<?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">OALibJ</journal-id><journal-title-group><journal-title>Open Access Library Journal</journal-title></journal-title-group><issn pub-type="epub">2333-9705</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/oalib.1105571</article-id><article-id pub-id-type="publisher-id">OALibJ-94112</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><subject> Business&amp;Economics</subject><subject> Chemistry&amp;Materials Science</subject><subject> Computer Science&amp;Communications</subject><subject> Earth&amp;Environmental Sciences</subject><subject> Engineering</subject><subject> Medicine&amp;Healthcare</subject><subject> Physics&amp;Mathematics</subject><subject> Social Sciences&amp;Humanities</subject></subj-group></article-categories><title-group><article-title>
 
 
  Vibrio cholerae: General Knowledge and Epidemiological Aspects
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Vicento</surname><given-names>Diabeno</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>Erick</surname><given-names>Kamangu</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Department of Basic Sciences, Faculty of Medicine, University of Kinshasa, Kinshasa, DRC</addr-line></aff><pub-date pub-type="epub"><day>01</day><month>07</month><year>2019</year></pub-date><volume>06</volume><issue>07</issue><fpage>1</fpage><lpage>12</lpage><history><date date-type="received"><day>2,</day>	<month>July</month>	<year>2019</year></date><date date-type="rev-recd"><day>28,</day>	<month>July</month>	<year>2019</year>	</date><date date-type="accepted"><day>31,</day>	<month>July</month>	<year>2019</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>
 
 
  Cholera is an infectious diarrheal disease, highly contagious transmitted by a gram-negative bacteria, Vibrio cholerae. The infectious strain is divided into two biotypes (El Tor and Classical) based on their phenotypic characteristics and three serotypes (Inaba, Ogawa, Hikojima) according to the antiserum agglutination test. The Hikojima serotypes form is very rarely found during an epidemic. To date, several studies have shown that the CTX phage which is a vibriophage, confers on the bacterium its infectious nature. Through its lysogenic cycle, it converts the bacterial host from a non-pathogenic strain to a pathogeni
  c strain, thereby providing virulence genes to the bacterial host. In 2011, several cases of cholera were reported worldwide, and in the Democratic Republic of Congo, the first cases of cholera were identified in 1994 following the displacement of Rwandan refugees in the town of Goma, bordering Rwanda. Since then, cholera has become endemic in this region. In 2017, several cases of cholera have been reported in several provinces of the Democratic Republic of Congo including Kinshasa. Hygienic measures must be taken into account to fight effectively against the disease. Strengthening the capacity of laboratory staff, the establishment of rapid molecular diagnostic tools is necessary for proper care of people living in areas likely to develop the cholera epidemic.
 
</p></abstract><kwd-group><kwd>Cholera</kwd><kwd> Vibrio cholerae</kwd><kwd> Bacteriophage</kwd><kwd> Epidemiology</kwd><kwd> DRC</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Cholera is an acute diarrheal disease. It is often associated with Low-income (LIC) Countries where it can cause mortality and significant economic losses, and even be endemic in given regions. Severe dehydration and electrolyte imbalance can result in 50% of untreated cases due to constant diarrhea leading to death [<xref ref-type="bibr" rid="scirp.94112-ref1">1</xref>] . Vibrio cholerae, the bacterium that is the etiological agent of cholera, is transmitted by water and food contaminated with faeces [<xref ref-type="bibr" rid="scirp.94112-ref2">2</xref>] . Cholera is considered endemic in a region where the bacteria live in the natural environment and outbreaks have occurred independently of imported cases [<xref ref-type="bibr" rid="scirp.94112-ref3">3</xref>] . Cholera can become endemic in a region through different pathways that depend on local environmental conditions. Generally, the collapse of sanitation and water supply infrastructure is the main cause of cholera outbreaks [<xref ref-type="bibr" rid="scirp.94112-ref4">4</xref>] . Recently, multidrug-resistant Vibrio cholera species have been reported [<xref ref-type="bibr" rid="scirp.94112-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.94112-ref5">5</xref>] . In addition, the interaction between the water-borne bacterium, the human host and the environment should be given special attention in developing strategies for the management and eradication of cholera [<xref ref-type="bibr" rid="scirp.94112-ref2">2</xref>] .</p></sec><sec id="s2"><title>2. Taxonomy and Classification</title><p>Cholera is an infectious diarrheal disease, of epidemic origin, of bacterial origin, transmitted through the digestive tract. It is a component par excellence of faecal danger, and a real emergency in public health. It is the privileged companion of natural disasters and situations of conflict that are accompanied by massive displacement of populations. However, it can occur in a context of political stability and in the absence of any natural calamity, when the socio-economic conditions of populations and those of the environment are favorable to its development [<xref ref-type="bibr" rid="scirp.94112-ref6">6</xref>] . V. cholerae 01 has two disctinted biotypes (Classic and El Tor) and each biotype has three serotypes: Ogawa, Inaba and Hikojima. Serogroups other than 01 and 0139 are not associated with cholera and may cause sporadic cases and are collectively known as V. cholerae non-01 and non-0139. Three non-01 serogroups that have been associated with major events are 037 [<xref ref-type="bibr" rid="scirp.94112-ref7">7</xref>] 075 [<xref ref-type="bibr" rid="scirp.94112-ref8">8</xref>] , and 0141 [<xref ref-type="bibr" rid="scirp.94112-ref9">9</xref>] . Recent studies have shown that serogroup 0139 is a derivative of the prototype of the El tor biotype strain [<xref ref-type="bibr" rid="scirp.94112-ref10">10</xref>] . Additional variants of the El tor prototype, such as the Matlab strain [<xref ref-type="bibr" rid="scirp.94112-ref11">11</xref>] , the Mozambique strain [<xref ref-type="bibr" rid="scirp.94112-ref12">12</xref>] , and the El tor strain have been modified [<xref ref-type="bibr" rid="scirp.94112-ref13">13</xref>] , and reported. The modified variant of the El tor strain in which the B subunit of cholera toxin is currently of the classical type generally dominates.</p></sec><sec id="s3"><title>3. Vibrio cholerae and Phage CTXɸ</title><p>Most bacteriophages are harmful to the metabolism of their host. However, phages also participate in the horizontal transfer of genes among bacteria because the genome keeps the port of genes other than those strictly required for their life cycle. This can be very beneficial to the bacterial host. Indeed, many bacterial virulence factors are associated with phage-like DNA sequences. Strikingly, the exotoxins produced by many pathogenic bacteria are encoded in the lysogenic phage genome. This is particularly the case in Bordetellaavium, Clostridium botulinum, Corynebacteriumdiphtheriae, Escherichia coli, Pseudomonas aeruginosa, Shigelladysenteriae, Staphylococcus aureus and Streptococcus pyogenes. The prophages integrated by these bacteria benefit from the multiplication of their host in the environment which is then favored by the virulence factors provided to their host [<xref ref-type="bibr" rid="scirp.94112-ref14">14</xref>] .The study of Vibrio cholerae, the agent of the fatal diarrheal disease of cholera, provides a fascinating case of such co-evolution of bacterium-phage. V. cholerae is the host for a variety of phages, commonly known as vibriophage, which may be lytic or non-lytic, virulent or moderate [<xref ref-type="bibr" rid="scirp.94112-ref15">15</xref>] . On one hand, predation of V. cholerae phage has been reported to be a factor influencing seasonal epidemics of cholera [<xref ref-type="bibr" rid="scirp.94112-ref16">16</xref>] . In contrast, one of the major factors of V. cholerae virulence is encoded in the genome of an integrated CTXϕ prophage [<xref ref-type="bibr" rid="scirp.94112-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.94112-ref17">17</xref>] . In addition, there are variants of CTXϕ phage that contribute to the genetic diversity of epidemics causing cholera strains [<xref ref-type="bibr" rid="scirp.94112-ref18">18</xref>] [<xref ref-type="bibr" rid="scirp.94112-ref19">19</xref>] .</p></sec><sec id="s4"><title>4. Vibrio and Bacteriophage: Origin of CTXɸ</title><p>CTXϕ is a filamentous bacteriophage specific for Vibrio cholerae that was first identified in 1996 [<xref ref-type="bibr" rid="scirp.94112-ref17">17</xref>] . The CTX genome includes the genes that encode cholera toxin, an AB5 toxin subunit secreted by V. cholerae during its development in the small intestine [<xref ref-type="bibr" rid="scirp.94112-ref20">20</xref>] . The activity of the cholera toxin greatly accounts for the deep secretory diarrhea that is characteristic of cholera. Therefore, the acquisition of CTXϕ was a key event in the emergence of a pathogenic V. cholerae. Virulence factors are frequently encoded in mobile genetic elements such as phages and plasmids [<xref ref-type="bibr" rid="scirp.94112-ref21">21</xref>] . A number of features of the CTXϕ genome suggest that the ctxAB genes were acquired by a CTXϕ ancestor (preCTXϕ) from an unknown source [<xref ref-type="bibr" rid="scirp.94112-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.94112-ref22">22</xref>] . The percentage of GC of the ctxAB genes (38%) is different from that of the rest of the CTXϕ genome (40%) (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p><p>CT production is induced by two promoters: the PrstA promoter which is −5 kb upstream from ctxA is required for CTXϕ virion synthesis but can extend into ctxAB, and the PctxAB promoter is immediately upstream of ctxAB. In addition, V. cholerae strains carry CTX prophage sequences that do not encode the ctxAB genes that have been identified [<xref ref-type="bibr" rid="scirp.94112-ref23">23</xref>] . This propagative precursor CTX (preCTX) also produces the Replicative Form (RF) of their genomes that are very similar to the CTXϕ genome RF but they do not carry the genes of the ctxAB. Molecular analysis of these preCTX plasmids revealed that they also missed the upstream control region normally found on the 5’side of ctxA, as well as the region of the ctxAB promoter encoding sequences. These observations suggest that a preCTX simultaneously acquired the ctxAB genes and their regulatory sequences. It has been proposed that in the event that leads to the acquisition of ctxAB genes by a preCTXϕ, the integration of the preCTXϕ genome occurred next to the ctxAB genes carried by an unknown organism, and because the CTX virion production occurs by rolling circle replication of the chromosome, ctxAB genes and regulatory sequences were acquired from the unknown source by imprecise replication of the prophage [<xref ref-type="bibr" rid="scirp.94112-ref24">24</xref>] [<xref ref-type="bibr" rid="scirp.94112-ref25">25</xref>] . The acquisition of ctxAB genes by pre-CTXϕ has increased its ability since CTXϕ confers a selective advantage to its V. cholerae host by producing CT; the action of enterotoxin</p><p>results in a profuse diarrhea, favoring the dissemination of the bacterium and therefore the phage. The lysogenic form of stable CTXϕ in V. cholerae, and the replication of phage does not cause V. cholerae cell lysis; therefore, the CTXϕ genome can be vertically and horizontally transferred [<xref ref-type="bibr" rid="scirp.94112-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.94112-ref24">24</xref>] .</p></sec><sec id="s5"><title>5. CTXɸ and TCP</title><p>Bacteriophages can convert their bacterial host from a non-pathogenic strain through a process called phage conversion, providing phage-encoded virulence genes to the host. Toxigenic V. cholerae isolated carry the ctx AB genes encoded by lysogenic filamentous phage CTXϕ [<xref ref-type="bibr" rid="scirp.94112-ref17">17</xref>] . Only strains that carry CTXϕ cause the epidemic and the cholera pandemic. Phage is similar in size, structure, and gene order in filamentous coliphages such as E. coli M13 and f1 [<xref ref-type="bibr" rid="scirp.94112-ref24">24</xref>] . The ctxAB genes that encode the enterotoxin CT type A-B reside in the CTXϕ genome that exists as a prophage in the integrated form of the phage genome in the host of the bacterial chromosome [<xref ref-type="bibr" rid="scirp.94112-ref26">26</xref>] . The ability of V. cholerae strains to cause cholera in humans depends on the presence in their genomes of two sets of genes called pathogenicity islands [<xref ref-type="bibr" rid="scirp.94112-ref17">17</xref>] . The first, called the Coregulated Pilus Toxin (TCP), contains the genes responsible for the synthesis of factors allowing the colonization of the mucosa by V. cholerae [<xref ref-type="bibr" rid="scirp.94112-ref27">27</xref>] . The genes contained in TCP code in particular for the synthesis of bacterial filaments promoting the adhesion of the bacterium to human intestinal cells [<xref ref-type="bibr" rid="scirp.94112-ref28">28</xref>] . Some authors have shown that this islet of pathogenicity is actually the genome of one called VPIϕ, which is transmitted from one V. cholerae to another [<xref ref-type="bibr" rid="scirp.94112-ref17">17</xref>] .</p></sec><sec id="s6"><title>6. Diversity of CTXɸ</title><p>The CTXϕ rstR gene sequence can vary considerably among El Tor, classical and isolated 0139, although rstA and rstB show a high level of conservation of the sequence among different V. cholerae isolated. The variation of the rstR sequence was used to classify CTXϕ. For example, CTXϕ of isolated classics carry rstR class and are designated CTXclassϕ; while El Isolated Tor usually carry rstR ET, and are CTXETϕ. V. cholerae 0139 carries CTXET or a CTXϕ with a distinct rstR designated rstRCalc and the phage is designated CTXCalcϕ [<xref ref-type="bibr" rid="scirp.94112-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.94112-ref29">29</xref>] . V. cholerae 0139 strains may also carry CTXETϕ or both CTXcalcϕ prophages simultaneously [<xref ref-type="bibr" rid="scirp.94112-ref24">24</xref>] . In addition several new rstR sequences have been identified in V. cholerae non 01/non-0139 isolated, and from which there may be various CTXϕ carry by these strains of V. cholerae from the environment [<xref ref-type="bibr" rid="scirp.94112-ref30">30</xref>] . The evolutionary molecular analysis of CTXϕs derived from a variety of isolated natural V. cholerae was made, based on sequence analysis of rstR and gIIICTX. These data taken together indicate distinct CTXϕ lineages, independent acquisition of CTXϕ by the individual isolated V. cholerae, and the novel CTXϕ acquisition by the classical strains, El Tor and 0139 [<xref ref-type="bibr" rid="scirp.94112-ref25">25</xref>] [<xref ref-type="bibr" rid="scirp.94112-ref31">31</xref>] .</p></sec><sec id="s7"><title>7. Epidemiological Situation of Cholera in 2011</title><p>In 2011, cases of cholera caused by Vibrio cholerae were reported in all regions of the world. In total, 58 countries reported a cumulative total of 5,898,541 cases, including 7816 deaths, or a case-fatality rate (LT) of 1.3%, which represents an 85% increase in the number of cases compared to last year. For the second year in a row, the proportion of cases reported by Africa was less than 50% of the global total (<xref ref-type="fig" rid="fig1">Figure 1</xref>). The increase in the number of cases worldwide compared to 2010 is the result of a major outbreak that began in October 2010 in Haiti and is still ongoing. As in previous years, the trends and annual figures presented in this report do not take into account an estimated 500,000 to 700,000 annual cases attributed to acute watery diarrhea, which occur in Southeast Asia and Southeast Asia in Central Asia [<xref ref-type="bibr" rid="scirp.94112-ref32">32</xref>] (<xref ref-type="fig" rid="fig2">Figure 2</xref>).</p></sec><sec id="s8"><title>8. Epidemiological Survey of the Democratic Republic of Congo in 2011</title><sec id="s8_1"><title>8.1. Province of Katanga</title><p>In 2011, Katanga reported 3236 cases and 52 deaths from cholera (lethality: 1.6%). Overall, there is a reduction in the number of cases compared to 2010 when 5245 cases and 104 deaths were reported. For more than 11 years, Katanga Province has continuously reported cases of cholera with two outbreaks at the beginning and end of the year. The lull period (late May to late August), corresponds to the dry season. However, epidemic outbreaks have been observed in the dry season most often following interruptions in the supply of drinking water and also to cyclical movements of populations [<xref ref-type="bibr" rid="scirp.94112-ref33">33</xref>] .</p></sec><sec id="s8_2"><title>8.2. Province of South Kivu</title><p>According to the central level database, 6389 cases and 35 cholera deaths were reported in 2011. However, the South Kivu database reports 6832 cases with 53 deaths, a difference of 443 cases and 18 deaths. This difference, while not changing the overall evolutionary trend of the epidemic in the province, illustrates late arrivals (weaknesses in readiness) of data from health zones to the province. Often, late arrivals to the provincial epidemiological surveillance office are not always sent centrally to improve reporting completeness. Hence this difference between the bases of the provinces and those of the central level [<xref ref-type="bibr" rid="scirp.94112-ref33">33</xref>] .</p></sec><sec id="s8_3"><title>8.3. Province of North Kivu</title><p>In 2011, North Kivu reported 5426 cases of cholera and 57 deaths. The high lethality observed over the past three years (1.1%) could be explained by population influx and emergence of cases in non- endemic health areas such as Vuhovi where the reported case fatality is 6.3%.. Difficult access to health zones affected by cholera and with a high level of insecurity did not allow rapid implementation of response actions against these epidemics [<xref ref-type="bibr" rid="scirp.94112-ref33">33</xref>] .</p></sec><sec id="s8_4"><title>8.4. Province of Maniema</title><p>According to the national database maintained in Kinshasa, there would have been very little information on the cholera situation in Maniema in 2011. According to this national database, 13 cases were reported from the health zone of Lubutu. Given the resumption of traffic between the two Kivu and Lubutu, it is possible that the index cases of this Lubutu epidemic came from Kivu [<xref ref-type="bibr" rid="scirp.94112-ref35">35</xref>] . In 2011, this province reported a total of 1638 cases and 74 deaths, a lethality of 4.5%. According to the distribution of cases by health zone, three geographical areas were affected by cholera in Orientale Province [<xref ref-type="bibr" rid="scirp.94112-ref33">33</xref>] .</p></sec><sec id="s8_5"><title>8.5. Province of Ecuador</title><p>Despite a very limited supply of drinking water, despite numerous sanitation problems in several ports and markets in the main cities of Ecuador located along the river, this province has remained free from cholera since the end of the last cholera epidemics. 2001. The epidemic reported from April 2011 is a consequence of the spread of cholera cases from the health zones affected by this disease in Orientale Province. This epidemic restart proves the epidemic nature of Ecuador's health zones. Also, it would be logical to think that the end of the current epidemics in Ecuador (and in other western provinces) should only be declared when it is reported that there are zero cases of cholera [<xref ref-type="bibr" rid="scirp.94112-ref33">33</xref>] .</p></sec><sec id="s8_6"><title>8.6. Province of Bandundu</title><p>The 2011 Bandundu outbreaks (first cases at week 22) are also the result of the spread of Kisangani epidemics across the river. Bandundu province reported in 2011, 1664 cases and 137 deaths due to cholera a lethality of 8.2%. The Bolobo Health Zone (1325 cases and 62 deaths, or 4.7% lethality) reported 60% of all cases in the province [<xref ref-type="bibr" rid="scirp.94112-ref33">33</xref>] .</p></sec><sec id="s8_7"><title>8.7. Province of Kinshasa</title><p>In the more recent past, the latest cholera outbreaks in the city-province of Kinshasa dates back to 1996 to 2001. In 2011, the first cases of cholera were reported in Kinshasa from June 12 (week 24). Until week 52, 937 cases and 19 deaths were reported, a lethality of 2%. The health zones of Kingabwa and Maluku I were the first to be affected by week 24. The index cases were merchants who arrived by boat from the health zones of Kwamouth and Bolobo (Bandundu province). Kingabwa, Limete and Maluku I, the three health zones located along the river and with intense port activity in connection with the Bandundu localities along the river, reported 67% of all cases in Kinshasa [<xref ref-type="bibr" rid="scirp.94112-ref33">33</xref>] .</p><p><xref ref-type="table" rid="table1">Table 1</xref> and <xref ref-type="table" rid="table2">Table 2</xref>, demonstrates The Fungurume area in Lualaba province</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Presents the epidemiological situation of cholera in 2017, S-48</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Province</th><th align="center" valign="middle" >CaseS1- S48</th><th align="center" valign="middle" >Lethality S1-S48 (%)</th><th align="center" valign="middle" >Case S46</th><th align="center" valign="middle" >Case S47</th><th align="center" valign="middle" >Case S48</th><th align="center" valign="middle" >Lethality S48</th><th align="center" valign="middle" >Number of affected areas S48</th><th align="center" valign="middle" >TV S47_S48 (%)</th><th align="center" valign="middle" >New Zones assigned to S48</th></tr></thead><tr><td align="center" valign="middle" >Lomami</td><td align="center" valign="middle" >1941</td><td align="center" valign="middle" >5.8</td><td align="center" valign="middle" >430</td><td align="center" valign="middle" >345</td><td align="center" valign="middle" >223</td><td align="center" valign="middle" >2.6</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >−35.4</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Nord-Kivu</td><td align="center" valign="middle" >13,341</td><td align="center" valign="middle" >0.7</td><td align="center" valign="middle" >405</td><td align="center" valign="middle" >398</td><td align="center" valign="middle" >210</td><td align="center" valign="middle" >0.4</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >−47.2</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Sud-Kivu</td><td align="center" valign="middle" >11,299</td><td align="center" valign="middle" >0.4</td><td align="center" valign="middle" >383</td><td align="center" valign="middle" >359</td><td align="center" valign="middle" >197</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >−45.1</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Haut Lomami</td><td align="center" valign="middle" >4269</td><td align="center" valign="middle" >1.9</td><td align="center" valign="middle" >121</td><td align="center" valign="middle" >165</td><td align="center" valign="middle" >166</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >0.6</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Kasa&#239;</td><td align="center" valign="middle" >654</td><td align="center" valign="middle" >7.8</td><td align="center" valign="middle" >133</td><td align="center" valign="middle" >102</td><td align="center" valign="middle" >78</td><td align="center" valign="middle" >14.1</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >−23.5</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Kongo Central</td><td align="center" valign="middle" >3994</td><td align="center" valign="middle" >2.5</td><td align="center" valign="middle" >112</td><td align="center" valign="middle" >104</td><td align="center" valign="middle" >66</td><td align="center" valign="middle" >7.5</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >−36.5</td><td align="center" valign="middle" >Mbanzangungu</td></tr><tr><td align="center" valign="middle" >Sankuru</td><td align="center" valign="middle" >351</td><td align="center" valign="middle" >12.2</td><td align="center" valign="middle" >146</td><td align="center" valign="middle" >112</td><td align="center" valign="middle" >50</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >−55.4</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Tanganyika</td><td align="center" valign="middle" >5999</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >85</td><td align="center" valign="middle" >88</td><td align="center" valign="middle" >46</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >−47.7</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Ituri</td><td align="center" valign="middle" >1210</td><td align="center" valign="middle" >4.6</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >46</td><td align="center" valign="middle" >35</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >−23.9</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Lualaba</td><td align="center" valign="middle" >87</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >31</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >416.7</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Maniema</td><td align="center" valign="middle" >1725</td><td align="center" valign="middle" >2.5</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >7.1</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >133.3</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Kinshasa</td><td align="center" valign="middle" >417</td><td align="center" valign="middle" >7.6</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >33.3</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Kwilu</td><td align="center" valign="middle" >661</td><td align="center" valign="middle" >6.9</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >−50.0</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Equateur</td><td align="center" valign="middle" >933</td><td align="center" valign="middle" >4.2</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.0</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Kasai Oriental</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >16.7</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >−100.0</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Mai Ndombe</td><td align="center" valign="middle" >985</td><td align="center" valign="middle" >5.2</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >0</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" >Haut Katanga</td><td align="center" valign="middle" >134</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >0</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" >Bas-Uele</td><td align="center" valign="middle" >362</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</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" >Kwango</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</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" >Mongala</td><td align="center" valign="middle" >1378</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</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" >Nord Ubangi</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</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" >Sud Ubangi</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</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" >Tshopo</td><td align="center" valign="middle" >754</td><td align="center" valign="middle" >7.2</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</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</td><td align="center" valign="middle" >50,507</td><td align="center" valign="middle" >2.1%</td><td align="center" valign="middle" >1908</td><td align="center" valign="middle" >1749</td><td align="center" valign="middle" >1137</td><td align="center" valign="middle" >2.6</td><td align="center" valign="middle" >59</td><td align="center" valign="middle" >−35</td><td align="center" valign="middle" >1</td></tr></tbody></table></table-wrap><p>recorded the largest increase in the number of reported cases followed by health zones in the city of Kindu in Maniema. The persistence of households with high transmission potential in Upper Lomami deserves a special investment. The province of Lomami remains in the lead in terms of reported cases even if the overall trend remains down (35%) compared to week 47. the positive aspect to consider is the absence of new areas affected. which reflects a stabilization of the old homes (Ngandajika, Kanda Kanda, Mulumba, Kalambay).</p><p>Source: National Program for the Elimination of Cholera and Diarrheal Disease Control in the DRC, S-48 2017, Ministry of Public Health [<xref ref-type="bibr" rid="scirp.94112-ref34">34</xref>] .</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Presents the epidemiological situation of cholera, Province, DRC, health zones assigned to S-48/2017</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Province</th><th align="center" valign="middle" >Case 48</th><th align="center" valign="middle" >Number of affected areas/S48</th><th align="center" valign="middle" >TV S 47_48 (%)</th><th align="center" valign="middle" >Affected areas</th></tr></thead><tr><td align="center" valign="middle" >Lomami</td><td align="center" valign="middle" >223</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >−35.4</td><td align="center" valign="middle" >-Ngandajika, Kanda Kanda, Mulumba, Kalambay</td></tr><tr><td align="center" valign="middle" >Nord-Kivu</td><td align="center" valign="middle" >210</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >−47.2</td><td align="center" valign="middle" >Goma, Karisimbi, Nyiragongo, Kirothe, Masisi, Mweso</td></tr><tr><td align="center" valign="middle" >Sud-Kivu</td><td align="center" valign="middle" >197</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >−45.1</td><td align="center" valign="middle" >-Bagira, Kadutu, Ibanda, Minova, Idjwi, Katana, Kabaea, Fizi, Miti Murheza</td></tr><tr><td align="center" valign="middle" >Haut Lomami</td><td align="center" valign="middle" >166</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >0.6</td><td align="center" valign="middle" >Mulongo, MalembaNkuku, Bukama, Mukanga, Kabondodianda, Kikondja, Lwamba</td></tr><tr><td align="center" valign="middle" >Kasai</td><td align="center" valign="middle" >78</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >−23.5</td><td align="center" valign="middle" >-Ilebo, Mikope, Mushenge, Dekesse, Bulape</td></tr><tr><td align="center" valign="middle" >Kongo Central</td><td align="center" valign="middle" >66</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >−36.5</td><td align="center" valign="middle" >-Mbanzangungu, Kimpese, KwiluNgongo, Kimpangu, Ngidinga</td></tr><tr><td align="center" valign="middle" >Sankuru</td><td align="center" valign="middle" >50</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >−55.4</td><td align="center" valign="middle" >BenaDibele, Kole</td></tr><tr><td align="center" valign="middle" >Tanganyka</td><td align="center" valign="middle" >46</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >−47.7</td><td align="center" valign="middle" >-Kalemie, Nyemba, Ankoro, Kongolo, Kabalo</td></tr><tr><td align="center" valign="middle" >Ituri</td><td align="center" valign="middle" >35</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >−23.9</td><td align="center" valign="middle" >-Fataki, Drodro, Tchomia, Gethy</td></tr><tr><td align="center" valign="middle" >Lualaba</td><td align="center" valign="middle" >31</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >416.7</td><td align="center" valign="middle" >-Fungurume</td></tr><tr><td align="center" valign="middle" >Maniema</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >133.3</td><td align="center" valign="middle" >-Kaito, Alunguli, Kampene, Kindu, Kunda</td></tr><tr><td align="center" valign="middle" >Kinshasa</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >33.3</td><td align="center" valign="middle" >-Kingabwa, Limete, Masina I</td></tr><tr><td align="center" valign="middle" >Kwilu</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >−50.0</td><td align="center" valign="middle" >-Ipamu, Mokala</td></tr><tr><td align="center" valign="middle" >Equateur</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.0</td><td align="center" valign="middle" >-Lukolela</td></tr><tr><td align="center" valign="middle" >Kasa&#239; Oriental</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >−100.0</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Total (n = 14)</td><td align="center" valign="middle" >1137</td><td align="center" valign="middle" >59</td><td align="center" valign="middle" >−35%/to S47</td><td align="center" valign="middle" >-</td></tr></tbody></table></table-wrap></sec><sec id="s8_8"><title>8.8. Cities and Lakeside Areas of Particular Interest for the Fight against Cholera in the DRC</title><p>The zones (in red) were identified from analyzes of the spatio-temporal dynamics of the epidemics that occurred in eastern DRC between 2000 and 2007. It has been shown that all the epidemics that occurred in this eastern region of the DRC all have their starting point in these seven regions, all lacustrine. During periods of epidemic lull (often in the dry season), cholera cases persist in these areas considered as “sources” of cholera in the DRC. Hence the priority targeting of these areas in the DRC cholera elimination plan [<xref ref-type="bibr" rid="scirp.94112-ref35">35</xref>] (<xref ref-type="fig" rid="fig3">Figure 3</xref>).</p></sec></sec><sec id="s9"><title>9. Conclusion</title><p>Cholera infection is a major challenge for the Democratic Republic of Congo. In order to put an end to this epidemic, hygiene measures must be taken into account to sensitize the population who continues to expose themselves through certain practices. Molecular epidemiology remains a key area to carry out studies related to resistance to anti-infective but also the ongoing monitoring of strains that could come from one region to another.</p></sec><sec id="s10"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s11"><title>Cite this paper</title><p>Diabeno, V. and Kamangu, E. (2019) Vibrio cholerae: General Knowledge and Epidemiological Aspects. 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