Le SIDA en Afrique subsaharienne (serveur d'exploration)

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Serologic Evidence of the Geographic Distribution of Bacterial Zoonotic Agents in Kenya, 2007

Identifieur interne : 000493 ( Pmc/Checkpoint ); précédent : 000492; suivant : 000494

Serologic Evidence of the Geographic Distribution of Bacterial Zoonotic Agents in Kenya, 2007

Auteurs : Victor O. Omballa ; Raymond N. Musyoka ; Amy Y. Vittor ; Kabura B. Wamburu ; Cyrus M. Wachira ; Lilian W. Waiboci ; Mamo U. Abudo ; Bonventure W. Juma ; Andrea A. Kim ; Joel M. Montgomery ; Robert F. Breiman ; Barry S. Fields

Source :

RBID : PMC:4710443

Abstract

Diseases of zoonotic origin contribute to the burden of febrile illnesses in developing countries. We evaluated serologic evidence of exposure to Bacillus anthracis, Brucella spp., spotted fever group rickettsioses (SFGR), and typhus group rickettsioses (TGR) from samples of persons aged 15–64 years collected during a nationwide human immunodeficiency virus (HIV) serosurvey conducted in 2007 in Kenya. The seropositivity observed for pathogens was B. anthracis 11.3%, Brucella spp. 3.0%, SFGR 23.3%, and TGR 0.6%. On univariate analysis, seropositivity for each pathogen was significantly associated with the following risk factors: B. anthracis with province of residence; Brucella spp. with sex, education level, and wealth; SFGR with age, education level, wealth, and province of residence; and TGR with province of residence. On multivariate analysis, seropositivity remained significantly associated with wealth and province for B. anthracis; with sex and age for Brucella spp; and with sex, education level, and province of residence for SFGR whereas TGR had no significance. High IgG seropositivity to these zoonotic pathogens (especially, B. anthracis and SFGR) suggests substantial exposure. These pathogens should be considered in the differential diagnosis of febrile illness in Kenya.


Url:
DOI: 10.4269/ajtmh.15-0320
PubMed: 26598574
PubMed Central: 4710443


Affiliations:


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PMC:4710443

Le document en format XML

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<p>Diseases of zoonotic origin contribute to the burden of febrile illnesses in developing countries. We evaluated serologic evidence of exposure to
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spp., spotted fever group rickettsioses (SFGR), and typhus group rickettsioses (TGR) from samples of persons aged 15–64 years collected during a nationwide human immunodeficiency virus (HIV) serosurvey conducted in 2007 in Kenya. The seropositivity observed for pathogens was
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<italic>Brucella</italic>
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<italic>B. anthracis</italic>
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<italic>Brucella</italic>
spp. with sex, education level, and wealth; SFGR with age, education level, wealth, and province of residence; and TGR with province of residence. On multivariate analysis, seropositivity remained significantly associated with wealth and province for
<italic>B. anthracis</italic>
; with sex and age for
<italic>Brucella</italic>
spp; and with sex, education level, and province of residence for SFGR whereas TGR had no significance. High IgG seropositivity to these zoonotic pathogens (especially,
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</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Omemo, P" uniqKey="Omemo P">P Omemo</name>
</author>
<author>
<name sortKey="Ogola, E" uniqKey="Ogola E">E Ogola</name>
</author>
<author>
<name sortKey="Omondi, G" uniqKey="Omondi G">G Omondi</name>
</author>
<author>
<name sortKey="Wasonga, J" uniqKey="Wasonga J">J Wasonga</name>
</author>
<author>
<name sortKey="Knobel, D" uniqKey="Knobel D">D Knobel</name>
</author>
</analytic>
</biblStruct>
</listBibl>
</div1>
</back>
</TEI>
<pmc article-type="research-article">
<pmc-dir>properties open_access</pmc-dir>
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Am J Trop Med Hyg</journal-id>
<journal-id journal-id-type="iso-abbrev">Am. J. Trop. Med. Hyg</journal-id>
<journal-id journal-id-type="publisher-id">tpmd</journal-id>
<journal-title-group>
<journal-title>The American Journal of Tropical Medicine and Hygiene</journal-title>
</journal-title-group>
<issn pub-type="ppub">0002-9637</issn>
<issn pub-type="epub">1476-1645</issn>
<publisher>
<publisher-name>The American Society of Tropical Medicine and Hygiene</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="pmid">26598574</article-id>
<article-id pub-id-type="pmc">4710443</article-id>
<article-id pub-id-type="doi">10.4269/ajtmh.15-0320</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Articles</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Serologic Evidence of the Geographic Distribution of Bacterial Zoonotic Agents in Kenya, 2007</article-title>
<alt-title alt-title-type="left-running-head">OMBALLA AND OTHERS</alt-title>
<alt-title alt-title-type="right-running-head">SEROLOGIC EVIDENCE OF BACTERIAL ZOONOTIC AGENTS IN KENYA, 2007</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Omballa</surname>
<given-names>Victor O.</given-names>
</name>
<xref ref-type="corresp" rid="COR1">*</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Musyoka</surname>
<given-names>Raymond N.</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Vittor</surname>
<given-names>Amy Y.</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wamburu</surname>
<given-names>Kabura B.</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wachira</surname>
<given-names>Cyrus M.</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Waiboci</surname>
<given-names>Lilian W.</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Abudo</surname>
<given-names>Mamo U.</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Juma</surname>
<given-names>Bonventure W.</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kim</surname>
<given-names>Andrea A.</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Montgomery</surname>
<given-names>Joel M.</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Breiman</surname>
<given-names>Robert F.</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Fields</surname>
<given-names>Barry S.</given-names>
</name>
</contrib>
</contrib-group>
<aff id="AFF1">Center for Global Health Research, Kenya Medical Research Institute, Nairobi, Kenya; University of Tampere, Tampere, Finland; Africa Refugee Health Program, Division of Global Health Protection, Centers for Disease Control and Prevention, Nairobi, Kenya; Department of Medicine, University of Florida, Gainesville, Florida; University of Nairobi, Nairobi, Kenya; Kenya Ministry of Public Health and Sanitation, Nairobi, Kenya; Diagnostics and Laboratory Systems Program, Division of Global Health Protection, Centers for Disease Control and Prevention, Nairobi, Kenya; Division of Global HIV/AIDS, Surveillance and Epidemiology, Centers for Disease Control and Prevention, Nairobi, Kenya; Global Disease Detection Branch, Division of Global Health Protection, Centers for Disease Control and Prevention, Nairobi, Kenya; Emory University, Atlanta, Georgia</aff>
<author-notes>
<corresp id="COR1">*Address correspondence to Victor O. Omballa, Center for Global Health Research, Kenya Medical Research Institute, P.O. Box 606-00621, Nairobi, Kenya. E-mail:
<email>vomballa@kemricdc.org</email>
</corresp>
</author-notes>
<pub-date pub-type="ppub">
<day>06</day>
<month>1</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="pmc-release">
<day>06</day>
<month>1</month>
<year>2016</year>
</pub-date>
<pmc-comment> PMC Release delay is 0 months and 0 days and was based on the . </pmc-comment>
<volume>94</volume>
<issue>1</issue>
<fpage>43</fpage>
<lpage>51</lpage>
<history>
<date date-type="received">
<day>30</day>
<month>4</month>
<year>2015</year>
</date>
<date date-type="accepted">
<day>25</day>
<month>9</month>
<year>2015</year>
</date>
</history>
<permissions>
<copyright-statement>©The American Society of Tropical Medicine and Hygiene</copyright-statement>
<copyright-year>2016</copyright-year>
<license license-type="open-access">
<license-p>This is an open-access article distributed under the terms of the
<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License</ext-link>
, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
</license>
</permissions>
<abstract>
<p>Diseases of zoonotic origin contribute to the burden of febrile illnesses in developing countries. We evaluated serologic evidence of exposure to
<italic>Bacillus anthracis</italic>
,
<italic>Brucella</italic>
spp., spotted fever group rickettsioses (SFGR), and typhus group rickettsioses (TGR) from samples of persons aged 15–64 years collected during a nationwide human immunodeficiency virus (HIV) serosurvey conducted in 2007 in Kenya. The seropositivity observed for pathogens was
<italic>B. anthracis</italic>
11.3%,
<italic>Brucella</italic>
spp. 3.0%, SFGR 23.3%, and TGR 0.6%. On univariate analysis, seropositivity for each pathogen was significantly associated with the following risk factors:
<italic>B. anthracis</italic>
with province of residence;
<italic>Brucella</italic>
spp. with sex, education level, and wealth; SFGR with age, education level, wealth, and province of residence; and TGR with province of residence. On multivariate analysis, seropositivity remained significantly associated with wealth and province for
<italic>B. anthracis</italic>
; with sex and age for
<italic>Brucella</italic>
spp; and with sex, education level, and province of residence for SFGR whereas TGR had no significance. High IgG seropositivity to these zoonotic pathogens (especially,
<italic>B. anthracis</italic>
and SFGR) suggests substantial exposure. These pathogens should be considered in the differential diagnosis of febrile illness in Kenya.</p>
</abstract>
</article-meta>
<notes notes-type="disclaimer">
<p>Disclaimer: The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.</p>
</notes>
</front>
<floats-group>
<table-wrap id="T1" position="float">
<label>Table 1</label>
<caption>
<p>Bivariate and multivariate analysis of factors associated with previous exposure to
<italic>Bacillus anthracis</italic>
</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="center" rowspan="1" colspan="1">Variable</th>
<th align="center" rowspan="1" colspan="1">Positive (
<italic>n</italic>
)</th>
<th align="center" rowspan="1" colspan="1">Total (
<italic>N</italic>
)</th>
<th align="center" rowspan="1" colspan="1">% Positive (95% CI)</th>
<th align="center" rowspan="1" colspan="1">Unadjusted OR (95% CI)</th>
<th align="center" rowspan="1" colspan="1">
<italic>P</italic>
value</th>
<th align="center" rowspan="1" colspan="1">G
<italic>P</italic>
value</th>
<th align="center" rowspan="1" colspan="1">AOR (95% CI)</th>
<th align="center" rowspan="1" colspan="1">M
<italic>P</italic>
value</th>
</tr>
</thead>
<tbody>
<tr>
<td colspan="9" rowspan="1">Residence</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Rural</td>
<td rowspan="1" colspan="1">110</td>
<td rowspan="1" colspan="1">784</td>
<td rowspan="1" colspan="1">11.2 (7.8–14.6)</td>
<td rowspan="1" colspan="1">1.0 (0.5–2.0)</td>
<td rowspan="1" colspan="1">0.902</td>
<td rowspan="1" colspan="1">0.902</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Urban</td>
<td rowspan="1" colspan="1">31</td>
<td rowspan="1" colspan="1">307</td>
<td rowspan="1" colspan="1">11.6 (5.2–18.1)</td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td colspan="9" rowspan="1">Sex</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Male</td>
<td rowspan="1" colspan="1">61</td>
<td rowspan="1" colspan="1">430</td>
<td rowspan="1" colspan="1">13.6 (7.8–19.4)</td>
<td rowspan="1" colspan="1">1.4 (0.8–2.5)</td>
<td rowspan="1" colspan="1">0.2139</td>
<td rowspan="1" colspan="1">0.2139</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Female</td>
<td rowspan="1" colspan="1">80</td>
<td rowspan="1" colspan="1">661</td>
<td rowspan="1" colspan="1">9.9 (6.8–13.0)</td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td colspan="9" rowspan="1">Age (in years)</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> 15–29</td>
<td rowspan="1" colspan="1">67</td>
<td rowspan="1" colspan="1">529</td>
<td rowspan="1" colspan="1">11.0 (7.5–14.6)</td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1"> 30–49</td>
<td rowspan="1" colspan="1">54</td>
<td rowspan="1" colspan="1">395</td>
<td rowspan="1" colspan="1">11.4 (5.4–17.4)</td>
<td rowspan="1" colspan="1">1.0 (0.5–2.0)</td>
<td rowspan="1" colspan="1">0.9228</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1"> 50–64</td>
<td rowspan="1" colspan="1">20</td>
<td rowspan="1" colspan="1">167</td>
<td rowspan="1" colspan="1">12.2 (5.8–18.5)</td>
<td rowspan="1" colspan="1">1.12 (0.6–2.2)</td>
<td rowspan="1" colspan="1">0.7571</td>
<td rowspan="1" colspan="1">0.9532</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td colspan="9" rowspan="1">Education level</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> No primary</td>
<td rowspan="1" colspan="1">22</td>
<td rowspan="1" colspan="1">223</td>
<td rowspan="1" colspan="1">7.0 (2.4–11.6)</td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Some primary</td>
<td rowspan="1" colspan="1">47</td>
<td rowspan="1" colspan="1">295</td>
<td rowspan="1" colspan="1">14.5 (10.1–18.9)</td>
<td rowspan="1" colspan="1">
<bold>2.3</bold>
<bold>(1.07</bold>
<bold>4.76)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>0.0322</bold>
<xref ref-type="table-fn" rid="TFN3">
<bold>*</bold>
</xref>
</td>
<td rowspan="1" colspan="1">0.1007</td>
<td rowspan="1" colspan="1">0.91 (0.5–1.67)</td>
<td rowspan="1" colspan="1">0.7693</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Complete primary and secondary+</td>
<td rowspan="1" colspan="1">72</td>
<td rowspan="1" colspan="1">573</td>
<td rowspan="1" colspan="1">11.9 (7.7–16.1)</td>
<td rowspan="1" colspan="1">1.8 (0.9–3.8)</td>
<td rowspan="1" colspan="1">0.1236</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">1.16 (0.56–2.4)</td>
<td rowspan="1" colspan="1">0.6883</td>
</tr>
<tr>
<td colspan="9" rowspan="1">Wealth quintiles</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Lowest</td>
<td rowspan="1" colspan="1">33</td>
<td rowspan="1" colspan="1">234</td>
<td rowspan="1" colspan="1">10.7 (5.9–15.6)</td>
<td rowspan="1" colspan="1">1.99 (0.85–4.66)</td>
<td rowspan="1" colspan="1">0.1145</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">
<bold>4.91 (1.57</bold>
<bold>15.4)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>0.0063</bold>
<xref ref-type="table-fn" rid="TFN3">
<bold>*</bold>
</xref>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Second</td>
<td rowspan="1" colspan="1">44</td>
<td rowspan="1" colspan="1">189</td>
<td rowspan="1" colspan="1">17.1 (7.0–27.2)</td>
<td rowspan="1" colspan="1">
<bold>3.42 (1.26</bold>
<bold>9.28)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>0.016</bold>
<xref ref-type="table-fn" rid="TFN3">
<bold>*</bold>
</xref>
</td>
<td rowspan="1" colspan="1">0.0622</td>
<td rowspan="1" colspan="1">
<bold>5.57 (1.77</bold>
<bold>17.51)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>0.0033</bold>
<xref ref-type="table-fn" rid="TFN3">
<bold>*</bold>
</xref>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Middle</td>
<td rowspan="1" colspan="1">23</td>
<td rowspan="1" colspan="1">188</td>
<td rowspan="1" colspan="1">9.1 (5.1–13.0)</td>
<td rowspan="1" colspan="1">1.65 (0.71–3.83)</td>
<td rowspan="1" colspan="1">0.2466</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">2.0 (0.64–6.19)</td>
<td rowspan="1" colspan="1">0.2312</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Fourth</td>
<td rowspan="1" colspan="1">22</td>
<td rowspan="1" colspan="1">186</td>
<td rowspan="1" colspan="1">18.5 (6.8–30.3)</td>
<td rowspan="1" colspan="1">
<bold>3.77 (1.26</bold>
<bold>11.30)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>0.018</bold>
<xref ref-type="table-fn" rid="TFN3">
<bold>*</bold>
</xref>
</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">
<bold>4.56 (1.15</bold>
<bold>18.14)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>0.0313</bold>
<xref ref-type="table-fn" rid="TFN3">
<bold>*</bold>
</xref>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Highest</td>
<td rowspan="1" colspan="1">19</td>
<td rowspan="1" colspan="1">294</td>
<td rowspan="1" colspan="1">5.7 (2.0–9.4)</td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td colspan="9" rowspan="1">Province</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Nairobi</td>
<td rowspan="1" colspan="1">9</td>
<td rowspan="1" colspan="1">153</td>
<td rowspan="1" colspan="1">9.5 (1.5–17.6)</td>
<td rowspan="1" colspan="1">
<bold>5.46 (1.20</bold>
<bold>24.88)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>0.0281</bold>
<xref ref-type="table-fn" rid="TFN3">
<bold>*</bold>
</xref>
</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">
<bold>18.27 (2.84</bold>
<bold>117.39)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>0.0022</bold>
<xref ref-type="table-fn" rid="TFN3">
<bold>*</bold>
</xref>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Central</td>
<td rowspan="1" colspan="1">10</td>
<td rowspan="1" colspan="1">150</td>
<td rowspan="1" colspan="1">6.4 (2.5–10.3)</td>
<td rowspan="1" colspan="1">3.55 (0.91–13.86)</td>
<td rowspan="1" colspan="1">0.0679</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">
<bold>6.48 (1.34</bold>
<bold>31.36)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>0.0203</bold>
<xref ref-type="table-fn" rid="TFN3">
<bold>*</bold>
</xref>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Coast</td>
<td rowspan="1" colspan="1">20</td>
<td rowspan="1" colspan="1">129</td>
<td rowspan="1" colspan="1">12.8 (6.1–19.5)</td>
<td rowspan="1" colspan="1">
<bold>7.63 (2.01</bold>
<bold>29.04)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>0.0029</bold>
<xref ref-type="table-fn" rid="TFN3">
<bold>*</bold>
</xref>
</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">
<bold>13.39 (3.09</bold>
<bold>57.9)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>0.0005</bold>
<xref ref-type="table-fn" rid="TFN3">
<bold>*</bold>
</xref>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Eastern</td>
<td rowspan="1" colspan="1">11</td>
<td rowspan="1" colspan="1">112</td>
<td rowspan="1" colspan="1">7.3 (2.0–12.7)</td>
<td rowspan="1" colspan="1">4.11 (0.98–17.24)</td>
<td rowspan="1" colspan="1">0.0531</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">
<bold>5.83 (1.24</bold>
<bold>27.35)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>0.0253</bold>
<xref ref-type="table-fn" rid="TFN3">
<bold>*</bold>
</xref>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> North Eastern</td>
<td rowspan="1" colspan="1">7</td>
<td rowspan="1" colspan="1">140</td>
<td rowspan="1" colspan="1">1.9 (0.0–4.1)</td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Nyanza</td>
<td rowspan="1" colspan="1">35</td>
<td rowspan="1" colspan="1">154</td>
<td rowspan="1" colspan="1">21.4 (13.3–29.4)</td>
<td rowspan="1" colspan="1">
<bold>14.09 (3.88</bold>
<bold>51.14)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>< 0.0001</bold>
<xref ref-type="table-fn" rid="TFN3">
<bold>*</bold>
</xref>
</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">
<bold>18.19 (4.41</bold>
<bold>74.91)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>< 0.0001</bold>
<xref ref-type="table-fn" rid="TFN3">
<bold>*</bold>
</xref>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Rift Valley</td>
<td rowspan="1" colspan="1">10</td>
<td rowspan="1" colspan="1">117</td>
<td rowspan="1" colspan="1">11.0 (1.3–20.8)</td>
<td rowspan="1" colspan="1">
<bold>6.44 (1.36</bold>
<bold>30.48)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>0.019</bold>
<xref ref-type="table-fn" rid="TFN3">
<bold>*</bold>
</xref>
</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">
<bold>10.55 (2.32</bold>
<bold>48.03)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>0.0023</bold>
<xref ref-type="table-fn" rid="TFN3">
<bold>*</bold>
</xref>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Western</td>
<td rowspan="1" colspan="1">39</td>
<td rowspan="1" colspan="1">136</td>
<td rowspan="1" colspan="1">27.5 (18.4–36.7)</td>
<td rowspan="1" colspan="1">
<bold>19.71 (5.49–70.84)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>< 0.0001</bold>
<xref ref-type="table-fn" rid="TFN3">
<bold>*</bold>
</xref>
</td>
<td rowspan="1" colspan="1">
<bold>< 0.0001</bold>
<xref ref-type="table-fn" rid="TFN3">
<bold>*</bold>
</xref>
</td>
<td rowspan="1" colspan="1">
<bold>25.41 (6.4–100.92)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>< 0.0001</bold>
<xref ref-type="table-fn" rid="TFN3">
<bold>*</bold>
</xref>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TFN1">
<p>AOR = adjusted odds ratio; CI = confidence interval; REF = reference.</p>
</fn>
<fn id="TFN2">
<p>
<italic>P</italic>
value is the category
<italic>P</italic>
value, G
<italic>P</italic>
value is the global
<italic>P</italic>
value for the bivariate variable, M
<italic>P</italic>
value is the category multivariate
<italic>P</italic>
value.</p>
</fn>
<fn id="TFN3">
<label>*</label>
<p>Bold values have significant
<italic>P</italic>
values.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T2" position="float">
<label>Table 2</label>
<caption>
<p>Bivariate and multivariate analysis of factors associated with previous exposure to
<italic>Brucella</italic>
spp.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="center" rowspan="1" colspan="1">Variable</th>
<th align="center" rowspan="1" colspan="1">Positive (
<italic>n</italic>
)</th>
<th align="center" rowspan="1" colspan="1">Total (
<italic>N</italic>
)</th>
<th align="center" rowspan="1" colspan="1">% Positive (95% CI)</th>
<th align="center" rowspan="1" colspan="1">Unadjusted OR (95% CI)</th>
<th align="center" rowspan="1" colspan="1">
<italic>P</italic>
value</th>
<th align="center" rowspan="1" colspan="1">G
<italic>P</italic>
value</th>
<th align="center" rowspan="1" colspan="1">AOR (95% CI)</th>
<th align="center" rowspan="1" colspan="1">M
<italic>P</italic>
value</th>
</tr>
</thead>
<tbody>
<tr>
<td colspan="9" rowspan="1">Residence</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Rural</td>
<td rowspan="1" colspan="1">26</td>
<td rowspan="1" colspan="1">694</td>
<td rowspan="1" colspan="1">4.2 (1.2–7.1)</td>
<td rowspan="1" colspan="1">
<bold>14.20 (1.74–116.18)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>0.0133</bold>
<xref ref-type="table-fn" rid="TFN6">
<bold>*</bold>
</xref>
</td>
<td rowspan="1" colspan="1">
<bold>0.0133</bold>
<xref ref-type="table-fn" rid="TFN6">
<bold>*</bold>
</xref>
</td>
<td rowspan="1" colspan="1">0.48 (0.0–5.5)</td>
<td rowspan="1" colspan="1">0.5555</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Urban</td>
<td rowspan="1" colspan="1">1</td>
<td rowspan="1" colspan="1">269</td>
<td rowspan="1" colspan="1">0.3 (0.0–0.9)</td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td colspan="9" rowspan="1">Sex</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Male</td>
<td rowspan="1" colspan="1">17</td>
<td rowspan="1" colspan="1">374</td>
<td rowspan="1" colspan="1">5.3 (1.7–8.9)</td>
<td rowspan="1" colspan="1">
<bold>3.49 (1.83–6.63)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>0.0001</bold>
<xref ref-type="table-fn" rid="TFN6">
<bold>*</bold>
</xref>
</td>
<td rowspan="1" colspan="1">
<bold>0.0001</bold>
<xref ref-type="table-fn" rid="TFN6">
<bold>*</bold>
</xref>
</td>
<td rowspan="1" colspan="1">
<bold>4.67 (2.37–9.19)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>< 0.0001</bold>
<xref ref-type="table-fn" rid="TFN6">
<bold>*</bold>
</xref>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Female</td>
<td rowspan="1" colspan="1">10</td>
<td rowspan="1" colspan="1">589</td>
<td rowspan="1" colspan="1">1.6 (0.2–2.9)</td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td colspan="9" rowspan="1">Age (in years)</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> 15–29</td>
<td rowspan="1" colspan="1">11</td>
<td rowspan="1" colspan="1">461</td>
<td rowspan="1" colspan="1">2.9 (0.8–5.1)</td>
<td rowspan="1" colspan="1">1.52 (0.7–3.31)</td>
<td rowspan="1" colspan="1">0.2901</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">
<bold>5.09 (1.53–17.00)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>0.0081</bold>
<xref ref-type="table-fn" rid="TFN6">
<bold>*</bold>
</xref>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> 30–49</td>
<td rowspan="1" colspan="1">9</td>
<td rowspan="1" colspan="1">353</td>
<td rowspan="1" colspan="1">2.0 (0.3–3.6)</td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1"> 50–64</td>
<td rowspan="1" colspan="1">7</td>
<td rowspan="1" colspan="1">149</td>
<td rowspan="1" colspan="1">6.3 (0.3–12.3)</td>
<td rowspan="1" colspan="1">
<bold>3.37 (1.15–9.86)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>0.0265</bold>
<xref ref-type="table-fn" rid="TFN6">
<bold>*</bold>
</xref>
</td>
<td rowspan="1" colspan="1">0.0853</td>
<td rowspan="1" colspan="1">
<bold>3.38 (1.08–10.65)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>0.0371</bold>
<xref ref-type="table-fn" rid="TFN6">
<bold>*</bold>
</xref>
</td>
</tr>
<tr>
<td colspan="9" rowspan="1">Education level</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> No primary</td>
<td rowspan="1" colspan="1">22</td>
<td rowspan="1" colspan="1">202</td>
<td rowspan="1" colspan="1">9.8 (1.4–18.3)</td>
<td rowspan="1" colspan="1">
<bold>15.76 (3.91–63.54)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>0.0001</bold>
<xref ref-type="table-fn" rid="TFN6">
<bold>*</bold>
</xref>
</td>
<td rowspan="1" colspan="1">
<bold>0.0001</bold>
<xref ref-type="table-fn" rid="TFN6">
<bold>*</bold>
</xref>
</td>
<td rowspan="1" colspan="1">
<bold>7.29 (1.48–35.94)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>0.0146</bold>
<xref ref-type="table-fn" rid="TFN6">
<bold>*</bold>
</xref>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Some primary</td>
<td rowspan="1" colspan="1">5</td>
<td rowspan="1" colspan="1">259</td>
<td rowspan="1" colspan="1">0.7 (0. –1.4)</td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Complete primary and secondary+</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td colspan="9" rowspan="1">Wealth quintiles</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Lowest</td>
<td rowspan="1" colspan="1">18</td>
<td rowspan="1" colspan="1">216</td>
<td rowspan="1" colspan="1">10.0 (2.6–17.3)</td>
<td rowspan="1" colspan="1">
<bold>50.1 (5.91–425.07)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>0.0003</bold>
<xref ref-type="table-fn" rid="TFN6">
<bold>*</bold>
</xref>
</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">12.78 (0.74–219.83)</td>
<td rowspan="1" colspan="1">0.0793</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Second</td>
<td rowspan="1" colspan="1">3</td>
<td rowspan="1" colspan="1">166</td>
<td rowspan="1" colspan="1">1.6 (0.0–3.9)</td>
<td rowspan="1" colspan="1">7.52 (0.65–87.22)</td>
<td rowspan="1" colspan="1">0.1067</td>
<td rowspan="1" colspan="1">
<bold>< 0.0001</bold>
<xref ref-type="table-fn" rid="TFN6">
<bold>*</bold>
</xref>
</td>
<td rowspan="1" colspan="1">2.34 (0.11–48.15)</td>
<td rowspan="1" colspan="1">0.5807</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Middle</td>
<td rowspan="1" colspan="1">5</td>
<td rowspan="1" colspan="1">160</td>
<td rowspan="1" colspan="1">2.8 (0.3–5.3)</td>
<td rowspan="1" colspan="1">
<bold>13.1 (1.51–113.51)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>0.0196</bold>
<xref ref-type="table-fn" rid="TFN6">
<bold>*</bold>
</xref>
</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">8.38 (0.48–147.27)</td>
<td rowspan="1" colspan="1">0.1461</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Fourth</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Highest</td>
<td rowspan="1" colspan="1">1</td>
<td rowspan="1" colspan="1">256</td>
<td rowspan="1" colspan="1">0.2 (0.0–0.7)</td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td colspan="9" rowspan="1">Province</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Nairobi</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Central</td>
<td rowspan="1" colspan="1">2</td>
<td rowspan="1" colspan="1">141</td>
<td rowspan="1" colspan="1">1.1 (0.0–2.7)</td>
<td rowspan="1" colspan="1">2.06 (0.18–23.97)</td>
<td rowspan="1" colspan="1">0.5628</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">5.51 (0.50–61.12)</td>
<td rowspan="1" colspan="1">0.1644</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Coast</td>
<td rowspan="1" colspan="1">1</td>
<td rowspan="1" colspan="1">113</td>
<td rowspan="1" colspan="1">1.0 (0.0–2.9)</td>
<td rowspan="1" colspan="1">1.79 (0.11–29.77)</td>
<td rowspan="1" colspan="1">0.6853</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">1.37 (0.06–30.47)</td>
<td rowspan="1" colspan="1">0.8438</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Eastern</td>
<td rowspan="1" colspan="1">1</td>
<td rowspan="1" colspan="1">96</td>
<td rowspan="1" colspan="1">1.5 (0.0–4.3)</td>
<td rowspan="1" colspan="1">2.72 (0.17–44.68)</td>
<td rowspan="1" colspan="1">0.4833</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">2.57 (0.25–25.96)</td>
<td rowspan="1" colspan="1">0.4249</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> North Eastern</td>
<td rowspan="1" colspan="1">20</td>
<td rowspan="1" colspan="1">129</td>
<td rowspan="1" colspan="1">10.3 (0.0–21.8)</td>
<td rowspan="1" colspan="1">
<bold>20.86 (1.99–218.72)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>0.0113</bold>
<xref ref-type="table-fn" rid="TFN6">
<bold>*</bold>
</xref>
</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">5.52 (0.50–61.27)</td>
<td rowspan="1" colspan="1">0.1639</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Nyanza</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Rift Valley</td>
<td rowspan="1" colspan="1">2</td>
<td rowspan="1" colspan="1">106</td>
<td rowspan="1" colspan="1">2.8 (0.0–7.0)</td>
<td rowspan="1" colspan="1">5.29 (0.43–64.39)</td>
<td rowspan="1" colspan="1">0.1916</td>
<td rowspan="1" colspan="1">0.0679</td>
<td rowspan="1" colspan="1">2.97 (0.27–32.00)</td>
<td rowspan="1" colspan="1">0.3705</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Western</td>
<td rowspan="1" colspan="1">1</td>
<td rowspan="1" colspan="1">126</td>
<td rowspan="1" colspan="1">0.5 (0.0–1.6)</td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TFN4">
<p>AOR = adjusted odds ratio; CI = confidence interval; REF = reference.</p>
</fn>
<fn id="TFN5">
<p>
<italic>P</italic>
value is the category
<italic>P</italic>
value, G
<italic>P</italic>
value is the global
<italic>P</italic>
value for the bivariate variable, M
<italic>P</italic>
value is the category multivariate
<italic>P</italic>
value.</p>
</fn>
<fn id="TFN6">
<label>*</label>
<p>Bold values have significant
<italic>P</italic>
values.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T3" position="float">
<label>Table 3</label>
<caption>
<p>Bivariate and multivariate analysis of factors associated with previous exposure to SFGR</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="center" rowspan="1" colspan="1">Variable</th>
<th align="center" rowspan="1" colspan="1">Positive (
<italic>n</italic>
)</th>
<th align="center" rowspan="1" colspan="1">Total (
<italic>N</italic>
)</th>
<th align="center" rowspan="1" colspan="1">% Positive (95% CI)</th>
<th align="center" rowspan="1" colspan="1">Unadjusted OR (95% CI)</th>
<th align="center" rowspan="1" colspan="1">
<italic>P</italic>
value</th>
<th align="center" rowspan="1" colspan="1">G
<italic>P</italic>
value</th>
<th align="center" rowspan="1" colspan="1">Adjusted OR (95% CI)</th>
<th align="center" rowspan="1" colspan="1">M
<italic>P</italic>
value</th>
</tr>
</thead>
<tbody>
<tr>
<td colspan="9" rowspan="1">Residence</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Rural</td>
<td rowspan="1" colspan="1">160</td>
<td rowspan="1" colspan="1">558</td>
<td rowspan="1" colspan="1">26.7 (22.3–31.1)</td>
<td rowspan="1" colspan="1">
<bold>2.29 (1.23–4.24)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>0.0088</bold>
<xref ref-type="table-fn" rid="TFN9">
<bold>*</bold>
</xref>
</td>
<td rowspan="1" colspan="1">
<bold>0.0088</bold>
<xref ref-type="table-fn" rid="TFN9">
<bold>*</bold>
</xref>
</td>
<td rowspan="1" colspan="1">2.33 (0.80–6.77)</td>
<td rowspan="1" colspan="1">0.1211</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Urban</td>
<td rowspan="1" colspan="1">31</td>
<td rowspan="1" colspan="1">212</td>
<td rowspan="1" colspan="1">13.8 (6.9–20.6)</td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td colspan="9" rowspan="1">Sex</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Male</td>
<td rowspan="1" colspan="1">91</td>
<td rowspan="1" colspan="1">317</td>
<td rowspan="1" colspan="1">27.2 (21.5–32.8)</td>
<td rowspan="1" colspan="1">1.45 (0.94–2.23)</td>
<td rowspan="1" colspan="1">0.0937</td>
<td rowspan="1" colspan="1">0.0937</td>
<td rowspan="1" colspan="1">1.80 (1.05–3.06)</td>
<td rowspan="1" colspan="1">
<bold>0.0308</bold>
<xref ref-type="table-fn" rid="TFN9">
<bold>*</bold>
</xref>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Female</td>
<td rowspan="1" colspan="1">100</td>
<td rowspan="1" colspan="1">453</td>
<td rowspan="1" colspan="1">20.5 (15.3–25.7)</td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td colspan="9" rowspan="1">Age (in years)</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> 15–29</td>
<td rowspan="1" colspan="1">88</td>
<td rowspan="1" colspan="1">368</td>
<td rowspan="1" colspan="1">22.7 (17.0–28.3)</td>
<td rowspan="1" colspan="1">1.24 (0.85–1.8)</td>
<td rowspan="1" colspan="1">0.2703</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">1.47 (0.93–2.33)</td>
<td rowspan="1" colspan="1">0.1024</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> 30–49</td>
<td rowspan="1" colspan="1">63</td>
<td rowspan="1" colspan="1">285</td>
<td rowspan="1" colspan="1">19.1 (14.9–23.4)</td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1"> 50–64</td>
<td rowspan="1" colspan="1">40</td>
<td rowspan="1" colspan="1">117</td>
<td rowspan="1" colspan="1">37.7 (19.2–56.2)</td>
<td rowspan="1" colspan="1">
<bold>2.56 (1.15–5.71)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>0.0217</bold>
<xref ref-type="table-fn" rid="TFN9">
<bold>*</bold>
</xref>
</td>
<td rowspan="1" colspan="1">
<bold>0.0361</bold>
<xref ref-type="table-fn" rid="TFN9">
<bold>*</bold>
</xref>
</td>
<td rowspan="1" colspan="1">1.97 (0.81–4.80)</td>
<td rowspan="1" colspan="1">0.1364</td>
</tr>
<tr>
<td colspan="9" rowspan="1">Education level</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> No primary</td>
<td rowspan="1" colspan="1">59</td>
<td rowspan="1" colspan="1">156</td>
<td rowspan="1" colspan="1">36.5 (28.6–44.4)</td>
<td rowspan="1" colspan="1">
<bold>3.56 (2.09–6.08)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>< 0.0001</bold>
<xref ref-type="table-fn" rid="TFN9">
<bold>*</bold>
</xref>
</td>
<td rowspan="1" colspan="1">
<bold>< 0.0001</bold>
<xref ref-type="table-fn" rid="TFN9">
<bold>*</bold>
</xref>
</td>
<td rowspan="1" colspan="1">0.66 (0.15–2.94)</td>
<td rowspan="1" colspan="1">0.5866</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Some primary</td>
<td rowspan="1" colspan="1">60</td>
<td rowspan="1" colspan="1">211</td>
<td rowspan="1" colspan="1">27.4 (19.7–35.1)</td>
<td rowspan="1" colspan="1">
<bold>2.34 (1.42–3.87)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>0.0009</bold>
<xref ref-type="table-fn" rid="TFN9">
<bold>*</bold>
</xref>
</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">8.40 (0.39–182.39)</td>
<td rowspan="1" colspan="1">0.1753</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Complete primary and secondary+</td>
<td rowspan="1" colspan="1">72</td>
<td rowspan="1" colspan="1">403</td>
<td rowspan="1" colspan="1">13.9 (9.6–18.2)</td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td colspan="9" rowspan="1">Wealth quintiles</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Lowest</td>
<td rowspan="1" colspan="1">53</td>
<td rowspan="1" colspan="1">161</td>
<td rowspan="1" colspan="1">30.9 (23.1–38.8)</td>
<td rowspan="1" colspan="1">
<bold>3.24 (1.74–6.03)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>0.0002</bold>
<xref ref-type="table-fn" rid="TFN9">
<bold>*</bold>
</xref>
</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">0.95 (0.27–3.32)</td>
<td rowspan="1" colspan="1">0.9398</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Second</td>
<td rowspan="1" colspan="1">52</td>
<td rowspan="1" colspan="1">147</td>
<td rowspan="1" colspan="1">31.4 (23.8–38.9)</td>
<td rowspan="1" colspan="1">
<bold>3.31 (1.81–6.07)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>0.0001</bold>
<xref ref-type="table-fn" rid="TFN9">
<bold>*</bold>
</xref>
</td>
<td rowspan="1" colspan="1">
<bold>0.0013</bold>
<xref ref-type="table-fn" rid="TFN9">
<bold>*</bold>
</xref>
</td>
<td rowspan="1" colspan="1">0.58 (0.16–2.09)</td>
<td rowspan="1" colspan="1">0.4077</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Middle</td>
<td rowspan="1" colspan="1">34</td>
<td rowspan="1" colspan="1">130</td>
<td rowspan="1" colspan="1">23.1 (15.1–31.1)</td>
<td rowspan="1" colspan="1">
<bold>2.18 (1.16–4.09)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>0.0155</bold>
<xref ref-type="table-fn" rid="TFN9">
<bold>*</bold>
</xref>
</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">0.98 (0.37–2.61)</td>
<td rowspan="1" colspan="1">0.962</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Fourth</td>
<td rowspan="1" colspan="1">25</td>
<td rowspan="1" colspan="1">129</td>
<td rowspan="1" colspan="1">18.2 (8.9–27.4)</td>
<td rowspan="1" colspan="1">1.61 (0.79–3.3)</td>
<td rowspan="1" colspan="1">0.1926</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">0.68 (0.30–1.57)</td>
<td rowspan="1" colspan="1">0.3659</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Highest</td>
<td rowspan="1" colspan="1">27</td>
<td rowspan="1" colspan="1">203</td>
<td rowspan="1" colspan="1">12.1 (6.8–17.5)</td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td colspan="9" rowspan="1">Province</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Nairobi</td>
<td rowspan="1" colspan="1">11</td>
<td rowspan="1" colspan="1">110</td>
<td rowspan="1" colspan="1">10.8 (2.1–19.5)</td>
<td rowspan="1" colspan="1">2.82 (0.73–10.88)</td>
<td rowspan="1" colspan="1">0.1325</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">
<bold>6.84 (1.19–39.27)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>0.0309</bold>
<xref ref-type="table-fn" rid="TFN9">
<bold>*</bold>
</xref>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Central</td>
<td rowspan="1" colspan="1">4</td>
<td rowspan="1" colspan="1">106</td>
<td rowspan="1" colspan="1">4.1 (0.2–8.1)</td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">
<bold>REF</bold>
</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Coast</td>
<td rowspan="1" colspan="1">32</td>
<td rowspan="1" colspan="1">89</td>
<td rowspan="1" colspan="1">39.2 (23.0–55.3)</td>
<td rowspan="1" colspan="1">
<bold>15.00 (4.48–50.21)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>< 0.0001</bold>
<xref ref-type="table-fn" rid="TFN9">
<bold>*</bold>
</xref>
</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">
<bold>13.75 (3.80–49.65)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>< 0.0001</bold>
<xref ref-type="table-fn" rid="TFN9">
<bold>*</bold>
</xref>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Eastern</td>
<td rowspan="1" colspan="1">22</td>
<td rowspan="1" colspan="1">77</td>
<td rowspan="1" colspan="1">29.9 (15.5–44.3)</td>
<td rowspan="1" colspan="1">
<bold>9.92 (2.95–33.41)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>0.0002</bold>
<xref ref-type="table-fn" rid="TFN9">
<bold>*</bold>
</xref>
</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">
<bold>10.51 (2.85–38.75)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>0.0004</bold>
<xref ref-type="table-fn" rid="TFN9">
<bold>*</bold>
</xref>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> North Eastern</td>
<td rowspan="1" colspan="1">29</td>
<td rowspan="1" colspan="1">100</td>
<td rowspan="1" colspan="1">28.2 (21.8–34.6)</td>
<td rowspan="1" colspan="1">
<bold>9.14 (3.20–26.14)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>< 0.0001</bold>
<xref ref-type="table-fn" rid="TFN9">
<bold>*</bold>
</xref>
</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">
<bold>5.10 (1.41–18.51)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>0.0131</bold>
<xref ref-type="table-fn" rid="TFN9">
<bold>*</bold>
</xref>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Nyanza</td>
<td rowspan="1" colspan="1">34</td>
<td rowspan="1" colspan="1">106</td>
<td rowspan="1" colspan="1">25.8 (13.0–38.7)</td>
<td rowspan="1" colspan="1">
<bold>8.11 (2.42–27.03)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>0.0007</bold>
<xref ref-type="table-fn" rid="TFN9">
<bold>*</bold>
</xref>
</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">
<bold>8.90 (2.46–32.22)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>0.0009</bold>
<xref ref-type="table-fn" rid="TFN9">
<bold>*</bold>
</xref>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Rift Valley</td>
<td rowspan="1" colspan="1">12</td>
<td rowspan="1" colspan="1">83</td>
<td rowspan="1" colspan="1">12.8 (1.3–24.2)</td>
<td rowspan="1" colspan="1">3.41 (0.81–14.33</td>
<td rowspan="1" colspan="1">0.0938</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">2.99 (0.68–13.10)</td>
<td rowspan="1" colspan="1">0.147</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Western</td>
<td rowspan="1" colspan="1">47</td>
<td rowspan="1" colspan="1">99</td>
<td rowspan="1" colspan="1">46.1 (34.0–58.2)</td>
<td rowspan="1" colspan="1">
<bold>19.9 (6.54–60.58)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>< 0.0001</bold>
<xref ref-type="table-fn" rid="TFN9">
<bold>*</bold>
</xref>
</td>
<td rowspan="1" colspan="1">
<bold>< 0.0001</bold>
<xref ref-type="table-fn" rid="TFN9">
<bold>*</bold>
</xref>
</td>
<td rowspan="1" colspan="1">
<bold>21.13 (6.03–74.00)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>< 0.0001</bold>
<xref ref-type="table-fn" rid="TFN9">
<bold>*</bold>
</xref>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TFN7">
<p>AOR = adjusted odds ratio; CI = confidence interval; SFGR = spotted fever group rickettsioses; REF = reference.</p>
</fn>
<fn id="TFN8">
<p>
<italic>P</italic>
value is the category
<italic>P</italic>
value, G
<italic>P</italic>
value is the global
<italic>P</italic>
value for the bivariate variable, M
<italic>P</italic>
value is the category multivariate
<italic>P</italic>
value.</p>
</fn>
<fn id="TFN9">
<label>*</label>
<p>Bold values have significant
<italic>P</italic>
values.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T4" position="float">
<label>Table 4</label>
<caption>
<p>Interaction terms fitted into the SFGR model</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="center" rowspan="1" colspan="1">Variable</th>
<th align="center" rowspan="1" colspan="1">AOR (95% CI)</th>
<th align="center" rowspan="1" colspan="1">M
<italic>P</italic>
value</th>
</tr>
</thead>
<tbody>
<tr>
<td colspan="3" rowspan="1">Residence by education level</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Rural/no primary</td>
<td rowspan="1" colspan="1">0.35 (0.025–5.01)</td>
<td rowspan="1" colspan="1">0.4399</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Urban/complete primary and secondary+</td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1">Education level by wealth quintiles</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Lowest/incomplete primary</td>
<td rowspan="1" colspan="1">0.63 (0.11–3.67)</td>
<td rowspan="1" colspan="1">0.606</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Second/incomplete primary</td>
<td rowspan="1" colspan="1">1.55 (0.29–8.31)</td>
<td rowspan="1" colspan="1">0.6097</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Middle/incomplete primary</td>
<td rowspan="1" colspan="1">1.02 (0.20–5.13)</td>
<td rowspan="1" colspan="1">0.9821</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Fourth/incomplete primary</td>
<td rowspan="1" colspan="1">1.19 (0.26–5.39)</td>
<td rowspan="1" colspan="1">0.826</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Lowest/no primary</td>
<td rowspan="1" colspan="1">0.81 (0.02–27.08)</td>
<td rowspan="1" colspan="1">0.9083</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Second/no primary</td>
<td rowspan="1" colspan="1">2.14 (0.06–74.15)</td>
<td rowspan="1" colspan="1">0.6736</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Middle/no primary</td>
<td rowspan="1" colspan="1">0.48 (0.01–17.92)</td>
<td rowspan="1" colspan="1">0.6888</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Fourth/no primary</td>
<td rowspan="1" colspan="1">1.55 (0.14–17.35)</td>
<td rowspan="1" colspan="1">0.7241</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Highest/complete primary and secondary+</td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1">REF</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TFN10">
<p>AOR = adjusted odds ratio; CI = confidence interval; SFGR = spotted fever group rickettsioses; REF = reference.</p>
</fn>
<fn id="TFN11">
<p>M
<italic>P</italic>
value is the category multivariate
<italic>P</italic>
value.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T5" position="float">
<label>Table 5</label>
<caption>
<p>Bivariate and multivariate analysis of factors associated with previous exposure to TGR</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="center" rowspan="1" colspan="1">Variable</th>
<th align="center" rowspan="1" colspan="1">Positive (
<italic>n</italic>
)</th>
<th align="center" rowspan="1" colspan="1">Total (
<italic>N</italic>
)</th>
<th align="center" rowspan="1" colspan="1">% Positive (95% CI)</th>
<th align="center" rowspan="1" colspan="1">Unadjusted OR (95% CI)</th>
<th align="center" rowspan="1" colspan="1">
<italic>P</italic>
value</th>
<th align="center" rowspan="1" colspan="1">G
<italic>P</italic>
value</th>
<th align="center" rowspan="1" colspan="1">AOR (95% CI)</th>
<th align="center" rowspan="1" colspan="1">M
<italic>P</italic>
value</th>
</tr>
</thead>
<tbody>
<tr>
<td colspan="9" rowspan="1">Residence</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Rural</td>
<td rowspan="1" colspan="1">8</td>
<td rowspan="1" colspan="1">558</td>
<td rowspan="1" colspan="1">0.5 (0.1–1.0)</td>
<td rowspan="1" colspan="1">0.5541 (0.1256–2.4452)</td>
<td rowspan="1" colspan="1">0.4357</td>
<td rowspan="1" colspan="1">0.4357</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Urban</td>
<td rowspan="1" colspan="1">4</td>
<td rowspan="1" colspan="1">212</td>
<td rowspan="1" colspan="1">1.0 (0.0–2.2)</td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td colspan="9" rowspan="1">Sex</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Male</td>
<td rowspan="1" colspan="1">3</td>
<td rowspan="1" colspan="1">317</td>
<td rowspan="1" colspan="1">0.5 (0.0–1.1)</td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Female</td>
<td rowspan="1" colspan="1">9</td>
<td rowspan="1" colspan="1">453</td>
<td rowspan="1" colspan="1">0.8 (0.3–1.4)</td>
<td rowspan="1" colspan="1">1.73 (0.48–6.29)</td>
<td rowspan="1" colspan="1">0.4045</td>
<td rowspan="1" colspan="1">0.4045</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td colspan="9" rowspan="1">Age (in years)</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> 15–29</td>
<td rowspan="1" colspan="1">5</td>
<td rowspan="1" colspan="1">368</td>
<td rowspan="1" colspan="1">0.7 (0.2–1.2)</td>
<td rowspan="1" colspan="1">1.93 (0.56–6.72)</td>
<td rowspan="1" colspan="1">0.3002</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1"> 30–49</td>
<td rowspan="1" colspan="1">3</td>
<td rowspan="1" colspan="1">285</td>
<td rowspan="1" colspan="1">0.4 (0.0–0.8)</td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1"> 50–64</td>
<td rowspan="1" colspan="1">4</td>
<td rowspan="1" colspan="1">117</td>
<td rowspan="1" colspan="1">1.5 (0.0–3.4)</td>
<td rowspan="1" colspan="1">4.12 (0.81–20.99)</td>
<td rowspan="1" colspan="1">0.0886</td>
<td rowspan="1" colspan="1">0.229</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td colspan="9" rowspan="1">Education level</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> No primary</td>
<td rowspan="1" colspan="1">5</td>
<td rowspan="1" colspan="1">156</td>
<td rowspan="1" colspan="1">0.9 (0.0–2.0)</td>
<td rowspan="1" colspan="1">1.76 (0.34–9.12)</td>
<td rowspan="1" colspan="1">0.5028</td>
<td rowspan="1" colspan="1">0.794</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Some primary</td>
<td rowspan="1" colspan="1">3</td>
<td rowspan="1" colspan="1">211</td>
<td rowspan="1" colspan="1">0.7 (0.0–1.5)</td>
<td rowspan="1" colspan="1">1.38 (0.25–7.57)</td>
<td rowspan="1" colspan="1">0.7132</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Complete primary and secondary+</td>
<td rowspan="1" colspan="1">4</td>
<td rowspan="1" colspan="1">403</td>
<td rowspan="1" colspan="1">0.5 (0.0–1.2)</td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td colspan="9" rowspan="1">Wealth quintiles</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Lowest</td>
<td rowspan="1" colspan="1">5</td>
<td rowspan="1" colspan="1">161</td>
<td rowspan="1" colspan="1">1.2 (0.1–2.3)</td>
<td rowspan="1" colspan="1">
<bold>7.35 (1.09–49.75)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>0.041</bold>
<xref ref-type="table-fn" rid="TFN14">
<bold>*</bold>
</xref>
</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Second</td>
<td rowspan="1" colspan="1">1</td>
<td rowspan="1" colspan="1">147</td>
<td rowspan="1" colspan="1">0.2 (0.0–0.5)</td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Middle</td>
<td rowspan="1" colspan="1">1</td>
<td rowspan="1" colspan="1">130</td>
<td rowspan="1" colspan="1">0.3 (0.0–0.8)</td>
<td rowspan="1" colspan="1">1.54 (0.09–27.19)</td>
<td rowspan="1" colspan="1">0.7663</td>
<td rowspan="1" colspan="1">0.1108</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Fourth</td>
<td rowspan="1" colspan="1">4</td>
<td rowspan="1" colspan="1">129</td>
<td rowspan="1" colspan="1">1.3 (0.0–3.1)</td>
<td rowspan="1" colspan="1">8.21 (0.69–97.30)</td>
<td rowspan="1" colspan="1">0.0952</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Highest</td>
<td rowspan="1" colspan="1">1</td>
<td rowspan="1" colspan="1">203</td>
<td rowspan="1" colspan="1">0.4 (0.0–1.2)</td>
<td rowspan="1" colspan="1">2.46 (0.14–42.98)</td>
<td rowspan="1" colspan="1">0.5382</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td colspan="9" rowspan="1">Province</td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Nairobi</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Central</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Coast</td>
<td rowspan="1" colspan="1">10</td>
<td rowspan="1" colspan="1">89</td>
<td rowspan="1" colspan="1">7.2 (1.1–13.4)</td>
<td rowspan="1" colspan="1">
<bold>23.16 (2.14</bold>
<bold>250.24)</bold>
</td>
<td rowspan="1" colspan="1">
<bold>0.0097</bold>
<xref ref-type="table-fn" rid="TFN14">
<bold>*</bold>
</xref>
</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Eastern</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1"> North Eastern</td>
<td rowspan="1" colspan="1">1</td>
<td rowspan="1" colspan="1">100</td>
<td rowspan="1" colspan="1">0.3 (0.0–1.1)</td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">REF</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Nyanza</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Rift Valley</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1"> Western</td>
<td rowspan="1" colspan="1">1</td>
<td rowspan="1" colspan="1">99</td>
<td rowspan="1" colspan="1">0.7 (0.0–2.0)</td>
<td rowspan="1" colspan="1">1.94 (0.10–37.96)</td>
<td rowspan="1" colspan="1">0.6601</td>
<td rowspan="1" colspan="1">
<bold>0.0064</bold>
<xref ref-type="table-fn" rid="TFN14">
<bold>*</bold>
</xref>
</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TFN12">
<p>AOR = adjusted odds ratio; CI = confidence interval; TGR = typhus group rickettsioses; REF = reference.</p>
</fn>
<fn id="TFN13">
<p>
<italic>P</italic>
value is the category
<italic>P</italic>
value, G
<italic>P</italic>
value is the global
<italic>P</italic>
value for the bivariate variable, M
<italic>P</italic>
value is the category multivariate
<italic>P</italic>
value.</p>
</fn>
<fn id="TFN14">
<label>*</label>
<p>Bold values have significant
<italic>P</italic>
values.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</pmc>
<affiliations>
<list></list>
<tree>
<noCountry>
<name sortKey="Abudo, Mamo U" sort="Abudo, Mamo U" uniqKey="Abudo M" first="Mamo U." last="Abudo">Mamo U. Abudo</name>
<name sortKey="Breiman, Robert F" sort="Breiman, Robert F" uniqKey="Breiman R" first="Robert F." last="Breiman">Robert F. Breiman</name>
<name sortKey="Fields, Barry S" sort="Fields, Barry S" uniqKey="Fields B" first="Barry S." last="Fields">Barry S. Fields</name>
<name sortKey="Juma, Bonventure W" sort="Juma, Bonventure W" uniqKey="Juma B" first="Bonventure W." last="Juma">Bonventure W. Juma</name>
<name sortKey="Kim, Andrea A" sort="Kim, Andrea A" uniqKey="Kim A" first="Andrea A." last="Kim">Andrea A. Kim</name>
<name sortKey="Montgomery, Joel M" sort="Montgomery, Joel M" uniqKey="Montgomery J" first="Joel M." last="Montgomery">Joel M. Montgomery</name>
<name sortKey="Musyoka, Raymond N" sort="Musyoka, Raymond N" uniqKey="Musyoka R" first="Raymond N." last="Musyoka">Raymond N. Musyoka</name>
<name sortKey="Omballa, Victor O" sort="Omballa, Victor O" uniqKey="Omballa V" first="Victor O." last="Omballa">Victor O. Omballa</name>
<name sortKey="Vittor, Amy Y" sort="Vittor, Amy Y" uniqKey="Vittor A" first="Amy Y." last="Vittor">Amy Y. Vittor</name>
<name sortKey="Wachira, Cyrus M" sort="Wachira, Cyrus M" uniqKey="Wachira C" first="Cyrus M." last="Wachira">Cyrus M. Wachira</name>
<name sortKey="Waiboci, Lilian W" sort="Waiboci, Lilian W" uniqKey="Waiboci L" first="Lilian W." last="Waiboci">Lilian W. Waiboci</name>
<name sortKey="Wamburu, Kabura B" sort="Wamburu, Kabura B" uniqKey="Wamburu K" first="Kabura B." last="Wamburu">Kabura B. Wamburu</name>
</noCountry>
</tree>
</affiliations>
</record>

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