinese cabbages were not aware of the likelihood of antimicrobial residues in these foods. The awareness was significantly influenced by the consumer’s educational level (p = 0.001) and geographical location (p = 0.045), with educated and urban consumers being 7.7 and 1.6 times more informed</p></td> 
      <td class="acenter" width="13.36%"><p style="text-align:center">-</p></td> 
      <td class="acenter" width="11.02%"><p style="text-align:center">-</p></td> 
      <td class="acenter" width="10.34%"><p style="text-align:center">Potential exposure through food chain</p></td> 
      <td class="acenter" width="9.01%"><p style="text-align:center">(<xref ref-type="bibr" rid="scirp.147445-91">
         Mongi et al., 2022
        </xref>)</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="10.59%"><p style="text-align:center">Investigation were carried out to establish farmers’ awareness of diseases, drugs, and withdrawal times.</p></td> 
      <td class="acenter" width="9.72%"><p style="text-align:center">A cross-sectional questionnaire survey and on-field clinical and postmortem diagnoses</p></td> 
      <td class="acenter" width="4.42%"><p style="text-align:center">2021</p></td> 
      <td class="acenter" width="10.16%"><p style="text-align:center">Chicken farm</p></td> 
      <td class="acenter" width="21.38%"><p style="text-align:center">Oxytetracycline in 62 and 43.5%, enrofloxacin in 9 and 19.5%, and tylosin in 5 and 26.5% of local chickens and layer keepers respectively, were the most commonly used drugs. High mortality, mean 94.79 (SE; 86.05–103.53) per flock life span was observed in layers</p></td> 
      <td class="acenter" width="13.36%"><p style="text-align:center">-</p></td> 
      <td class="acenter" width="11.02%"><p style="text-align:center">-</p></td> 
      <td class="acenter" width="10.34%"><p style="text-align:center">The observed higher mortality rate may be due to drug resistant infections</p></td> 
      <td class="acenter" width="9.01%"><p style="text-align:center">(<xref ref-type="bibr" rid="scirp.147445-25">
         Chota et al., 2021
        </xref>)</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="10.59%"><p style="text-align:center">Identification ESBL-producing Escherichia coli in Nile perch and water</p></td> 
      <td class="acenter" width="9.72%"><p style="text-align:center">Experimental</p></td> 
      <td class="acenter" width="4.42%"><p style="text-align:center">2020</p></td> 
      <td class="acenter" width="10.16%"><p style="text-align:center">Nile perch and water (Lake Victoria)</p></td> 
      <td class="acenter" width="21.38%"><p style="text-align:center">The isolates exhibited complete resistance to sulfamethoxazole–trimethoprim and ampicillin/cloxacillin (100%), along with resistance to erythromycin (72.7%, 8/11), tetracycline (90.9%, 10/11), and nalidixic acid (63.6%, 7/11</p></td> 
      <td class="acenter" width="13.36%"><p style="text-align:center">Sulfonamides (sul1 and sul2), trimethoprim (dfrA and dfrB), aminoglycosides (aac(3)-IId, strA, and strB), tetracyclines (tet(B) and tet(D)), and fluoroquinolones (qepA4). IncF, IncX, IncQ, and Col, with blaCTX-M-15 and blaTEM-1B and IncF.</p></td> 
      <td class="acenter" width="11.02%"><p style="text-align:center">-</p></td> 
      <td class="acenter" width="10.34%"><p style="text-align:center">Potential harm to the ecosystems</p></td> 
      <td class="acenter" width="9.01%"><p style="text-align:center">(<xref ref-type="bibr" rid="scirp.147445-14">
         Baniga
        </xref><xref ref-type="bibr" rid="scirp.147445-14">
         et al., 2020
        </xref>)</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="10.59%"><p style="text-align:center">Investigation of emerging pollution in wastewater</p></td> 
      <td class="acenter" width="9.72%"><p style="text-align:center">Experimental</p></td> 
      <td class="acenter" width="4.42%"><p style="text-align:center">2019</p></td> 
      <td class="acenter" width="10.16%"><p style="text-align:center">Wastewater</p></td> 
      <td class="acenter" width="21.38%"><p style="text-align:center">Presence of antibiotics</p><p style="text-align:center"></p></td> 
      <td class="acenter" width="13.36%"><p style="text-align:center">-</p></td> 
      <td class="acenter" width="11.02%"><p style="text-align:center">Metronidazole in the range of 0.065-0.104 ppm</p></td> 
      <td class="acenter" width="10.34%"><p style="text-align:center">Potential for AMR development, dissemination in the environment</p></td> 
      <td class="acenter" width="9.01%"><p style="text-align:center">(<xref ref-type="bibr" rid="scirp.147445-74">
         Makokola
        </xref><xref ref-type="bibr" rid="scirp.147445-74">
         et al., 2019
        </xref>)</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="10.59%"><p style="text-align:center">Investigated the occurrence of CEC in flowing Surface Waters</p></td> 
      <td class="acenter" width="9.72%"><p style="text-align:center">Experimental</p></td> 
      <td class="acenter" width="4.42%"><p style="text-align:center">2018</p></td> 
      <td class="acenter" width="10.16%"><p style="text-align:center">Flowing Surface Waters</p></td> 
      <td class="acenter" width="21.38%"><p style="text-align:center">Presence of pharmaceuticals including antibiotics</p></td> 
      <td class="acenter" width="13.36%"><p style="text-align:center">-</p></td> 
      <td class="acenter" width="11.02%"><p style="text-align:center">Cetirizine (0.0073 ppm), and metronidazole (0.0024 ppm)</p></td> 
      <td class="acenter" width="10.34%"><p style="text-align:center">Potential for exposure of these chemicals and ecosystem injury</p></td> 
      <td class="acenter" width="9.01%"><p style="text-align:center">(<xref ref-type="bibr" rid="scirp.147445-48">
         Hossein et al., 2018
        </xref>)</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="10.59%"><p style="text-align:center">Investigated occurrences of antibiotics in the wastewater effluents</p></td> 
      <td class="acenter" width="9.72%"><p style="text-align:center">Experimental</p></td> 
      <td class="acenter" width="4.42%"><p style="text-align:center">2014</p></td> 
      <td class="acenter" width="10.16%"><p style="text-align:center">Wastewater effluents</p></td> 
      <td class="acenter" width="21.38%"><p style="text-align:center">The presence of antibiotics</p></td> 
      <td class="acenter" width="13.36%"><p style="text-align:center">-</p></td> 
      <td class="acenter" width="11.02%"><p style="text-align:center">Ciprofloxacin, and ampicillin in influents ranging from BDL to 0.367 mg/l) and effluents ranging from BDL to 0.037 mg/L</p></td> 
      <td class="acenter" width="10.34%"><p style="text-align:center">Potential for exposure of these chemicals and ecosystem injury</p></td> 
      <td class="acenter" width="9.01%"><p style="text-align:center">(<xref ref-type="bibr" rid="scirp.147445-60">
         Kihampa, 2014
        </xref>)</p></td> 
     </tr> 
    </table>
   </table-wrap>
  </sec>
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