<?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">AiM</journal-id><journal-title-group><journal-title>Advances in Microbiology</journal-title></journal-title-group><issn pub-type="epub">2165-3402</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/aim.2017.711062</article-id><article-id pub-id-type="publisher-id">AiM-80719</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Assessment of Physicochemical and Bacteriological Quality of Different Surface Water Samples of Tangail District, Bangladesh
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Nasreen</surname><given-names>Jahan</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>Safaiatul</surname><given-names>Islam</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>Fatematuz</surname><given-names>Zuhura Evamoni</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>Md.</surname><given-names>Jakir Hossain</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>Sabiha</surname><given-names>Akter</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Md.</surname><given-names>Ronzu Ahmmed</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>Md.</surname><given-names>Ashraful Islam</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Shahin</surname><given-names>Mahmud</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff4"><addr-line>Department of Statistics, Mawlana Bhashani Science and Technology University, Santosh, Tangail</addr-line></aff><aff id="aff3"><addr-line>Department of Environmental Science and Resource Management, Mawlana Bhashani Science and Technology University, Santosh, Tangail</addr-line></aff><aff id="aff2"><addr-line>Department of Biotechnology and Genetic Engineering, Noakhali Science and Technology University, Sonapur, Bangladesh</addr-line></aff><aff id="aff1"><addr-line>Department of Biotechnology and Genetic Engineering, Mawlana Bhashani Science and Technology University, Santosh, Tangail</addr-line></aff><pub-date pub-type="epub"><day>10</day><month>11</month><year>2017</year></pub-date><volume>07</volume><issue>11</issue><fpage>769</fpage><lpage>789</lpage><history><date date-type="received"><day>20,</day>	<month>October</month>	<year>2017</year></date><date date-type="rev-recd"><day>27,</day>	<month>November</month>	<year>2017</year>	</date><date date-type="accepted"><day>30,</day>	<month>November</month>	<year>2017</year></date></history><permissions><copyright-statement>&#169; 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><p>
 
 
  
    Surface water, a vital element of ecosystem must be hygienic, but unfortunately the pollution of this water is now an alarming problem. The present work deals with the assessment of physicochemical and bacteriological profile of several untreated surface water sources to ensure its suitability for using domestic purposes and drinking along with the impact of bacterial contaminated water on public health and antibiotic resistance pattern of these bacteria. The samples were collected from twenty sampling point (13 ponds, 4 lakes, 2 rivers and one canal) of Tangail District from January 2017 to July 2017. To understand the seasonal variation, water samples were measured in two month; February (dry season) and June (wet season). Most of the water sampling points were polluted by dumping of waste, cattle wash and were not suitable for the drinking or other domestic purposes. Obtained results showed that water of the study area is slightly alkaline, no remarkable variation in the temperature of the water in both seasons and DO of all the sampling station were lower than standard limit during February. The mean concentration (M.C.) of total Coliform were 4 &#215; 10
   <sup>22</sup> cfu/100ml and 4.5 &#215; 10
   <sup>18</sup> cfu/100ml at February and June respectively and all the sampling point were contaminated with fecal coliform. Other pathogenic bacteria, 
   E. coli (M.C: 1.1 &#215; 10
   <sup>11</sup> cfu/100ml at February and M.C: 2.2 &#215; 10
   <sup>7</sup> cfu/100ml at June), 
   Salmonella spp. (M.C: 1.1 &#215; 10
   <sup>5</sup> cfu/100ml at February and M.C: 3.4 &#215; 10
   <sup>5</sup> cfu/100ml at June), 
   Shigella spp. (M.C: 8 &#215; 10
   <sup>4</sup> cfu/100ml at February and M.C: 3.4 &#215; 10
   <sup>7</sup> cfu/100ml at June), 
   Vibrio spp. (M.C: 8.6 &#215; 10
   <sup>5</sup> cfu/100ml at February and M.C: 1.1 &#215; 10
   <sup>8</sup> cfu/100ml at June) were isolated from several of the investigated water sources. The total counts of these pathogenic bacteria exceeded the acceptable limit during both season and also showed resistance against a broad range of commercially available antibiotics. People who were using these water frequently suffering from various water borne diseases. These untreated water sources pose a major threat to the public health and therefore with need for exigent intervention by government. 
  
 
</p></abstract><kwd-group><kwd>pH</kwd><kwd> Dissolved Oxygen</kwd><kwd> Coliform</kwd><kwd> &lt;i&gt;E. coli&lt;/i&gt;</kwd><kwd> &lt;i&gt;Shigella spp.&lt;/i&gt;</kwd><kwd> &lt;i&gt;Salmonella spp.&lt;/i&gt;</kwd><kwd> &lt;i&gt;Vibrio spp.&lt;/i&gt;</kwd><kwd> Antibiotic</kwd><kwd> Tangail</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Water is not only essential for the survival of any form of life, but also vital for the recreational aspects of life [<xref ref-type="bibr" rid="scirp.80719-ref1">1</xref>] . Although water envelope 80% of the earth surface, but only 3% are available for drinking, agriculture, domestic and industrial consumption [<xref ref-type="bibr" rid="scirp.80719-ref2">2</xref>] . This surface water from rivers, lakes, canals and ponds are vital resources of water that are necessary to the subsistence of all living organisms [<xref ref-type="bibr" rid="scirp.80719-ref3">3</xref>] .</p><p>Low lying flat country, Bangladesh is fulfilled high number of upland water bodies including rivers, lakes, haors, baors, beels, ponds, cultivated fields with water inundated and estuarine systems with extensive mangrove swamps [<xref ref-type="bibr" rid="scirp.80719-ref4">4</xref>] . Most of the poverty stricken village people depend on these surface water for their daily purposes activities as they have no any potable water sources in Bangladesh [<xref ref-type="bibr" rid="scirp.80719-ref5">5</xref>] . But nowadays this valuable water resources are ominous, as directly exposure to people’s domestic purposes, pollution from untreated industrial effluents, municipal wastewater, runoff from chemical industry and agricultural fields and oil and lube spillage from different operation, fecal contamination and aquatic pathogenic microorganisms [<xref ref-type="bibr" rid="scirp.80719-ref6">6</xref>] . Physical, chemical and biological properties of water known as water quality which have a direct influence on the types and distribution of aquatic biota [<xref ref-type="bibr" rid="scirp.80719-ref7">7</xref>] . Nowadays, the demotion of water quality due to the multifarious pollution is an alarming problem. Both conventional pollutants such as heavy metals, nitrate, phosphate, pesticides and micro pollutants worsen the water quality of the surface water bodies of the country [<xref ref-type="bibr" rid="scirp.80719-ref8">8</xref>] .</p><p>Pathogenic microorganisms contaminate the water, is now a major global problem. The main causes of bacteria in the aquatic environment are the disposal of human waste and municipal waste water through sewage and drainage ditches systems. Human pathogenic bacteria, particularly members of the coliform can inhabit on fishes and aquatic environment [<xref ref-type="bibr" rid="scirp.80719-ref9">9</xref>] . Feces of warm-blooded animals can harbor fecal coliforms and they are the most commonly used indicators of fecal pollution in water and food. Increased levels of fecal coliforms provide a warning of failure of the water distribution system and possible contamination with other pathogens such as E. coli, shigella spp., salmonella Spp., Cholera etc. [<xref ref-type="bibr" rid="scirp.80719-ref10">10</xref>] . Water become unsafe for human consumption or usage when it contains pathogenic or diseases causing microorganisms. The consumption of unhygienic drinking water and uses of unsafe water for daily purposes lead to the prevalence of diseases like diarrhea, typhoid, cholera and bacillary dysentery among the population [<xref ref-type="bibr" rid="scirp.80719-ref11">11</xref>] .</p><p>Besides, contaminated surface water with pathogenic bacteria, the presence of antibiotic resistant bacteria in these water bodies has become an emerging problem throughout the world [<xref ref-type="bibr" rid="scirp.80719-ref12">12</xref>] . This antibiotic resistance exacerbates the prevalence of waterborne diseases among the people of surrounding of these wetlands [<xref ref-type="bibr" rid="scirp.80719-ref13">13</xref>] . Therefore, the maintenance of good water quality is essential for healthy survival of aquatic organisms and people’s good health those who are exposed to this water. However, there are only a few published data on the microbiological quality of wetland water and antibiotic resistance pattern of these microorganisms in few areas around the country. Our study was commenced to evaluate physicochemical and bacteriological profile of the several water bodies of Tangail districts as well as antibiotic resistance pattern of the bacteria associated with these water bodies.</p></sec><sec id="s2"><title>2. Materials and Methods</title><sec id="s2_1"><title>2.1. Study Area, Time and Sample Collection</title><p>Our study was conducted at twenty selected water bodies including 13 ponds, 4 lakes, 1 canal and 2 rivers which are situated in Tangail sadar upazila, Bangladesh (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p><p>The study was carried out from January to July 2017. Approximately, 300 ml of water samples were collected in 500 ml of plastic bottles and before sample collection, all the plastic bottles were properly cleaned by distilled water. Bottles were immersed below the water surface, filled, brought out of the water and properly closed. Then they were properly labeled (sample no, source, date, time etc.) and samples were carried to the laboratory within the six hours of collection.</p></sec><sec id="s2_2"><title>2.2. Primary Data Collection</title><p>Some primary data related to water contamination (such as-cattle wash, dumping of waste, opening of drains and latrines in water sources, color, odor, appearance of water bodies etc.) were collected with a semi-structured based questionnaire [<xref ref-type="bibr" rid="scirp.80719-ref14">14</xref>] .</p></sec><sec id="s2_3"><title>2.3. Physiochemical Parameters Analysis</title><p>pH was determined by the digital pH meter (Model: pH Scan WP 1, 2; Malaysia). The Dissolved Oxygen (DO) was determined by digital DO meter (Model: D.46974; Taiwan). Temperature was measured by the digital thermometer</p><p>(GF-MT502, China).</p></sec><sec id="s2_4"><title>2.4. Microbial analysis</title><sec id="s2_4_1"><title>2.4.1. Total Coliform Count</title><p>Most probable number (MPN) test was used to detect the presence of coliforms in sample water [<xref ref-type="bibr" rid="scirp.80719-ref15">15</xref>] . In presumptive MPN procedure, 15 lactose broth tubes were inoculated with the water samples. Five tubes received 10 ml of water, 5 tubes received 1 ml of water and 5 tubes received 0.1 ml of water. The number of tubes showing gas production and color change was compared to a standard table developed by American Public Health Association. The number of coliform was the MPN of coliforms per 100 ml of the water sample [<xref ref-type="bibr" rid="scirp.80719-ref16">16</xref>] .</p></sec><sec id="s2_4_2"><title>2.4.2. Detection of Fecal Coliforms</title><p>The positive presumptive cultures were transferred to lactose broth, which is specific for fecal coliform bacteria. Any presumptive tube which showed gas production after 24 (&#177;2) hours incubation at 44.5˚C (&#177;0.2˚C), confirmed the presence of fecal coliform bacteria in that tube and was recorded as positive [<xref ref-type="bibr" rid="scirp.80719-ref17">17</xref>] .</p></sec><sec id="s2_4_3"><title>2.4.3. Isolation of Pathogenic Bacteria</title><p>To isolate specific pathogenic bacteria, the samples were enriched separately with alkaline peptone water (APW) for plating in thiosulfate citrate bile salts sucrose agar (TCBS) media, with GN (Gram-Negative) Broth for plating in Salmonella Shigella Agar (SS) agar, with Enterobacteria Enrichment Broth-Mossel for plating in MacConkey media. 1 ml of water from each sample was added with 3 ml of respective enrichment media. All the samples were then incubated at 37˚C for 24 hours. After overnight enrichment, the samples were plated in MacConkey, TCBS and SS agar plate separately. All the plates were incubated at 37˚C for 24 hours. After overnight incubation, the plates were observed for selective pathogens. For the confirmation of Escherichia coli, red/pink colonies form MacConkey agar plates were plated in eosin methylene blue agar (EMB) plates and for the confirmation of Vibrio cholerae and Vibrio parahaemolyticus, standard biochemical tests were performed from the yellow and green colonies in TCBS media respectively. Lactose fermenting (LF) and Non-LF bacteria were determined by differential media (MacConkey medium) to differentiate lactose fermenters (pink/yellow) colonies &amp; non lactose fermenter colonies (colorless). Lastly, conformation of Shigella spp., Salmonella spp. and their serotype was determined with the antisera (polyvalent) developed by Denka Seiken, Japan [<xref ref-type="bibr" rid="scirp.80719-ref18">18</xref>] [<xref ref-type="bibr" rid="scirp.80719-ref19">19</xref>] .</p></sec><sec id="s2_4_4"><title>2.4.4. Antibiotic Sensitivity Test</title><p>Antibiotic susceptibility test was performed by disk diffusion method using the commercially available antibiotic disk on Mullar-Hinton agar to assess the susceptibility and resistance pattern of the isolates [<xref ref-type="bibr" rid="scirp.80719-ref20">20</xref>] . For this purpose, 12 different antibiotic discs were obtained from commercial sources (Himedia, India and Oxoid Ltd. England).</p></sec></sec><sec id="s2_5"><title>2.5. Evaluation of Environmental Human Health Impact</title><p>A field investigation and random questionnaire based survey of 400 respondents (20 person from each sampling site) of the study area was conducted to determine the health status of people who used these water for bathing, Oju and other daily purposes.</p></sec><sec id="s2_6"><title>2.6. Statistical Analysis</title><p>MS Excel 2010 and SPSS 20 software were used for calculating average and presentation of graphs. The relation among these parameters was determined by the Karl Pearson’s co-relation coefficient and coefficient of co-relation (r). The one-way analysis of variance (ANOVA) was used to determine whether there are any statistically significant differences among parameters.</p></sec></sec><sec id="s3"><title>3. Result and Discussion</title><sec id="s3_1"><title>3.1. Physiochemical Parameters Analysis</title><sec id="s3_1_1"><title>3.1.1. Cattle Washing in the Sample Water Sources</title><p>Cattle washing on public wetlands degrades water quality and sanctions concern microbial contaminants include fecal coliform and E. coli which are threatening to human and ecological health [<xref ref-type="bibr" rid="scirp.80719-ref21">21</xref>] . In our study, it was found that most of the water sample sources are not usually used for washing of cattle. Among twenty sample sources, one pond, two lakes and both rivers under study area were used for cattle washing activity by the people around it (<xref ref-type="table" rid="table1">Table 1</xref>).</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Sources of the collected water samples with location</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Water sample</th><th align="center" valign="middle"  rowspan="2"  >Source name and Location</th><th align="center" valign="middle"  rowspan="2"  >Cattle wash</th><th align="center" valign="middle"  rowspan="2"  >Dumping of waste</th><th align="center" valign="middle"  rowspan="2"  >Water type</th><th align="center" valign="middle"  rowspan="2"  >Color of water</th><th align="center" valign="middle"  colspan="4"  >Used for</th></tr></thead><tr><td align="center" valign="middle" >Drinking after normal filtration</td><td align="center" valign="middle" >Cooking</td><td align="center" valign="middle" >Bath</td><td align="center" valign="middle" >Oju</td></tr><tr><td align="center" valign="middle" >Pond-01</td><td align="center" valign="middle" >Pir Shahjaman Dhighi, MBSTU campus</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >Deep Green</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >Yes</td></tr><tr><td align="center" valign="middle" >Pond-02</td><td align="center" valign="middle" >Rani Dinomoni dhighi, MBSTU campus</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >Light Green</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >Yes</td></tr><tr><td align="center" valign="middle" >Pond-03</td><td align="center" valign="middle" >Academic building pond, MBSTU campus</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >Light Green</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >Yes</td></tr><tr><td align="center" valign="middle" >Pond-04</td><td align="center" valign="middle" >Govt. girls high school pond, MBSTU campus</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >Light Green</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >Yes</td></tr><tr><td align="center" valign="middle" >Pond-05</td><td align="center" valign="middle" >Trustee Board pond, MBSTU campus</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >Light Green</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >Yes</td></tr><tr><td align="center" valign="middle" >Pond-06</td><td align="center" valign="middle" >Rani pond, MBSTU campus</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >Deep Green</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >Yes</td></tr><tr><td align="center" valign="middle" >Pond-07</td><td align="center" valign="middle" >Bokkhobadhi pond, Santosh, Tangail</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >Polluted</td><td align="center" valign="middle" >Gray</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >No</td></tr><tr><td align="center" valign="middle" >Pond-08</td><td align="center" valign="middle" >Santosh bazaar pond, Santosh, Tangail</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >Polluted</td><td align="center" valign="middle" >Turbid</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >No</td></tr><tr><td align="center" valign="middle" >Pond-09</td><td align="center" valign="middle" >Poraton para pond, Santosh, Tangail</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >Polluted</td><td align="center" valign="middle" >Brown</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >No</td></tr><tr><td align="center" valign="middle" >Pond-10</td><td align="center" valign="middle" >Zhannobi school pond, Santosh, Tangail</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >Light Green</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >Yes</td></tr><tr><td align="center" valign="middle" >Pond-11</td><td align="center" valign="middle" >Thanapara pond, Thanapara, Tangail</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >Polluted</td><td align="center" valign="middle" >Turbid</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >No</td></tr><tr><td align="center" valign="middle" >Pond-12</td><td align="center" valign="middle" >Sadar hospital pond, Tangail</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >Polluted</td><td align="center" valign="middle" >Turbid</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >No</td></tr><tr><td align="center" valign="middle" >Pond-13</td><td align="center" valign="middle" >Polytechnics pond, Tangail polytechnic Ins.</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >Brown</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >Yes</td></tr><tr><td align="center" valign="middle" >Lake-14</td><td align="center" valign="middle" >District Lake (north), District area, Tangail</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >Deep Green</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >Yes</td></tr><tr><td align="center" valign="middle" >Lake-15</td><td align="center" valign="middle" >District Lake (south), District area, Tangail</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >Polluted</td><td align="center" valign="middle" >Gray</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >No</td></tr><tr><td align="center" valign="middle" >Lake-16</td><td align="center" valign="middle" >Lake infront of Tangail polytechnical Inst.</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >Polluted</td><td align="center" valign="middle" >Turbid</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >No</td></tr><tr><td align="center" valign="middle" >Lake-17</td><td align="center" valign="middle" >DC lake, New bus stand, Tangail</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >Light Green</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >No</td></tr><tr><td align="center" valign="middle" >Canal-18</td><td align="center" valign="middle" >Gazibari canal, Santosh, Tangail</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >Polluted</td><td align="center" valign="middle" >Light Green</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >No</td></tr><tr><td align="center" valign="middle" >River-19</td><td align="center" valign="middle" >Dholesshori river, Charabari, Tangail</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >Polluted</td><td align="center" valign="middle" >Gray</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >Yes</td></tr><tr><td align="center" valign="middle" >River-20</td><td align="center" valign="middle" >Lowhojong river, babystand, Tangail</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >Polluted</td><td align="center" valign="middle" >Turbid</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >No</td></tr></tbody></table></table-wrap></sec><sec id="s3_1_2"><title>3.1.2. Dumping of Waste into the Sample Water Sources</title><p>At present, the majority number of water reservoirs in Bangladesh are unsafe for human due to dumping of domestic, untreated industrial and municipal wastes [<xref ref-type="bibr" rid="scirp.80719-ref22">22</xref>] . Most of our study areas were being used as a dumping point of waste. In this study, 55% (11 out of 20) of the sampling point was polluted by directly dumping of waste (<xref ref-type="table" rid="table1">Table 1</xref>).</p></sec><sec id="s3_1_3"><title>3.1.3. Color of Water</title><p>The color of water is the important premier indicators of water quality which indicates its suitability for human, fishes or others inhabitants of water. Water should be clear and colorless for acceptance to the general public. Discoloration in water can be attributed to the presence of iron or magnesium or to the presence of humus, peat molecules, plankton and the pH level of the water. The WHO has established the color levels below 15 true color unit (TCU) are acceptable for most consumers and the color above 15 TCU are detected by naked eye [<xref ref-type="bibr" rid="scirp.80719-ref23">23</xref>] . The color of the investigated water sources was observed visually. Out of twenty sampling stations, three sampling point were deep green in color, seven points were light green in color, three point were gray in color, four point were turbid and other three water bodies were brown in color (<xref ref-type="table" rid="table1">Table 1</xref>). Water rich in phytoplankton and other algae usually appears green, soil runoff produces gray colors, dissolved organic matter, such as humus, peat or decaying plant matter can produce brown color and presence of much clay and unnecessary inorganic substances in water causes turbid color [<xref ref-type="bibr" rid="scirp.80719-ref24">24</xref>] .</p></sec><sec id="s3_1_4"><title>3.1.4. Usage of Sample Water Sources</title><p>The most people of rural village of Bangladesh use wetland water for their daily purposes (washing, cooking, bathing etc.) due to unavailable of safe water sources [<xref ref-type="bibr" rid="scirp.80719-ref4">4</xref>] . In our study, sample water of study area neither used for the drinking nor cooking purposes due to presence of available safe water sources. Most cases, these waters were used to take bath and Oju (for holiness of prayer) by the people living around it. But water of pond-8, pond-12, Lake-16 and Canal-18 even were not suitable for bathing and Oju too (<xref ref-type="table" rid="table1">Table 1</xref>).</p></sec><sec id="s3_1_5"><title>3.1.5. Odor of the Water Samples</title><p>Pure water (distilled) is odorless. The odor of the water indirectly indicates the severity of the pollution of water and the presence of toxic substances in it. The odor of the investigated sampling water was smelt by nose. About 85% of the sampling water had normal odor and 15% had bad odor during the June while 50% of the study point had bad odor during the February (<xref ref-type="fig" rid="fig2">Figure 2</xref>). Bad odor also results from discharging of domestic and industrial waste from the surrounding area and bacterial growth on water [<xref ref-type="bibr" rid="scirp.80719-ref25">25</xref>] .</p></sec><sec id="s3_1_6"><title>3.1.6. pH of the Water</title><p>pH is the vital factor of water which ensures the optimum environment for aquatic inhabitants. In our study, average pH values of the most of samples were more</p><p>than 7 which is slightly alkaline. This might be due to inorganic sediments or domestic and agricultural wastes disposed in it. The pH values of samples ranged from 7.12 - 8.51 (<xref ref-type="fig" rid="fig3">Figure 3</xref>). pH range (7.5 - 8.4) is good for the growth of algae and range (6.0 - 7.2) is optimum for laying fish [<xref ref-type="bibr" rid="scirp.80719-ref26">26</xref>] . As per STOAS, pH values 4 or less and 12 or high cause death to most of the fish species, 6 to 8 is the range for good growth and reproduction, and pH as low as 5 or as high as 9 to 11 do not allow fishes to reproduce as well as cause slow growth [<xref ref-type="bibr" rid="scirp.80719-ref27">27</xref>] . The observed values reflect its suitability for aquatic life.</p></sec><sec id="s3_1_7"><title>3.1.7. Dissolved Oxygen (DO)</title><p>Dissolved oxygen is essential for aquatic creature for respiration. Insufficient and imbalance DO may lead to cause of sudden death of these creature. In this study, values of DO at different sampling points were ranged from 2.8 to 6.1 mg/l. The highest DO value 6.1 mg/l was observed at two stations (pond-13 and lake-14) during June and the lowest DO 2.8 mg/l was also observed at pond-12 during February, which is not suitable for aquatic organisms (<xref ref-type="fig" rid="fig4">Figure 4</xref>). DO content should be above 6.0 mg/l for drinking water and more than 5.0 mg/l is suggested for fisheries, recreation and irrigation [<xref ref-type="bibr" rid="scirp.80719-ref28">28</xref>] . Except lake-14, all the sampling station had DO lower than 5 mg/l. during the February. Study showed that DO of the sampling station was not suitable for fish production during the</p><p>month of February.</p></sec><sec id="s3_1_8"><title>3.1.8. Temperature</title><p>According to the DoE standard, the ideal temperature of water for aquatic life is 20˚C to 30˚C [<xref ref-type="bibr" rid="scirp.80719-ref29">29</xref>] . The study showed that the range of temperature of all collected samples were (19.4˚C - 21.5˚C) during February and (27.7˚C - 29.8˚C) during June (<xref ref-type="fig" rid="fig5">Figure 5</xref>). The temperature range of June month fall within the DoE standard, but the temperature range of February month beneath the DoE standard. This is might be happened due to turbidity that prevent sunlight penetration, photo period which is directly related to the temperature, seasonality and flow rate.</p></sec></sec><sec id="s3_2"><title>3.2. Opening of the Drain into the Water Bodies</title><p>Most of the water bodies of the study area were polluted by effusion of drainage pollutants which carried different types of untreated wastes [<xref ref-type="bibr" rid="scirp.80719-ref30">30</xref>] . Drains were opened into 65% (13 out of 20) of the water body. Only 35% of the water bodies were not polluted by drainage waste (<xref ref-type="fig" rid="fig6">Figure 6</xref>).</p></sec><sec id="s3_3"><title>3.3. Direct Fecal Contamination through Open Latrine System</title><p>Fecal contamination of surface water is a common phenomenon in Bangladesh. It occurs due to unsanitary or open latrine systems on the side of wetlands and that causes high rate of chronic, food and water borne diseases [<xref ref-type="bibr" rid="scirp.80719-ref31">31</xref>] . In our study, about 45% of the water bodies were fecal contaminated and 55% of water bodies were not contaminated with faeces (<xref ref-type="fig" rid="fig7">Figure 7</xref>). All the lakes, canals and rivers of the study area were fecal contaminated. All the ponds except pond-8, 9 were free from fecal contamination.</p></sec><sec id="s3_4"><title>3.4. Bacteriological Analysis</title><sec id="s3_4_1"><title>3.4.1. Total Coliform Count</title><p>Present study showed that all of the water samples contained a variety of bacteria. Total coliforms which are used to evaluate the general quality of water, exceeded the WHO recommended acceptable limit in all of our study sample [<xref ref-type="bibr" rid="scirp.80719-ref32">32</xref>] . The range of total coliforms in all of collected samples was varied from 1.9 &#215; 10<sup>5</sup> cfu/100ml to 6.3 &#215; 10<sup>23</sup> cfu/100ml. The recorded mean concentration of total coliform was 4.5 &#215; 10<sup>18</sup> cfu/100ml during June and mean concentration was 4 &#215; 10<sup>22</sup> cfu/100ml during February (<xref ref-type="fig" rid="fig8">Figure 8</xref>). The coliform counts at several points of the Buriganga river water was varied from 1.1 &#215; 10<sup>3</sup> to 2.4 &#215; 10<sup>3</sup> cfu/100ml [<xref ref-type="bibr" rid="scirp.80719-ref33">33</xref>] . The maximum mean concentration of total coliform was 13.81</p><p>&#215; 10<sup>23</sup>cfu/100ml during May and minimum mean concentration of total coliform was 12.7 &#215; 10<sup>8</sup>cfu/100ml during April in Dhaleshwari River, Tangail [<xref ref-type="bibr" rid="scirp.80719-ref19">19</xref>] . The underlying causes of maximum load of bacteria in February were unhygienic conditions besides the water bodies, less amount of water present and the less rainfall. On the other hand there were sufficient amount of water present due to heavy rainfall, increase the amount of water that reduce the concentration of bacteria during the June.</p></sec><sec id="s3_4_2"><title>3.4.2. Fecal Coliform</title><p>In our study, all of our samples were fecal coliform positive. Total coliform is a large collection of bacteria. Fecal coliform are types of total coliforms that exist in faeces. Fecal coliform bacteria are unlikely to cause illness, however their presence in drinking water may indicate the presence of disease-causing organisms [<xref ref-type="bibr" rid="scirp.80719-ref34">34</xref>] .</p></sec><sec id="s3_4_3"><title>3.4.3. Escherichia coli Count</title><p>The count of E. coli in our collected samples exceeded the EPA’s recommended limit of E. coli [<xref ref-type="bibr" rid="scirp.80719-ref34">34</xref>] . E. coli is a subgroup of fecal coliform. The presence of E. coli in a drinking water sample usually indicates recent fecal contamination and means there is a greater risk that pathogens are present [<xref ref-type="bibr" rid="scirp.80719-ref35">35</xref>] . The range of E. coli in all of our collected samples was from 1.2 &#215; 10<sup>3</sup> cfu/100ml to 2.1 &#215; 10<sup>12</sup> cfu/100ml. The recorded mean concentration of E. coli was 2.2 &#215; 10<sup>7</sup> cfu/100ml during February and mean concentration was 1.05 &#215; 10<sup>11</sup> cfu/100ml during June (<xref ref-type="fig" rid="fig9">Figure 9</xref>). During June, monsoon rainwater runoff contaminated wetlands which causes the higher E. coli load in water.</p></sec><sec id="s3_4_4"><title>3.4.4. Salmonella spp. Count</title><p>Typhoid fever is a severe systemic infection which is triggered by the ingestion of the bacteria Salmonella typhi and Salmonella paratyphi. Transmission of this disease is linked to contaminated food and water or via contact with fecal matter from acute or chronically infected individuals [<xref ref-type="bibr" rid="scirp.80719-ref36">36</xref>] . Among 20 water bodies, only 5 were contaminated with Salmonella spp. in February (mean concentration</p><p>1.1 &#215; 10<sup>5</sup>cfu/100ml) and 7 water bodies were contaminated in June (mean concentration 3.4 &#215; 10<sup>5</sup> cfu/100ml) (<xref ref-type="fig" rid="fig1">Figure 1</xref>0). Among that contaminated water bodies, about 58% were contaminated with Salmonella typhi and 42% were contaminated with Salmonella paratyphi (<xref ref-type="fig" rid="fig1">Figure 1</xref>1). Salmonella count in water showed peak during June and the prevalence of Salmonella typhi is higher than Salmonella paratyphi in Bangladesh [<xref ref-type="bibr" rid="scirp.80719-ref37">37</xref>] .</p></sec><sec id="s3_4_5"><title>3.4.5. Vibrio spp. Count</title><p>Vibrio cholerae caused cholera which is a major public health problem in developing countries like Bangladesh. Vibrio cholera is a waterborne pathogen and transmission of this bacteria is occurred through mainly contaminated aquatic sources or the faeces of an infected person [<xref ref-type="bibr" rid="scirp.80719-ref38">38</xref>] . Among 20 water bodies, only 8 were contaminated by Vibrio spp. in February (mean concentration 8.6 &#215; 10<sup>5</sup>cfu/100ml) and 11 water bodies were contaminated in June (mean concentration 1.1 &#215; 10<sup>8</sup> cfu/100ml) (<xref ref-type="fig" rid="fig1">Figure 1</xref>2). The ingestion of approximately 10<sup>4</sup> - 10<sup>6</sup> Vibrio cholerae organisms is likely to produce clinical cholera [<xref ref-type="bibr" rid="scirp.80719-ref39">39</xref>] . The load of Vibrio cholerae in our sample during both February and June are able to cause cholera outbreak. Among that contaminated water bodies, about 87% were contaminated by Vibrio cholerae and 13% were contaminated by Vibrio parahaemolytics (<xref ref-type="fig" rid="fig1">Figure 1</xref>3). In Bangladesh, the outbreaks of cholera is mainly caused by Vibrio cholerae O139 and Vibrio cholerae o1 replaces the other with time in an endemic area or during a prolonged outbreak [<xref ref-type="bibr" rid="scirp.80719-ref40">40</xref>] .</p></sec><sec id="s3_4_6"><title>3.4.6. Shigella spp. Count</title><p>Shigella spp. causes bacillary dysentery that can be transmitted by contaminated food and water. Research has shown a number of large waterborne outbreaks of shigellosis over the past years [<xref ref-type="bibr" rid="scirp.80719-ref41">41</xref>] . Among 20 water bodies, only 6 were contaminated with Shigella spp. in February (mean concentration 8 &#215; 10<sup>4</sup>cfu/100ml) and 9 water bodies were contaminated in June (mean concentration 3.7 &#215; 10<sup>7</sup> cfu/100ml) (<xref ref-type="fig" rid="fig1">Figure 1</xref>4). The load of Shigella spp. in study samples are enough to</p><p>cause shigellosis [<xref ref-type="bibr" rid="scirp.80719-ref42">42</xref>] . Among different serotypes of Shigella spp., Shigella dysenteriae were the dominating one. Among that contaminated water bodies, about 37% were contaminated by Shigella dysenteriae, 25% were contaminated by Shigella flexneri, 21% by Shigella sonnei and 17% by Shigella boydii (<xref ref-type="fig" rid="fig1">Figure 1</xref>5). In Bangladesh two predominant Shigella spp., Shigella flexneri was isolated most frequently during August - January and Shigella dysenteriae during June to July [<xref ref-type="bibr" rid="scirp.80719-ref43">43</xref>] .</p></sec></sec><sec id="s3_5"><title>3.5. Correlation Matrix among Bacteriological and Physiochemical Parameters of Different Sampling Stations</title><p>Karl Pearson’s correlation coefficient along with their significant test was used to correlate among parameters to build up a matrix. This study showed that cattle wash and dumping of waste directly pollute the water and change the color and odor of the water. Opening of the drain into water sources and direct fecal contamination through opening of latrine indirectly polluted the water (<xref ref-type="table" rid="table2">Table 2</xref>). Total coliform count was positively correlated with pH (r = 0.385; p &lt; 0.01) and temperature (r = 0.259; p &lt; 0.05) and negatively correlated with DO. Otherwise, total E. coli. count was positively correlated with DO (r = 0.441; p &lt; 0.01). Salmonella</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Correlation Analysis (Physical conditions of the ponds and waters)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Parameters</th><th align="center" valign="middle" >Odor of water</th><th align="center" valign="middle" >Cattle wash</th><th align="center" valign="middle" >Dumping of waste</th><th align="center" valign="middle" >Water type</th><th align="center" valign="middle" >Color of water</th><th align="center" valign="middle" >Opening of the drain into the pond</th><th align="center" valign="middle" >Direct fecal contamination through opening of latrine</th></tr></thead><tr><td align="center" valign="middle" >Odor of water</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Cattle wash</td><td align="center" valign="middle" >0.437</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Dumping of waste</td><td align="center" valign="middle" >0.810**</td><td align="center" valign="middle" >0.522*</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Water type</td><td align="center" valign="middle" >0.895**</td><td align="center" valign="middle" >0.577**</td><td align="center" valign="middle" >0.905**</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Color of water</td><td align="center" valign="middle" >0.639**</td><td align="center" valign="middle" >0.37</td><td align="center" valign="middle" >0.499*</td><td align="center" valign="middle" >0.641**</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Opening of the drain into the pond</td><td align="center" valign="middle" >−0.512*</td><td align="center" valign="middle" >−0.424</td><td align="center" valign="middle" >−0.601**</td><td align="center" valign="middle" >−0.524*</td><td align="center" valign="middle" >−0.134</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Direct fecal contamination</td><td align="center" valign="middle" >−0.436</td><td align="center" valign="middle" >−0.638**</td><td align="center" valign="middle" >−0.616**</td><td align="center" valign="middle" >−0.503*</td><td align="center" valign="middle" >−0.225</td><td align="center" valign="middle" >0.664**</td><td align="center" valign="middle" >1</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Correlation Analysis (Internal conditions)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Parameters</th><th align="center" valign="middle" >pH</th><th align="center" valign="middle" >DO</th><th align="center" valign="middle" >Temperature</th><th align="center" valign="middle" >Total coliform count</th><th align="center" valign="middle" >Total E. coli count</th><th align="center" valign="middle" >Salmonella spp.</th><th align="center" valign="middle" >Vibrio spp.</th><th align="center" valign="middle" >Shigella spp.</th></tr></thead><tr><td align="center" valign="middle" >pH</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >DO</td><td align="center" valign="middle" >−0.375*</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Temperature</td><td align="center" valign="middle" >−0.200**</td><td align="center" valign="middle" >−0.249</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Total coliform count</td><td align="center" valign="middle" >0.385**</td><td align="center" valign="middle" >−0.234</td><td align="center" valign="middle" >0.259*</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Total E. coli count</td><td align="center" valign="middle" >0.127*</td><td align="center" valign="middle" >0.441**</td><td align="center" valign="middle" >−0.262</td><td align="center" valign="middle" >−0.068</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Salmonella spp.</td><td align="center" valign="middle" >0.319</td><td align="center" valign="middle" >−0.171*</td><td align="center" valign="middle" >−0.427</td><td align="center" valign="middle" >−0.190</td><td align="center" valign="middle" >−0.045</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Vibrio spp.</td><td align="center" valign="middle" >−0.099</td><td align="center" valign="middle" >0.038**</td><td align="center" valign="middle" >0.413*</td><td align="center" valign="middle" >−0.143</td><td align="center" valign="middle" >0.451**</td><td align="center" valign="middle" >−0.325</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Shigella spp.</td><td align="center" valign="middle" >0.263**</td><td align="center" valign="middle" >0.290</td><td align="center" valign="middle" >−0.292*</td><td align="center" valign="middle" >−0.107</td><td align="center" valign="middle" >−0.182</td><td align="center" valign="middle" >−0.068</td><td align="center" valign="middle" >−0.272</td><td align="center" valign="middle" >1</td></tr></tbody></table></table-wrap><p>spp. showed negative correlation with DO and temperature; and positive correlation with pH. Vibrio spp. was significantly correlated with DO (r = 0.038; p &lt; 0.01) and E. coli count (r = 0.451; p &lt; 0.01). Shigella spp. showed positive correlation with DO and pH; and negative correlation with temperature. Environmental parameters such as temperature, pH and dissolved oxygen play a vital role in various bacterial count in water (<xref ref-type="table" rid="table3">Table 3</xref>) [<xref ref-type="bibr" rid="scirp.80719-ref44">44</xref>] . The decrease trend (r = −0.707; p &lt; 0.05) in total coliform bacteria with the increase of DO and increase trend with the increase of temperature (r = 0.755; p &lt; 0.05) [<xref ref-type="bibr" rid="scirp.80719-ref19">19</xref>] which is similar to our study result. One-way ANOVA study was conducted to know the mean differences of the quantity of parameters among different times of sampling (<xref ref-type="table" rid="table4">Table 4</xref>). The result revealed that the p-value is 0.00 (&lt;0.05) for the parameters of pH, DO and Temperature, which implies that the quantity of these parameters significantly differ at different times of taking the samples. The result also represented that the p-values are greater than 0.05 for the parameters of total coliform count, total E. coli count, Salmonella spp., Vibrio spp. and Shigella spp., which implies that the quantity of these parameters remain the same for all the time of taking the samples.</p></sec><sec id="s3_6"><title>3.6. Prevalence of Waterborne Diseases at the Study Area</title><p>Waterborne diseases are the major burden in the study area. Most of these water</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Multiple comparison among parameters</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Parameters</th><th align="center" valign="middle" >Source of Variation</th><th align="center" valign="middle" >SS</th><th align="center" valign="middle" >df</th><th align="center" valign="middle" >MS</th><th align="center" valign="middle" >F</th><th align="center" valign="middle" >P-value</th></tr></thead><tr><td align="center" valign="middle"  rowspan="2"  >P<sup>H</sup></td><td align="center" valign="middle" >Between Groups</td><td align="center" valign="middle" >5.70025</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >2.850125</td><td align="center" valign="middle" >87.35851</td><td align="center" valign="middle" >0.00</td></tr><tr><td align="center" valign="middle" >Within Groups</td><td align="center" valign="middle" >1.85966</td><td align="center" valign="middle" >57</td><td align="center" valign="middle" >0.032626</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  rowspan="2"  >DO</td><td align="center" valign="middle" >Between Groups</td><td align="center" valign="middle" >15.129</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >7.5645</td><td align="center" valign="middle" >18.23773</td><td align="center" valign="middle" >0.00</td></tr><tr><td align="center" valign="middle" >Within Groups</td><td align="center" valign="middle" >23.642</td><td align="center" valign="middle" >57</td><td align="center" valign="middle" >0.414772</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Temperature</td><td align="center" valign="middle" >Between Groups</td><td align="center" valign="middle" >721.6503</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >360.8251</td><td align="center" valign="middle" >970.4234</td><td align="center" valign="middle" >0.00</td></tr><tr><td align="center" valign="middle" >Within Groups</td><td align="center" valign="middle" >21.19388</td><td align="center" valign="middle" >57</td><td align="center" valign="middle" >0.371822</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Total Coliform count</td><td align="center" valign="middle" >Between Groups</td><td align="center" valign="middle" >1.64E+46</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >8.22E+45</td><td align="center" valign="middle" >0.985578</td><td align="center" valign="middle" >0.38</td></tr><tr><td align="center" valign="middle" >Within Groups</td><td align="center" valign="middle" >4.75E+47</td><td align="center" valign="middle" >57</td><td align="center" valign="middle" >8.34E+45</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Total E. coli count</td><td align="center" valign="middle" >Between Groups</td><td align="center" valign="middle" >1.1E+23</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >5.52E+22</td><td align="center" valign="middle" >0.6004</td><td align="center" valign="middle" >0.55</td></tr><tr><td align="center" valign="middle" >Within Groups</td><td align="center" valign="middle" >5.24E+24</td><td align="center" valign="middle" >57</td><td align="center" valign="middle" >9.19E+22</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Salmonella spp.</td><td align="center" valign="middle" >Between Groups</td><td align="center" valign="middle" >1.59E+11</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >7.97E+10</td><td align="center" valign="middle" >0.736115</td><td align="center" valign="middle" >0.49</td></tr><tr><td align="center" valign="middle" >Within Groups</td><td align="center" valign="middle" >1.73E+12</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >1.08E+11</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Vibrio spp.</td><td align="center" valign="middle" >Between Groups</td><td align="center" valign="middle" >5.37E+16</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >2.68E+16</td><td align="center" valign="middle" >1.30015</td><td align="center" valign="middle" >0.29</td></tr><tr><td align="center" valign="middle" >Within Groups</td><td align="center" valign="middle" >5.99E+17</td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >2.06E+16</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Shigella spp.</td><td align="center" valign="middle" >Between Groups</td><td align="center" valign="middle" >5E+15</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >2.5E+15</td><td align="center" valign="middle" >0.736673</td><td align="center" valign="middle" >0.49</td></tr><tr><td align="center" valign="middle" >Within Groups</td><td align="center" valign="middle" >7.13E+16</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >3.39E+15</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Impact of waterborne diseases on public health</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Diseases</th><th align="center" valign="middle" >Clear concept about reasons and treatment</th><th align="center" valign="middle" >Suffering from a long time</th><th align="center" valign="middle" >Number of respondents frequently</th><th align="center" valign="middle" >Affected within last 3 months</th><th align="center" valign="middle" >Took antibiotic dosages</th><th align="center" valign="middle" >Efficiency of antibiotic dosage (%)</th></tr></thead><tr><td align="center" valign="middle" >Diarrhea</td><td align="center" valign="middle" >290</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >30.8</td></tr><tr><td align="center" valign="middle" >Dysentery</td><td align="center" valign="middle" >211</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >26.3</td></tr><tr><td align="center" valign="middle" >Cholera</td><td align="center" valign="middle" >76</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >40</td></tr><tr><td align="center" valign="middle" >Typhoid</td><td align="center" valign="middle" >145</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >47.2</td></tr><tr><td align="center" valign="middle" >Hepatitis</td><td align="center" valign="middle" >232</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >66.6</td></tr><tr><td align="center" valign="middle" >Botulism</td><td align="center" valign="middle" >37</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Scabies</td><td align="center" valign="middle" >145</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >100</td></tr><tr><td align="center" valign="middle" >Skin diseases</td><td align="center" valign="middle" >229</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >50</td></tr><tr><td align="center" valign="middle" >Skin cancer</td><td align="center" valign="middle" >172</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Dad</td><td align="center" valign="middle" >257</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >100</td></tr><tr><td align="center" valign="middle" >Itching</td><td align="center" valign="middle" >315</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >26</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >35</td></tr></tbody></table></table-wrap><p>borne diseases are attributed to the contaminated water that contains various infectious pathogens. Further, few people have been found in the study area who use proper water purification systems are free from these waterborne diseases.</p><p>To investigate the impact of contaminated water source on surroundings public health, we took 20 persons from each sampling site and total respondents were 400 people (<xref ref-type="table" rid="table5">Table 5</xref>). Most of the people had clear concept about these waterborne diseases. Very little number of people were suffering from those diseases from long time. Some people were affected with these waterborne diseases within last three months and took antibiotic dosage for treatment. But the efficiency of these antibiotics were not satisfactory and which also indicates the occurrence of antibiotic resistance.</p></sec><sec id="s3_7"><title>3.7. Antibiotic Resistance Pattern of Waterborne Pathogen</title><p>In antibiogram study, most of the available waterborne pathogens in Bangladesh were found to be antibiotic resistance. Almost all waterborne bacteria in our study, were mostly resistance to Penicillin. Shigella spp. was highly resistance to Ampicillin (86%) and highly sensitive to Ciprofloxacin (66%) (<xref ref-type="fig" rid="fig1">Figure 1</xref>6). Salmonella spp. was highly resistance to Amoxicillin (66%) and highly sensitive to Gentamicin (53%) (<xref ref-type="fig" rid="fig1">Figure 1</xref>7). Vibrio spp. was highly resistance to Ampicillin (93%) and highly sensitive to Gentamicin (40%) (<xref ref-type="fig" rid="fig1">Figure 1</xref>8). E. coli was highly resistance to Erythromycin (53%), Ampicillin (53%) and highly sensitive to Gentamicin (80%), Ciprofloxacin (80%) (<xref ref-type="fig" rid="fig1">Figure 1</xref>9). In Bangladesh, problem with waterborne diseases and dissemination of antibiotic resistance bacteria through surface water exacerbates the situation [<xref ref-type="bibr" rid="scirp.80719-ref45">45</xref>] .</p></sec></sec><sec id="s4"><title>4. Conclusion</title><p>Surface water is vital for the daily activities of life which is polluted by household, municipal, industrial and agricultural wastes. The quality of surface water may impact on the incidence of various water-borne infectious diseases. The present study revealed that the physiochemical and bacterial quality of the water sources were out of the acceptable limit of WHO and hazardous for drinking, domestic purposes and fish culture due to fecal pollution. Low dissolved oxygen and higher pH values indicate that organic and chemical wastes polluted surface water bodies. Microbial colonization was low in February and increased in June due to rainfall. The antibiotic resistant bacteria in surface water resources poses</p><p>a serious public health treat and the source of resistant bacteria and responsible genes for resistance should be explored. From this study it can be recommended that the government authorities should establish protocols to monitor water quality in the Tangail district communities and develop awareness programs to inform the communities about status of the water quality to protect people from water-borne infection diseases.</p></sec><sec id="s5"><title>Cite this paper</title><p>Jahan, N., Islam, S., Evamoni, F.Z., Hossain, Md.J., Akter, S., Ahmmed, Md.R., Islam, Md.A. and Mahmud, S. (2017) Assessment of Physicochemical and Bacteriological Quality of Different Surface Water Samples of Tangail District, Bangladesh. Advances in Microbiology, 7, 769-789. https://doi.org/10.4236/aim.2017.711062</p></sec></body><back><ref-list><title>References</title><ref id="scirp.80719-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Brum, G. and McKane, L. (1994) Biology: Exploring Life.</mixed-citation></ref><ref id="scirp.80719-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Dara, S. (1993) A Textbook of Environmental Chemistry and Pollution Control. S. Chand, New Delhi.</mixed-citation></ref><ref id="scirp.80719-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Gleick, P.H. (1993) Water in Crisis: A Guide to the Worlds Fresh Water Resources.</mixed-citation></ref><ref id="scirp.80719-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Byomkesh, T., Nakagoshi, N. and Shahedur, R.M. (2009) State and Management of Wetlands in Bangladesh. Landscape and Ecological Engineering, 5, 81.  
https://doi.org/10.1007/s11355-008-0052-5</mixed-citation></ref><ref id="scirp.80719-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Organization, W.H. (2007) Economic and Health Effects of Increasing Coverage of Low Cost Household Drinking-Water Supply and Sanitation Interventions to Countries Off-Track to Meet MDG Target 10: Background Document to the “Human Development Report 2006”.</mixed-citation></ref><ref id="scirp.80719-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Goel, P. (2006) Water Pollution: Causes, Effects and Control. New Age International.</mixed-citation></ref><ref id="scirp.80719-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Mobin, M., et al. (2015) Analysis of Physicochemical Properties of the Turag River Water, Tongi, Gazipur in Bangladesh. Journal of Environmental Science and Natural Resources, 7, 27-33. https://doi.org/10.3329/jesnr.v7i1.22140</mixed-citation></ref><ref id="scirp.80719-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Alam, M.J., et al. (2007) Water Quality Parameters along Rivers. International Journal of Environmental Science &amp; Technology, 4, 159-167.  
https://doi.org/10.1007/BF03325974</mixed-citation></ref><ref id="scirp.80719-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Saha, M.L., et al. (2012) Bacteriological and Physicochemical Water Quality of Four Ponds of Dhaka Metropolis. Bangladesh Journal of Botany, 41, 55-60.  
https://doi.org/10.3329/bjb.v41i1.11083</mixed-citation></ref><ref id="scirp.80719-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Tallon, P., et al. (2005) Microbial Indicators of Faecal Contamination in Water: A Current Perspective. Water, Air, and Soil Pollution, 166, 139-166.  
https://doi.org/10.1007/s11270-005-7905-4</mixed-citation></ref><ref id="scirp.80719-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Moe, C.L. and Rheingans, R.D. (2006) Global Challenges in Water, Sanitation and Health. Journal of Water and Health, 4, 41-57.</mixed-citation></ref><ref id="scirp.80719-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">Talukdar, P.K., et al. (2013) Antimicrobial Resistance, Virulence Factors and Genetic Diversity of Escherichia coli Isolates from Household Water Supply in Dhaka, Bangladesh. PLoS ONE, 8, e61090. https://doi.org/10.1371/journal.pone.0061090</mixed-citation></ref><ref id="scirp.80719-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">Sack, R.B., et al. (1997) Antimicrobial Resistance in Organisms Causing Diarrheal Disease. Clinical Infectious Diseases, 24, S102-S105.</mixed-citation></ref><ref id="scirp.80719-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Balan, I., Shivakumar, M. and Kumar, P.M. (2012) An Assessment of Groundwater Quality using Water Quality Index in Chennai, Tamil Nadu, India. Chronicles of Young Scientists, 3, 146-146. https://doi.org/10.4103/2229-5186.98688</mixed-citation></ref><ref id="scirp.80719-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">Prescott, H. and Harley, J. (2002) Klein. Microbiology.</mixed-citation></ref><ref id="scirp.80719-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">Auer, M.T. and Niehaus, S.L. (1993) Modeling Fecal Coliform Bacteria—I. Field and Laboratory Determination of Loss Kinetics. Water Research, 27, 693-701.  
https://doi.org/10.1016/0043-1354(93)90179-L</mixed-citation></ref><ref id="scirp.80719-ref17"><label>17</label><mixed-citation publication-type="other" xlink:type="simple">Kabir, S.L., et al. (2015) Safety Assessment of Tubewell Water at Fulbaria pourasava in Mymensingh District of Bangladesh.</mixed-citation></ref><ref id="scirp.80719-ref18"><label>18</label><mixed-citation publication-type="other" xlink:type="simple">Ngwa, N.R. and Chrysanthus, N. (2013) Bacteriological Analysis of Well Water Sources in the Bambui Student Residential Area. Journal of Water Resource and Protection, 5, 1013. https://doi.org/10.4236/jwarp.2013.511106</mixed-citation></ref><ref id="scirp.80719-ref19"><label>19</label><mixed-citation publication-type="other" xlink:type="simple">Real, K.H., et al. (2017) Assessment of Water Quality and Microbial Load of Dhaleshwari River Tangail, Bangladesh. Advances in Microbiology, 7, 523-533.  
https://doi.org/10.4236/aim.2017.76041</mixed-citation></ref><ref id="scirp.80719-ref20"><label>20</label><mixed-citation publication-type="other" xlink:type="simple">Al-Salauddin, A.S., et al. (2015) Isolation, Identification, and Antibiogram Studies of Salmonella Species and Escherichia coli from Boiler Meat in Some Selected Areas of Bangladesh.</mixed-citation></ref><ref id="scirp.80719-ref21"><label>21</label><mixed-citation publication-type="other" xlink:type="simple">Roche, L.M., et al. (2013) Water Quality Conditions Associated with Cattle Grazing and Recreation on National Forest Lands. PLoS ONE, 8, e68127.  
https://doi.org/10.1371/journal.pone.0068127</mixed-citation></ref><ref id="scirp.80719-ref22"><label>22</label><mixed-citation publication-type="other" xlink:type="simple">Reza, A. and Yousuf, T.B. (2016) Impacts of Waste Dumping on Water Quality in the Buriganga River, Bangladesh and Possible Mitigation Measures. Journal of the Environment, 11, 35-40.</mixed-citation></ref><ref id="scirp.80719-ref23"><label>23</label><mixed-citation publication-type="other" xlink:type="simple">Organization, W.H. (2004) Guidelines for Drinking-Water Quality. Vol. 1, World Health Organization.</mixed-citation></ref><ref id="scirp.80719-ref24"><label>24</label><mixed-citation publication-type="other" xlink:type="simple">Team, C.W. (2004) Color of Water Fact Sheet. Citeseer.</mixed-citation></ref><ref id="scirp.80719-ref25"><label>25</label><mixed-citation publication-type="other" xlink:type="simple">Volk, C., et al. (2002) Monitoring Dissolved Organic Carbon in Surface and Drinking Waters. Journal of Environmental Monitoring, 4, 43-47.  
https://doi.org/10.1039/b107768f</mixed-citation></ref><ref id="scirp.80719-ref26"><label>26</label><mixed-citation publication-type="other" xlink:type="simple">Meade, J.W. (2012) Aquaculture Management. Springer Science &amp; Business Media.</mixed-citation></ref><ref id="scirp.80719-ref27"><label>27</label><mixed-citation publication-type="other" xlink:type="simple">Kawasaki, J. (2002) Animal Science and Livestock Production. Books in Library and Information Science, 135-156. https://doi.org/10.1201/9780203909119.ch5</mixed-citation></ref><ref id="scirp.80719-ref28"><label>28</label><mixed-citation publication-type="other" xlink:type="simple">Lucy, R., Huda, M. and Islam, S. (2016) Comparative Study on Physicochemical and Biological Parameters of Water among Fish Culture and Reconstructed Pond at Jahangirnagar University Campus, Bangladesh. Journal of Environmental Science and Natural Resources, 9, 1-7. https://doi.org/10.3329/jesnr.v9i1.30248</mixed-citation></ref><ref id="scirp.80719-ref29"><label>29</label><mixed-citation publication-type="other" xlink:type="simple">Bhaumik, U., Das, P. and Paria, T. (2006) Impact of Plankton Structure on Primary Productivity in Two Beels of West Bengal, India. Bangladesh Journal of Fisheries Research, 10, 1-11.</mixed-citation></ref><ref id="scirp.80719-ref30"><label>30</label><mixed-citation publication-type="other" xlink:type="simple">Nagano, Y., et al. (2014) Characterization of Water Pollution in Drainage Networks using Continuous Monitoring Data in the Citadel Area of Hue City, Vietnam. Water Science and Technology, 70, 612-619. https://doi.org/10.2166/wst.2014.243</mixed-citation></ref><ref id="scirp.80719-ref31"><label>31</label><mixed-citation publication-type="other" xlink:type="simple">Knappett, P.S., et al. (2011) Impact of Population and Latrines on Fecal Contamination of Ponds in Rural Bangladesh. Science of the Total Environment, 409, 3174-3182. https://doi.org/10.1016/j.scitotenv.2011.04.043</mixed-citation></ref><ref id="scirp.80719-ref32"><label>32</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Edition</surname><given-names> F. </given-names></name>,<etal>et al</etal>. (<year>2011</year>)<article-title>Guidelines for Drinking-Water Quality</article-title><source> WHO Chronicle</source><volume> 38</volume>,<fpage> 104</fpage>-<lpage>108</lpage>.<pub-id pub-id-type="doi"></pub-id></mixed-citation></ref><ref id="scirp.80719-ref33"><label>33</label><mixed-citation publication-type="other" xlink:type="simple">Hasan, M.M., et al. (2006) Load of HeteLoad of Heterotrophicrotrophic and Nitrifying Bacteria in the Sewage Lagoon and the Receiving River Buriganga. Bangladesh Journal of Microbiology, 23, 93-97.</mixed-citation></ref><ref id="scirp.80719-ref34"><label>34</label><mixed-citation publication-type="other" xlink:type="simple">Dufour, A. (1984) Health Effects Criteria for Fresh Recreational Waters. EPA Document Number EPA-600.</mixed-citation></ref><ref id="scirp.80719-ref35"><label>35</label><mixed-citation publication-type="other" xlink:type="simple">Godfree, A., Kay, D. and Wyer, M. (1997) Faecal Streptococci as Indicators of Faecal Contamination in Water. Journal of Applied Microbiology, 83, 110-119.  
https://doi.org/10.1046/j.1365-2672.83.s1.12.x</mixed-citation></ref><ref id="scirp.80719-ref36"><label>36</label><mixed-citation publication-type="other" xlink:type="simple">Parry, C.M. (2004) The Treatment of Multidrug-Resistant and Nalidixic Acid-Resistant Typhoid Fever in Viet Nam. Transactions of the Royal Society of Tropical Medicine and Hygiene, 98, 413-422.  
https://doi.org/10.1016/j.trstmh.2003.10.014</mixed-citation></ref><ref id="scirp.80719-ref37"><label>37</label><mixed-citation publication-type="other" xlink:type="simple">Afroz, H., Hossain, M.M. and Fakruddin, M. (2014) A 6-Year Retrospective Study of Bloodstream Salmonella Infection and Antibiotic Susceptibility of Salmonella enterica Serovar Typhi and Paratyphi in a Tertiary Care Hospital in Dhaka, Bangladesh. Tzu Chi Medical Journal, 26, 73-78.  
https://doi.org/10.1016/j.tcmj.2014.05.006</mixed-citation></ref><ref id="scirp.80719-ref38"><label>38</label><mixed-citation publication-type="other" xlink:type="simple">Islam, M.S., Drasar, B.S. and Sack, R.B. (1993) The Aquatic Environment as a Reservoir of Vibrio cholerae: A Review. Journal of Diarrhoeal Diseases Research, 197-206.</mixed-citation></ref><ref id="scirp.80719-ref39"><label>39</label><mixed-citation publication-type="other" xlink:type="simple">Cash, R.A., et al. (1974) Response of Man to Infection with Vibrio cholerae. I. Clinical, Serologic, and Bacteriologic Responses to a Known Inoculum. Journal of Infectious Diseases, 129, 45-52. https://doi.org/10.1093/infdis/129.1.45</mixed-citation></ref><ref id="scirp.80719-ref40"><label>40</label><mixed-citation publication-type="other" xlink:type="simple">Longini Jr, I.M., et al. (2002) Epidemic and Endemic Cholera Trends over a 33-Year Period in Bangladesh. The Journal of Infectious Diseases, 186, 246-251.  
https://doi.org/10.1086/341206</mixed-citation></ref><ref id="scirp.80719-ref41"><label>41</label><mixed-citation publication-type="other" xlink:type="simple">Alamanos, Y., et al. (2000) A Community Waterborne Outbreak of Gastro-Enteritis Attributed to Shigella sonnei. Epidemiology &amp; Infection, 125, 499-503.  
https://doi.org/10.1017/S0950268800004866</mixed-citation></ref><ref id="scirp.80719-ref42"><label>42</label><mixed-citation publication-type="other" xlink:type="simple">Hara-Kudo, Y. and Takatori, K. (2011) Contamination Level and Ingestion Dose of Foodborne Pathogens Associated with Infections. Epidemiology &amp; Infection, 139, 1505-1510. https://doi.org/10.1017/S095026881000292X</mixed-citation></ref><ref id="scirp.80719-ref43"><label>43</label><mixed-citation publication-type="other" xlink:type="simple">Zaman, K., et al. (1991) Surveillance of Shigellosis in Rural Bangladesh: A 10 Years Review. The Journal of the Pakistan Medical Association, 41, 75-78.</mixed-citation></ref><ref id="scirp.80719-ref44"><label>44</label><mixed-citation publication-type="other" xlink:type="simple">Palaniappan, R. (1982) Studies on the Microflora on Prawns Penaeus indicus (Milne Edwards) (Crustacean decopoda, Penaedae) with Reference to Its Digestive System. PhD Thesis, Annamalai University.</mixed-citation></ref><ref id="scirp.80719-ref45"><label>45</label><mixed-citation publication-type="other" xlink:type="simple">Parvez, A.K., et al. (2016) Bacteriological Quality of Drinking Water Samples across Bangladesh. Archives of Clinical Microbiology.</mixed-citation></ref></ref-list></back></article>