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<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" article-type="research-article" xml:lang="en">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">SAJID</journal-id>
<journal-title-group>
<journal-title>Southern African Journal of Infectious Diseases</journal-title>
</journal-title-group>
<issn pub-type="ppub">2312-0053</issn>
<issn pub-type="epub">2313-1810</issn>
<publisher>
<publisher-name>AOSIS</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">SAJID-35-25</article-id>
<article-id pub-id-type="doi">10.4102/sajid.v35i1.25</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Seroprevalence of <italic>Toxoplasma gondii</italic> infection among pregnant women in Windhoek, Namibia, in 2016</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-7159-5609</contrib-id>
<name>
<surname>van der Colf</surname>
<given-names>Berta E.</given-names>
</name>
<xref ref-type="aff" rid="AF0001">1</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-3021-5101</contrib-id>
<name>
<surname>van Zyl</surname>
<given-names>Gert U.</given-names>
</name>
<xref ref-type="aff" rid="AF0002">2</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-0096-370X</contrib-id>
<name>
<surname>Noden</surname>
<given-names>Bruce H.</given-names>
</name>
<xref ref-type="aff" rid="AF0003">3</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-6278-8134</contrib-id>
<name>
<surname>Ntirampeba</surname>
<given-names>Dismas</given-names>
</name>
<xref ref-type="aff" rid="AF0004">4</xref>
</contrib>
<aff id="AF0001"><label>1</label>Department of Health Sciences, Faculty of Health and Applied Sciences, Namibia University of Science and Technology, Windhoek, Namibia</aff>
<aff id="AF0002"><label>2</label>Division of Medical Virology, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa</aff>
<aff id="AF0003"><label>3</label>Department of Entomology and Plant Pathology, Division of Agricultural Sciences and Natural Resources in the College of Agricultural Sciences and Natural Resources, Oklahoma State University, Stillwater, United States</aff>
<aff id="AF0004"><label>4</label>Department of Mathematics and Statistics, Faculty of Health and Applied Sciences, Namibia University of Science and Technology, Windhoek, Namibia</aff>
</contrib-group>
<author-notes>
<corresp id="cor1"><bold>Corresponding author:</bold> Berta van der Colf, <email xlink:href="evandercolf@nust.na">evandercolf@nust.na</email></corresp>
</author-notes>
<pub-date pub-type="epub"><day>13</day><month>05</month><year>2020</year></pub-date>
<pub-date pub-type="collection"><year>2020</year></pub-date>
<volume>35</volume>
<issue>1</issue>
<elocation-id>25</elocation-id>
<history>
<date date-type="received"><day>13</day><month>05</month><year>2019</year></date>
<date date-type="accepted"><day>16</day><month>01</month><year>2020</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2020. The Authors</copyright-statement>
<copyright-year>2020</copyright-year>
<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
<license-p>Licensee: AOSIS. This work is licensed under the Creative Commons Attribution License.</license-p>
</license>
</permissions>
<abstract>
<sec id="st1">
<title>Background</title>
<p>When a pregnant woman contracts <italic>Toxoplasma gondii</italic> (<italic>T. gondii</italic>) infection during pregnancy, it may be vertically transmitted to the foetus. Information on the incidence of congenital toxoplasmosis (CT) in developing countries is scarce. Most studies focus on the seroprevalence of <italic>T. gondii</italic> infection among pregnant women. This study aimed to determine the seroprevalence of <italic>T. gondii</italic> infection among pregnant women attending public antenatal care in Windhoek, Namibia, in 2016.</p>
</sec>
<sec id="st2">
<title>Methods</title>
<p>In this descriptive study, 344 urban pregnant women attending public antenatal care were voluntarily enrolled in the study. Seroprevalence of anti-<italic>T. gondii</italic> Immunoglobulin G (IgG) was determined by automated immunoassay. Samples with a positive <italic>T. gondii</italic> IgG result were tested for <italic>T. gondii</italic> Immunoglobulin M (IgM) and specific IgG avidity by using an enzyme-linked immunosorbent assay (ELISA) test. A questionnaire captured demographic data and exposure to risk factors. Data were analysed using Statistical Package for the Social Sciences (SPSS) and R.</p>
</sec>
<sec id="st3">
<title>Results</title>
<p>Anti-<italic>T. gondii</italic> IgG was found in nine (2.61&#x0025;) pregnant women. There was no association of anti-<italic>T. gondii</italic> IgG with demographic characteristics or exposure to risk factors.Anti-<italic>T. gondii</italic> IgM was positive in one (0.3&#x0025;) woman, while three (0.9&#x0025;) women had borderline anti-<italic>T. gondii</italic> IgM results. Specific IgG avidity was low, equivocal and high in 0&#x0025;, 33&#x0025; and 67&#x0025; of seropositive pregnant women, respectively.</p>
</sec>
<sec id="st4">
<title>Conclusion</title>
<p>Seroprevalence of anti-<italic>T. gondii</italic> IgG is much lower in Namibia than is reported in other developing countries. Investigation into specific IgM seropositivity and IgG avidity showed that pregnant women in the central region of Namibia are at low risk of vertical transmission and development of CT.</p>
</sec>
</abstract>
<kwd-group>
<kwd><italic>Toxoplasma gondii</italic></kwd>
<kwd>toxoplasmosis</kwd>
<kwd>seroprevalence</kwd>
<kwd>IgG avidity</kwd>
<kwd>pregnant women</kwd>
<kwd>Namibia</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s0001">
<title>Introduction</title>
<p><italic>Toxoplasma gondii</italic> (<italic>T. gondii</italic>) is a protozoan parasite with the only definitive hosts being the cat species. Infection occurs via contamination of soil and water, and the parasite can be found in all warm-blooded vertebrates and some reptiles. Humans are intermediate hosts. Infections in humans occur through the ingestion of raw or undercooked meat, unpasteurised milk or contaminated water or by sharing the environment with cats and inadvertently ingesting oocytes from cat faeces. Toxoplasmosis can be transmitted from a mother to a foetus and can cause deafness, blindness, mental retardation, physical impairment or even stillbirth. If a pregnant woman is diagnosed with <italic>T. gondii</italic> infection, antimicrobial treatment is possible, although the success of the treatment will depend on a number of variables like the dose and the route of administration.<sup><xref ref-type="bibr" rid="CIT0001">1</xref></sup> Congenital toxoplasmosis (CT) may occur in spite of treatment with spiramycin of pregnant women with primary <italic>T. gondii</italic> infection.<sup><xref ref-type="bibr" rid="CIT0002">2</xref></sup> Furthermore, spiramycin is not available in the public or the private sector in Namibia.</p>
<sec id="s20002">
<title>Congenital toxoplasmosis</title>
<p>Immunocompetent and immunocompromised women contracting <italic>T. gondii</italic> infection for the first time during pregnancy run a risk of transmitting the infection to the foetus because of the parasite crossing the placenta from the maternal blood. A host that is immunocompetent acquires life-long immunity against toxoplasmosis when infected with <italic>T. gondii</italic>. A new <italic>T. gondii</italic> infection contracted 4&#x2013;6 months before conception will usually not result in mother-to-child transmission of toxoplasmosis on subsequent exposures. In immunocompromised women who are positive for human immunodeficiency virus (HIV), <italic>T. gondii</italic> infection may reactivate with resulting vertical transmission.<sup><xref ref-type="bibr" rid="CIT0003">3</xref>,<xref ref-type="bibr" rid="CIT0004">4</xref></sup> In a study in Brazil, 28&#x0025; of <italic>T. gondii</italic> Immunoglobulin M (IgM)-positive pregnant women with unknown HIV status transmitted the infection vertically.<sup><xref ref-type="bibr" rid="CIT0002">2</xref></sup></p>
<p>Only about 30&#x0025; of infants born to mothers who had seroconversion in pregnancy acquire prenatal infection. If the infection in a pregnant woman is not treated, the risk of intrauterine infection increases with gestational age, that is, from 14&#x0025; for primary maternal infection in the first trimester to 59&#x0025; for primary maternal infection in the last trimester.<sup><xref ref-type="bibr" rid="CIT0003">3</xref></sup> When the primary infection occurs during advanced gestation, the risk of transmission to the foetus is higher. However, when transmission occurs early in gestation, the risk of symptomatic infection and severe disease is high.<sup><xref ref-type="bibr" rid="CIT0005">5</xref></sup> Clinical signs of toxoplasmosis in neonates include the classical triad, namely, intracranial calcification, hydrocephalus and retinochoroiditis. About 10&#x0025; of prenatal infections result in abortion or neonatal death. The surviving infants suffer from progressive neurologic complications like mental retardation, learning problems, hearing and visual impairment or seizures and have special care and education needs. Children who have been infected before birth might be asymptomatic at birth but may develop complications associated with toxoplasmosis later in life.<sup><xref ref-type="bibr" rid="CIT0003">3</xref>,<xref ref-type="bibr" rid="CIT0006">6</xref>,<xref ref-type="bibr" rid="CIT0007">7</xref></sup> Clinical trials indicate that early treatment of these children can decrease manifestations of disease and improve the quality of life.<sup><xref ref-type="bibr" rid="CIT0003">3</xref></sup></p>
<p>Congenital toxoplasmosis can best be prevented by ensuring that pregnant women who are seronegative do not get infected, or by treatment of pregnant women who are diagnosed with a primary infection, as evident from seroconversion, T. <italic>gondii</italic> Immunoglobulin M (IgM) positivity and low Immunoglobulin G (IgG) avidity. Screening programmes for toxoplasmosis have been introduced in many European countries and in the United States. These include either diagnosis of primary maternal infection with <italic>T. gondii</italic> during pregnancy or detection of congenital infections in neonates at birth.<sup><xref ref-type="bibr" rid="CIT0003">3</xref></sup> No routine screening for <italic>T. gondii</italic> is done in Namibia, and only two previous studies were conducted to determine the prevalence of toxoplasmosis among blood donors.<sup><xref ref-type="bibr" rid="CIT0008">8</xref>,<xref ref-type="bibr" rid="CIT0009">9</xref></sup> The aim of this study was to determine the prevalence of antibodies to <italic>T. gondii</italic> among urban pregnant women attending public antenatal care in Windhoek, Namibia, from September to October 2016.</p>
</sec>
</sec>
<sec id="s0003">
<title>Materials and methods</title>
<sec id="s20004">
<title>Study design</title>
<p>This was a descriptive study aiming to describe the seroprevalence of <italic>T. gondii</italic> among pregnant women in Windhoek.</p>
</sec>
<sec id="s20005">
<title>Sample size</title>
<p>At an expected prevalence of 6&#x0025; of <italic>T. gondii</italic> infection, using Cochran&#x2019;s formula, a sample size of 542 would provide a precision (error margin, above and below the prevalence estimate) of 2&#x0025;. Estimated prevalence was based on two previous publications in Namibia and the seroprevalence in neighbouring South Africa. Funding was available to enrol 344 participants in the study.</p>
</sec>
<sec id="s20006">
<title>Exclusion and inclusion criteria</title>
<p>All pregnant women who attended public antenatal care in Windhoek, from 12 September to 11 October 2016, were informed about the study, and all women who were identified by the clinic to have their blood drawn for routine antenatal testing were eligible to participate. Five participants were excluded because of not signing the consent form by omission and one Ovahimba woman was excluded because of not understanding English or Afrikaans.</p>
</sec>
<sec id="s20007">
<title>Sample collection</title>
<p>Participation in the study was voluntary, and written consent was obtained from each participant and guardian, where applicable. A venous blood sample was collected from each consenting participant and transported immediately to the testing laboratory. A questionnaire was administered to collect information on demographic characteristics and exposure to risk factors, and was filled by consenting participants. Questions were derived from the literature.</p>
</sec>
<sec id="s20008">
<title>Sample storage</title>
<p>Blood samples were transported to the laboratory within an hour. Serum was stored for not more than a week at 2&#x00BA;C &#x2013; 8&#x00BA;C and then at -80&#x00BA;C until testing.</p>
</sec>
<sec id="s20009">
<title>Laboratory methods</title>
<p>An automated chemiluminescent microparticle immunoassay was performed in an ISO 15189 accredited laboratory to determine seroprevalence of IgG antibodies to <italic>T. gondii</italic> (access immunoassay systems, Beckman Coulter Eurocenter SA, 22 rue Juste-Olivier, Case Postale 1044, CH &#x2013; 1260 Nyon 1, Switzerland). The presence of anti-<italic>T. gondii</italic> IgM antibodies was determined in samples testing positive for specific IgG using the ELISA method (Euroimmun Medizinische Labordiagnostika, D-23560 Lubeck, Seekamp 31, Germany). Cut-off points were calculated by using the ratio of the extinction of the control or patient sample to the extinction of the calibrator. The extinction value of the calibrator defined the cut-off value as recommended by the manufacturer. IgG avidity was determined in samples testing positive for specific IgG by performing a manual ELISA test with urea neutralisation (Euroimmun).</p>
<p>For interpretation of IgG results, recommendations from the manufacturer were followed. Specimens with specific IgG concentration of &#x003E; 10.5 IU/mL were considered positive for <italic>T. gondii</italic> past or current infection. Acute infection with <italic>T. gondii</italic> was determined by the presence of anti-<italic>T. gondii</italic> IgM antibodies, and specific IgG antibodies with low avidity. Recommendations from the manufacturer were followed for interpretation of results. For interpretation of IgM results, an extinction ratio (sample relative to calibrator) of &#x003C;0.8 was considered negative, &#x2265;0.8 to &#x003C;1.1 was borderline and &#x2265;1.1 was considered positive. For interpretation of avidity results, the ratio of the enzyme immunoassay optical density when urea-treated relative to untreated was used. Low avidity was defined as a ratio of &#x003C;40&#x0025;, which was indicative of acute <italic>T. gondii</italic> infection. A ratio of 40&#x0025; &#x2013; 60&#x0025; was considered equivocal, while a ratio above 60&#x0025; was an indication of high avidity antibodies.</p>
</sec>
<sec id="s20010">
<title>Data analysis</title>
<p>Association of demographic characteristics (maternal age, gestational age and parity) with seroprevalence of <italic>T. gondii</italic> infection among pregnant women was investigated. Association of risk factors (water source, living with cats or dogs, blood transfusion, as well as consumption of untreated water, unpasteurised cow&#x2019;s milk, goat&#x2019;s milk, raw or undercooked meat or unwashed fruit/vegetables) with seroprevalence of <italic>T. gondii</italic> infection was investigated. A case-based description of anti-<italic>T. gondii</italic> IgG and IgM seropositivity and IgG avidity was provided for nine participants who tested IgG positive. Seropositivity among five age groups was evaluated with the assumption that all age groups had had similar exposure to <italic>T. gondii</italic>. All data were entered into an Excel spreadsheet (Microsoft Corporation, One Microsoft Way, Redmond, WA 98052-7329) and analysed using Statistical Package for the Social Sciences statistical software (version 24, IBM North America, 590 Madison Avenue, New York, NY 10022) and R version 3.2.2.<sup><xref ref-type="bibr" rid="CIT0010">10</xref></sup> Chi-square test and Fisher&#x2019;s exact test (when the expected frequency in any cell of the two-by-two table was less than 5) were used to assess associations between population characteristics provided in the surveys and seropositivity results. Multivariate analysis was performed with generalised linear models using binary logistic regression. Beta values were used to calculate odds ratios of variables, while the Wald 95&#x0025; confidence intervals gave an indication of the width of the odds ratios; <italic>p-</italic>values less than 0.05 were considered statistically significant.</p>
</sec>
<sec id="s20011">
<title>Ethical consideration</title>
<p>Ethical approval to conduct the study was obtained from the School of Health and Applied Sciences, Polytechnic of Namibia; the Ministry of Health and Social Services in Namibia; and the Health Research Ethics Committee at Stellenbosch University, Cape Town, South Africa.</p>
</sec>
</sec>
<sec id="s0012">
<title>Results</title>
<p>A total of 344 pregnant women donated a blood sample and filled the questionnaire. Maternal age at enrolment ranged between 17 and 47 years with the median age of 27 years. All but two women were residing in an urban area. Forty-one women (11.9&#x0025;) were in the first trimester, 172 (50&#x0025;) in the second trimester and 130 (37.8&#x0025;) in the third trimester of pregnancy during enrolment in the study. A total of 129 women (37.5&#x0025;) were primigravidae, 100 (29.1&#x0025;) had one previous pregnancy, while 115 (33.4&#x0025;) had had two or more previous pregnancies.</p>
<p>The overall seroprevalence of anti-<italic>T. gondii</italic> IgG among pregnant women attending public antenatal care in Windhoek was 2.61&#x0025; (<xref ref-type="table" rid="T0001">Table 1</xref>). The overall susceptibility to <italic>T. gondii</italic> infection was high (<italic>n</italic> = 335; 97.4&#x0025;). There was no statistically significant difference between seroprevalence of anti-<italic>T. gondii</italic> IgG in different age groups. There was no statistically significant difference between the occurrences of anti-<italic>T. gondii</italic> IgG in different trimesters of pregnancy. There was no statistically significant difference between the occurrences of anti-<italic>T. gondii</italic> IgG in different parities although the highest observed seroprevalence was in primigravida cases.</p>
<table-wrap id="T0001">
<label>TABLE 1</label>
<caption><p>Association of demographic characteristics with seroprevalence of <italic>Toxoplasma gondii</italic> among urban pregnant women (<bold><italic>N</italic></bold> = 344) attending public antenatal care in Windhoek, Namibia, 2016.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Demographic characteristic</th>
<th valign="top" align="center" rowspan="2"><italic>N</italic></th>
<th valign="top" align="center" colspan="2">IgG +<xref ref-type="table-fn" rid="TFN0001">&#x2020;</xref><hr/></th>
<th valign="top" align="center" rowspan="2">Bivariate <italic>p</italic>-value</th>
<th valign="top" align="center" rowspan="2">Multivariate <italic>p</italic>-value</th>
<th valign="top" align="center" rowspan="2">Odds ratio<xref ref-type="table-fn" rid="TFN0002">&#x2021;</xref></th>
<th valign="top" align="center" rowspan="2">95&#x0025; CI<xref ref-type="table-fn" rid="TFN0003">&#x00A7;</xref></th>
</tr>
<tr>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left"><bold>Overall</bold></td>
<td align="center">344</td>
<td align="center">9</td>
<td align="center">2.61</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left" colspan="8"><bold>Maternal age</bold></td>
</tr>
<tr>
<td align="left">15&#x2012;20</td>
<td align="center">38</td>
<td align="center">0</td>
<td align="center">0.00</td>
<td align="center">0.383</td>
<td align="center">0.211</td>
<td align="center">1.08</td>
<td align="center">&#x2212;0.046&#x2013;0.209</td>
</tr>
<tr>
<td align="left">21&#x2012;25</td>
<td align="center">108</td>
<td align="center">3</td>
<td align="center">2.78</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">26&#x2012;30</td>
<td align="center">96</td>
<td align="center">5</td>
<td align="center">5.21</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">31&#x2012;35</td>
<td align="center">59</td>
<td align="center">0</td>
<td align="center">0.00</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">36&#x2012;47</td>
<td align="center">43</td>
<td align="center">1</td>
<td align="center">2.33</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left" colspan="8"><bold>Gestational age</bold></td>
</tr>
<tr>
<td align="left">1st trimester</td>
<td align="center">41</td>
<td align="center">0</td>
<td align="center">0.00</td>
<td align="center">0.793</td>
<td align="center">0.999</td>
<td align="center">N/A<xref ref-type="table-fn" rid="TFN0004">&#x00B6;</xref></td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">2nd trimester</td>
<td align="center">172</td>
<td align="center">5</td>
<td align="center">2.91</td>
<td align="center">-</td>
<td align="center">0.796</td>
<td align="center">0.84</td>
<td align="center">&#x2212;1.533&#x2012;1.176</td>
</tr>
<tr>
<td align="left">3rd trimester</td>
<td align="center">130</td>
<td align="center">4</td>
<td align="center">3.08</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left"><bold>Primigravida</bold></td>
<td align="center">129</td>
<td align="center">6</td>
<td align="center">4.65</td>
<td align="center">0.220</td>
<td align="center">0.048</td>
<td align="center">12.16</td>
<td align="center">0.022&#x2012;4.973</td>
</tr>
<tr>
<td align="left">1 previous pregnancy</td>
<td align="center">100</td>
<td align="center">2</td>
<td align="center">2.00</td>
<td align="center">-</td>
<td align="center">0.334</td>
<td align="center">3.41</td>
<td align="center">&#x2212;1.262&#x2012;3.713</td>
</tr>
<tr>
<td align="left">&#x2265; 2 previous pregnancies</td>
<td align="center">115</td>
<td align="center">1</td>
<td align="center">0.87</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TFN0001"><label>&#x2020;</label><p>, Including borderline positive results;</p></fn>
<fn id="TFN0002"><label>&#x2021;</label><p>, Adjusted odds ratio was not calculated since no predictor was statistically significant;</p></fn>
<fn id="TFN0003"><label>&#x00A7;</label><p>, Ninety-five percent Wald confidence interval of the odds ratio;</p></fn>
<fn id="TFN0004"><label>&#x00B6;</label><p>, Not available since one predictor equals zero.</p></fn>
<fn><p>N/A, not applicable.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>This study found no association between risk factors and seropositivity of anti-<italic>T. gondii</italic> IgG in pregnant women (<xref ref-type="table" rid="T0002">Table 2</xref>). Results showed that none of own tap versus communal tap as water source, living with cats or dogs, or blood transfusion was associated with seroprevalence of <italic>T. gondii</italic> infection. Consumption of water from a dam or river; unpasteurised cow&#x2019;s milk and goat&#x2019;s milk; raw/undercooked meat or unwashed fruit/vegetables were not identified as risk factors for <italic>T. gondii</italic> exposure.</p>
<table-wrap id="T0002">
<label>TABLE 2</label>
<caption><p>Association of risk factors with seroprevalence of <italic>Toxoplasma gondii</italic> among urban pregnant women (<italic>N</italic> = 344) attending public antenatal care in Windhoek, Namibia, 2016.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Risk factor</th>
<td align="center" rowspan="2"><italic>N</italic></td>
<th valign="top" align="center" colspan="2">IgG +<xref ref-type="table-fn" rid="TFN0005">&#x2020;</xref><hr/></th>
<th valign="top" align="center" rowspan="2">Bivariate <italic>p</italic>-value</th>
<th valign="top" align="center" rowspan="2">Multivariate <italic>p</italic>-value</th>
<th valign="top" align="center" rowspan="2">Odds ratio<xref ref-type="table-fn" rid="TFN0006">&#x2021;</xref></th>
<th valign="top" align="center" rowspan="2">95&#x0025; CI<xref ref-type="table-fn" rid="TFN0007">&#x00A7;</xref></th>
</tr>
<tr>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center"><italic>&#x0025;</italic></th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left" colspan="8"><bold>Water source</bold></td>
</tr>
<tr>
<td align="left">Own tap</td>
<td align="center">226</td>
<td align="center">9</td>
<td align="center">3.98</td>
<td align="center">0.185</td>
<td align="center">0.998</td>
<td align="center">N/A<xref ref-type="table-fn" rid="TFN0008">&#x00B6;</xref></td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Communal tap</td>
<td align="center">114</td>
<td align="center">0</td>
<td align="center">0.00</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left" colspan="8"><bold>Live with cats</bold></td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="center">45</td>
<td align="center">0</td>
<td align="center">0.00</td>
<td align="center">0.612</td>
<td align="center">0.999</td>
<td align="center">N/A</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">No</td>
<td align="center">299</td>
<td align="center">9</td>
<td align="center">3.01</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left" colspan="8"><bold>Live with dogs</bold></td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="center">122</td>
<td align="center">4</td>
<td align="center">3.28</td>
<td align="center">0.726</td>
<td align="center">0.787</td>
<td align="center">1.24</td>
<td align="center">&#x2212;1.349&#x2212;1.779</td>
</tr>
<tr>
<td align="left">No</td>
<td align="center">222</td>
<td align="center">5</td>
<td align="center">2.25</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left" colspan="8"><bold>Received a blood transfusion</bold></td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="center">6</td>
<td align="center">1</td>
<td align="center">16.67</td>
<td align="center">0.172</td>
<td align="center">0.417</td>
<td align="center">3.55</td>
<td align="center">&#x2212;1.794&#x2212;4.331</td>
</tr>
<tr>
<td align="left">No</td>
<td align="center">327</td>
<td align="center">8</td>
<td align="center">2.45</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left" colspan="8"><bold>Consumption</bold></td>
</tr>
<tr>
<td align="left" colspan="8"><bold>Water from dam or river</bold></td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="center">55</td>
<td align="center">3</td>
<td align="center">5.45</td>
<td align="center">0.160</td>
<td align="center">0.088</td>
<td align="center">4.75</td>
<td align="center">&#x2212;0.235&#x2212;3.352</td>
</tr>
<tr>
<td align="left">No</td>
<td align="center">289</td>
<td align="center">6</td>
<td align="center">2.08</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left" colspan="8"><bold>Unpasteurized cow&#x2019;s milk</bold></td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="center">39</td>
<td align="center">3</td>
<td align="center">7.69</td>
<td align="center">0.070</td>
<td align="center">0.052</td>
<td align="center">7.30</td>
<td align="center">&#x2212;0.017&#x2212;3.992</td>
</tr>
<tr>
<td align="left">No</td>
<td align="center">305</td>
<td align="center">6</td>
<td align="center">1.97</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left" colspan="8"><bold>Goat&#x2019;s milk</bold></td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="center">7</td>
<td align="center">1</td>
<td align="center">14.29</td>
<td align="center">0.171</td>
<td align="center">0.703</td>
<td align="center">1.87</td>
<td align="center">&#x2212;2.590&#x2212;3.838</td>
</tr>
<tr>
<td align="left">No</td>
<td align="center">337</td>
<td align="center">8</td>
<td align="center">2.37</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left" colspan="8"><bold>Raw or undercooked meat</bold></td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="center">97</td>
<td align="center">2</td>
<td align="center">2.06</td>
<td align="center">1.000</td>
<td align="center">0.323</td>
<td align="center">2.71</td>
<td align="center">&#x2212;0.981&#x2212;2.972</td>
</tr>
<tr>
<td align="left">No</td>
<td align="center">247</td>
<td align="center">7</td>
<td align="center">2.83</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left" colspan="8"><bold>Unwashed fruit and/or vegetables</bold></td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="center">83</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">0.121</td>
<td align="center">0.998</td>
<td align="center">N/A</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">No</td>
<td align="center">261</td>
<td align="center">9</td>
<td align="center">3.45</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TFN0005"><label>&#x2020;</label><p>, Including borderline positive results;</p></fn>
<fn id="TFN0006"><label>&#x2021;</label><p>, Adjusted odds ratio was not calculated since no predictor was statistically significant;</p></fn>
<fn id="TFN0007"><label>&#x00A7;</label><p>, Ninety-five percent Wald confidence interval of the odds ratio;</p></fn>
<fn id="TFN0008"><label>&#x00B6;</label><p>, Not available since one predictor equals zero.</p></fn>
<fn><p>N/A, not applicable.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Of the 344 participants, nine (2.61&#x0025;) had a positive anti-<italic>T. gondii</italic> IgG result, while one (0.3&#x0025;) had a positive IgM result and three (0.9&#x0025;) had a borderline-positive IgM result (<xref ref-type="table" rid="T0003">Table 3</xref>). The mean anti-<italic>T. gondii</italic> IgG titre among <italic>T. gondii</italic>-positive pregnant women was 132.1 IU/mL, ranging between 25.9 IU/mL and 298.2 IU/mL. Specific IgG avidity among infected women was low, equivocal and high in 0&#x0025;, 33&#x0025; and 67&#x0025; of positive IgG cases, respectively.</p>
<table-wrap id="T0003">
<label>TABLE 3</label>
<caption><p>Anti-<italic>Toxoplasma gondii</italic> IgG and IgM seropositivity and IgG avidity among pregnant women.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Case</th>
<th valign="top" align="left">IgG IU/mL</th>
<th valign="top" align="left">IgM</th>
<th valign="top" align="left">IgG avidity</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">5015</td>
<td align="left">38.8</td>
<td align="left">Neg</td>
<td align="left">High</td>
</tr>
<tr>
<td align="left">5022</td>
<td align="left">298.2</td>
<td align="left">Neg</td>
<td align="left">High</td>
</tr>
<tr>
<td align="left">5040</td>
<td align="left">168.2</td>
<td align="left">Pos</td>
<td align="left">Equivocal</td>
</tr>
<tr>
<td align="left">5050</td>
<td align="left">144.2</td>
<td align="left">Borderline</td>
<td align="left">Equivocal</td>
</tr>
<tr>
<td align="left">5116</td>
<td align="left">25.9</td>
<td align="left">Borderline</td>
<td align="left">Equivocal</td>
</tr>
<tr>
<td align="left">5145</td>
<td align="left">210.5</td>
<td align="left">Borderline</td>
<td align="left">High</td>
</tr>
<tr>
<td align="left">5164</td>
<td align="left">83.3</td>
<td align="left">Neg</td>
<td align="left">High</td>
</tr>
<tr>
<td align="left">5320</td>
<td align="left">113.6</td>
<td align="left">Neg</td>
<td align="left">High</td>
</tr>
<tr>
<td align="left">5328</td>
<td align="left">106.4</td>
<td align="left">Neg</td>
<td align="left">High</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Neg, negative; Pos, positive; IgG, Immunoglobulin G; IgM, Immunoglobulin M.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s0013">
<title>Discussion</title>
<sec id="s20014">
<title>Seroprevalence of anti-Toxoplasma gondii IgG</title>
<p>Very low seroprevalence of anti-<italic>T. gondii</italic> IgG (2.61&#x0025;) was found among urban pregnant women attending public antenatal care in Windhoek, in 2016. This is comparable to a previous study in Namibia which found 1&#x0025; seroprevalence of anti-<italic>T. gondii</italic> among blood donors.<sup><xref ref-type="bibr" rid="CIT0009">9</xref></sup> Possible reasons for this low seroprevalence could be the arid climate and the high altitude of the capital city, Windhoek.<sup><xref ref-type="bibr" rid="CIT0011">11</xref></sup> Oocysts cannot withstand dry conditions that prevail during extended periods of drought in central Namibia. The worst drought, since recording of rainfall had started, occurred in Namibia in 2016. The seroprevalence of anti-<italic>T. gondii</italic> found in 2016 was lower than the 12.1&#x0025; recorded among blood donors in Windhoek in 1978.<sup><xref ref-type="bibr" rid="CIT0008">8</xref></sup> This finding is in line with the worldwide trend of decreasing seroprevalence of anti-<italic>T. gondii</italic> over the previous decades.<sup><xref ref-type="bibr" rid="CIT0012">12</xref></sup> Factors that could contribute to the decreasing trend are urbanisation, which is accompanied by better access to safe drinking water and abattoirs, as well as increased use of pasteurised cow&#x2019;s milk.</p>
<p>Being the driest African country south of the Sahara, Namibia shows much lower seroprevalence of <italic>T. gondii</italic> infection than in other developing countries (<xref ref-type="table" rid="T0004">Table 4</xref>).<sup><xref ref-type="bibr" rid="CIT0008">8</xref>,<xref ref-type="bibr" rid="CIT0013">13</xref>,<xref ref-type="bibr" rid="CIT0014">14</xref>,<xref ref-type="bibr" rid="CIT0015">15</xref>,<xref ref-type="bibr" rid="CIT0016">16</xref>,<xref ref-type="bibr" rid="CIT0017">17</xref>,<xref ref-type="bibr" rid="CIT0018">18</xref>,<xref ref-type="bibr" rid="CIT0019">19</xref>,<xref ref-type="bibr" rid="CIT0020">20</xref>,<xref ref-type="bibr" rid="CIT0021">21</xref>,<xref ref-type="bibr" rid="CIT0022">22</xref>,<xref ref-type="bibr" rid="CIT0023">23</xref>,<xref ref-type="bibr" rid="CIT0024">24</xref>,<xref ref-type="bibr" rid="CIT0025">25</xref>,<xref ref-type="bibr" rid="CIT0026">26</xref>,<xref ref-type="bibr" rid="CIT0027">27</xref>,<xref ref-type="bibr" rid="CIT0028">28</xref></sup> It is however comparable to seroprevalence in neighbouring South Africa, with which Namibia shares weather patterns.<sup><xref ref-type="bibr" rid="CIT0023">23</xref></sup> The seroprevalence is the same as in Mexico, which has a similar arid climate.<sup><xref ref-type="bibr" rid="CIT0029">29</xref></sup> A review of studies conducted in Africa found a median seroprevalence of <italic>T. gondii</italic> of 37&#x0025;, with rates ranging from 6.4&#x0025; to 74.5&#x0025;.<sup><xref ref-type="bibr" rid="CIT0012">12</xref></sup> Very little is known about the burden of CT in developing countries. In Brazil, Neto et al. found 0.06&#x0025; of neonates being anti-<italic>T. gondii</italic> IgG seropositive.<sup><xref ref-type="bibr" rid="CIT0030">30</xref></sup> It is postulated that the high burden of CT in South America can be attributed to more pathogenic genotypes that circulate in that part of the world.<sup><xref ref-type="bibr" rid="CIT0031">31</xref></sup></p>
<table-wrap id="T0004">
<label>TABLE 4</label>
<caption><p>Seroprevalence of <italic>Toxoplasma gondii</italic> in developing countries.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Country</th>
<th valign="top" align="left">Year published</th>
<th valign="top" align="left">IgG seroprevalence (&#x0025;)</th>
<th valign="top" align="left">Population</th>
<th valign="top" align="left"><italic>N</italic></th>
<th valign="top" align="left">Method</th>
<th valign="top" align="left">Reference</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Namibia</td>
<td align="left">1978</td>
<td align="left">12</td>
<td align="left">Blood donors</td>
<td align="left">261</td>
<td align="left">IFA</td>
<td align="left">Jacobs<sup><xref ref-type="bibr" rid="CIT0008">8</xref></sup></td>
</tr>
<tr>
<td align="left">Sudan</td>
<td align="left">1991</td>
<td align="left">41.7</td>
<td align="left">General population</td>
<td align="left">386</td>
<td align="left">LAT</td>
<td align="left">Abdel-Hameed<sup><xref ref-type="bibr" rid="CIT0013">13</xref></sup></td>
</tr>
<tr>
<td align="left">Benin</td>
<td align="left">1995</td>
<td align="left">53.6</td>
<td align="left">Pregnant women</td>
<td align="left">211</td>
<td align="left">ELISA</td>
<td align="left">Rodier<sup><xref ref-type="bibr" rid="CIT0014">14</xref></sup></td>
</tr>
<tr>
<td align="left">Tanzania</td>
<td align="left">1995</td>
<td align="left">35</td>
<td align="left">Pregnant women</td>
<td align="left">849</td>
<td align="left">Sabin-Feldman dye test</td>
<td align="left">Doehring<sup><xref ref-type="bibr" rid="CIT0015">15</xref></sup></td>
</tr>
<tr>
<td align="left">India</td>
<td align="left">2004</td>
<td align="left"><list list-type="bullet">
<list-item><p>IgG 45</p></list-item>
<list-item><p>IgM 3.3</p></list-item>
<list-item><p>1.1 low avidity</p></list-item></list></td>
<td align="left">Pregnant women</td>
<td align="left">180</td>
<td align="left">ELISA</td>
<td align="left">Singh<sup><xref ref-type="bibr" rid="CIT0016">16</xref></sup></td>
</tr>
<tr>
<td align="left">Ethiopia</td>
<td align="left">2007</td>
<td align="left">60</td>
<td align="left">Urban population</td>
<td align="left">65</td>
<td align="left">MDAT</td>
<td align="left">Negash<sup><xref ref-type="bibr" rid="CIT0017">17</xref></sup></td>
</tr>
<tr>
<td align="left">Nigeria</td>
<td align="left">2007</td>
<td align="left">20.8</td>
<td align="left">Healthy individuals</td>
<td align="left">144</td>
<td align="left">-</td>
<td align="left">Uneke<sup><xref ref-type="bibr" rid="CIT0018">18</xref></sup></td>
</tr>
<tr>
<td align="left">Tanzania</td>
<td align="left">2009</td>
<td align="left">46</td>
<td align="left">Occupationally exposed</td>
<td align="left">199</td>
<td align="left">LAT</td>
<td align="left">Swai<sup><xref ref-type="bibr" rid="CIT0019">19</xref></sup></td>
</tr>
<tr>
<td align="left">Brazil</td>
<td align="left">2010</td>
<td align="left"><list list-type="bullet">
<list-item><p>IgG 62</p></list-item>
<list-item><p>IgM 3.4</p></list-item></list></td>
<td align="left">Pregnant women</td>
<td align="left">574</td>
<td align="left">Patient records</td>
<td align="left">Dos Santos Goncalves<sup><xref ref-type="bibr" rid="CIT0020">20</xref></sup></td>
</tr>
<tr>
<td align="left">Gabon</td>
<td align="left">2010</td>
<td align="left">56</td>
<td align="left">Pregnant women</td>
<td align="left">839</td>
<td align="left">ELFA</td>
<td align="left">Mickoto<sup><xref ref-type="bibr" rid="CIT0021">21</xref></sup></td>
</tr>
<tr>
<td align="left">Mozambique</td>
<td align="left">2010</td>
<td align="left">18.7</td>
<td align="left">Pregnant women</td>
<td align="left">150</td>
<td align="left">ELISA</td>
<td align="left">Sitoe<sup><xref ref-type="bibr" rid="CIT0022">22</xref></sup></td>
</tr>
<tr>
<td align="left">South Africa</td>
<td align="left">2011</td>
<td align="left">6.4</td>
<td align="left">General population</td>
<td align="left">376</td>
<td align="left">LAT</td>
<td align="left">Kistiah<sup><xref ref-type="bibr" rid="CIT0023">23</xref></sup></td>
</tr>
<tr>
<td align="left">Nigeria</td>
<td align="left">2011</td>
<td align="left"><list list-type="bullet">
<list-item><p>IgG 32.6</p></list-item>
<list-item><p>IgM 7.6</p></list-item></list></td>
<td align="left">Pregnant women</td>
<td align="left">276</td>
<td align="left">ELISA</td>
<td align="left">Deji-Agboola<sup><xref ref-type="bibr" rid="CIT0024">24</xref></sup></td>
</tr>
<tr>
<td align="left">Egypt</td>
<td align="left">2012</td>
<td align="left"><list list-type="bullet"><list-item><p>IgG 67.5</p></list-item>
<list-item><p>IgM 2.8</p></list-item>
<list-item><p>0.3 low avidity</p></list-item></list></td>
<td align="left">Pregnant women</td>
<td align="left">323</td>
<td align="left">ELFA</td>
<td align="left">El Deeb<sup><xref ref-type="bibr" rid="CIT0025">25</xref></sup></td>
</tr>
<tr>
<td align="left">Benin</td>
<td align="left">2014</td>
<td align="left"><list list-type="bullet">
<list-item><p>IgG 30</p></list-item>
<list-item><p>IgM 0.4</p></list-item></list></td>
<td align="left">Pregnant women</td>
<td align="left">283</td>
<td align="left">ELISA</td>
<td align="left">De Paschale<sup><xref ref-type="bibr" rid="CIT0026">26</xref></sup></td>
</tr>
<tr>
<td align="left">Congo</td>
<td align="left">2014</td>
<td align="left"><list list-type="bullet">
<list-item><p>IgG 80.3</p></list-item>
<list-item><p>IgM 4.4</p></list-item>
<list-item><p>11.8 low avidity</p></list-item></list></td>
<td align="left">Pregnant women</td>
<td align="left">781</td>
<td align="left">ELFA</td>
<td align="left">Doudou<sup><xref ref-type="bibr" rid="CIT0027">27</xref></sup></td>
</tr>
<tr>
<td align="left">Namibia</td>
<td align="left">2014</td>
<td align="left">1.0</td>
<td align="left">Blood donors</td>
<td align="left">320</td>
<td align="left">ELISA</td>
<td align="left">Van der Colf<sup><xref ref-type="bibr" rid="CIT0009">9</xref></sup></td>
</tr>
<tr>
<td align="left">Ethiopia</td>
<td align="left">2015</td>
<td align="left">18.5</td>
<td align="left">Pregnant women</td>
<td align="left">384</td>
<td align="left">LAT</td>
<td align="left">Awoke<sup><xref ref-type="bibr" rid="CIT0028">28</xref></sup></td>
</tr>
<tr>
<td align="left">Mexico</td>
<td align="left">2018</td>
<td align="left">3.6</td>
<td align="left">Women of reproductive age</td>
<td align="left">445</td>
<td align="left">ELISA</td>
<td align="left">Alvarado-Esquivel<sup><xref ref-type="bibr" rid="CIT0029">29</xref></sup></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Note: Please see the full reference list of the article, Van der Colf BE, Van Zyl GU, Noden BH, Ntirampeba D. Seroprevalence of Toxoplasma gondii infection among pregnant women in Windhoek, Namibia, in 2016. S Afr J Infect Dis. 2020;35(1), a25. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.4102/sajid.v35i1.25">https://doi.org/10.4102/sajid.v35i1.25</ext-link>, for more information.</p></fn>
<fn><p>IgG, Immunoglobulin G; IgM, Immunoglobulin M, IFA, Immunofluorescence Assay; LAT, Latex agglutination test; ELISA, Enzyme-linked immunosorbent assay; MDAT, Agglutination test; ELFA, Enzyme-linked fluorescence assay.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>In Windhoek, 97.4&#x0025; of pregnant women attending public antenatal care remain susceptible to <italic>T. gondii</italic>, posing a risk of vertical transmission and CT if they get infected while pregnant. Infection pressure is, however, low &#x2013; a large population is at risk, but the probability of exposure is low. In hyperendemic settings, acquisition and immunity are likely before women get pregnant, whereas models suggest that when the incidence of <italic>T. gondii</italic> infection among pregnant women is 4&#x0025; per annum, the risk of seroconversion during pregnancy and occurrence of CT would be the highest. This correlates with a susceptibility of 40&#x0025; among pregnant women, which is much lower than the susceptibility found in this study.<sup><xref ref-type="bibr" rid="CIT0031">31</xref></sup></p>
</sec>
<sec id="s20015">
<title>Factors associated with seropositivity</title>
<p>There was no significant difference in prevalence of anti-<italic>T. gondii</italic> IgG among the five different age groups of pregnant women. Seroprevalence linearly increased in the lowest three age groups (15&#x2013;20 years, 21&#x2013;25 years and 26&#x2013;30 years), only to decrease in older women (31&#x2013;47 years) (<xref ref-type="table" rid="T0001">Table 1</xref>). Seroprevalence of anti-<italic>T. gondii</italic> IgG increased with gestational age although the difference was not statistically significant. Primigravidae showed the highest seroprevalence of anti-<italic>T. gondii</italic> IgG, which is in line with the finding of higher seroprevalence among younger women.</p>
<p>There was no significant association between risk factors and seroprevalence of <italic>T. gondii</italic> (<xref ref-type="table" rid="T0002">Table 2</xref>). Surprisingly, participants with access to own tap showed the highest seroprevalence of <italic>T. gondii</italic>. However, this association was not significant. Another interesting finding was the lack of association between consumption of unwashed fruit or vegetables and seropositivity, while 3.45&#x0025; of participants denied that this consumption showed seropositivity of <italic>T. gondii</italic> infection. Alvarado-Esquivel et al. reported a similar finding.<sup><xref ref-type="bibr" rid="CIT0029">29</xref></sup> These exposures to <italic>T. gondii</italic> could possibly be because of other risk factors like working with raw meat, which were not assessed in our study.</p>
<p>Magwedere et al. included a discussion on <italic>T. gondii</italic> in their report on zoonoses posing a possible threat to the wildlife industry in Namibia.<sup><xref ref-type="bibr" rid="CIT0032">32</xref></sup> Working with raw game meat or consumption of undercooked game meat could possibly pose a risk of exposure to <italic>T. gondii</italic>. A previous study found presence of <italic>T. gondii</italic> in lions in Namibia. Among a pride of five lions in a private reserve, four showed evidence of <italic>T. gondii</italic> infection.<sup><xref ref-type="bibr" rid="CIT0033">33</xref></sup> A high prevalence of <italic>T. gondii</italic> was also found in feral cats in the Western Cape Province in South Africa, providing a reservoir for the parasite and a potential source of contamination of the environment.<sup><xref ref-type="bibr" rid="CIT0034">34</xref></sup> In the 1990s, a municipality in the Province of British Columbia in Western Canada experienced an outbreak of toxoplasmosis, with the municipal water supply implicated as the source of infection.<sup><xref ref-type="bibr" rid="CIT0035">35</xref>,<xref ref-type="bibr" rid="CIT0036">36</xref></sup></p>
</sec>
<sec id="s20016">
<title>Specific IgM and IgG avidity</title>
<p>Very few pregnant women had possibly been infected during pregnancy; therefore, the risk of giving birth to an infant with CT was minimal. Anti-<italic>T. gondii</italic> IgM antibodies and specific IgG avidity were tested only in samples positive for anti-<italic>T. gondii</italic> IgG. Other studies found very low prevalence of samples positive for anti-<italic>T. gondii</italic> IgM only (0.3&#x0025;,<sup><xref ref-type="bibr" rid="CIT0037">37</xref></sup> 0.9&#x0025;<sup><xref ref-type="bibr" rid="CIT0038">38</xref></sup>), so the possibility of finding IgM positive while IgG is negative could be negated.</p>
<p>It can thus be concluded that the pregnant women who presented with anti-<italic>T. gondii</italic> IgG antibodies were infected before they became pregnant, with low risk of vertical transmission. Avidity testing is widely used in Europe and increasingly in southern Africa. The French National Reference Center for Toxoplasmosis has proposed algorithms for interpretation of serologic testing (IgG, IgM and IgG avidity) for <italic>T. gondii</italic>.<sup><xref ref-type="bibr" rid="CIT0039">39</xref></sup></p>
<p>The <italic>T. gondii</italic> IgG avidity test is useful to distinguish past infection from present infection in specific IgM-positive pregnant women. In a study in Brazil, the presence of anti-<italic>T. gondii</italic> IgM in an immune pregnant woman was often not associated with congenital infection. Twenty per cent of infants born to immune mothers with specific IgM antibodies and low avidity IgG antibodies were vertically infected, while 8&#x0025; of infants born to mothers with specific IgM antibodies and intermediate or high IgG avidity were vertically infected.<sup><xref ref-type="bibr" rid="CIT0040">40</xref></sup> Liesenfeld et al. evaluated the usefulness of testing for IgG avidity in association with <italic>T. gondii</italic> and found that among pregnant women with either positive or equivocal specific IgM, 55.9&#x0025; had high avidity-specific IgG.</p>
</sec>
<sec id="s20017">
<title>Prevention strategy</title>
<p>The high rate of <italic>T. gondii</italic> susceptibility among pregnant women could justify health education interventions. Women of childbearing potential found to be susceptible to <italic>T. gondii</italic> should be educated on behaviour to prevent infection.<sup><xref ref-type="bibr" rid="CIT0041">41</xref></sup> A health promotion strategy should be aimed at women of reproductive age, making them aware of preventive behaviour.<sup><xref ref-type="bibr" rid="CIT0038">38</xref></sup></p>
</sec>
</sec>
<sec id="s0018">
<title>Conclusion</title>
<p>The study group of urban pregnant women attending public antenatal care in Windhoek from September to October 2016 had a low prevalence of antibodies to <italic>T. gondii</italic>. This could possibly be attributed to geographical and meteorologic aspects. The youngest and the oldest age groups were least affected by toxoplasmosis. Health education of pregnant women on preventive measures could minimise the risk of CT. Further studies could investigate the seroprevalence of <italic>T. gondii</italic> in rural areas of Namibia, where higher rates of infection might be found. Future investigations could also be directed towards a one health approach to focus on <italic>T. gondii</italic> infection among wildlife-like game and carnivores and among abattoir workers. Of interest is the lack of information on genotypes of <italic>T. gondii</italic> found in Southern Africa.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<sec id="s20019" sec-type="COI-statement">
<title>Competing interests</title>
<p>The authors declare that they do not have any potential conflicts interest.</p>
</sec>
<sec id="s20020">
<title>Authors&#x2019; contributions</title>
<p>E.V.D.C. was responsible for the conception and design of the study, acquisition of data, analysis and interpretation of data and drafting of the article. G.U.V.Z. supervised the project and revised the article critically. B.N. revised the article critically and made editorial comments.</p>
</sec>
<sec id="s20021">
<title>Funding information</title>
<p>This project was funded by the National Commission on Research, Science and Technology in Namibia.</p>
</sec>
<sec id="s20022">
<title>Data availability statement</title>
<p>Data generated in this study are available upon reasonable request to the corresponding author.</p>
</sec>
<sec id="s20023">
<title>Disclaimer</title>
<p>The views and opinions expressed in this article are those of the authors and do not necessarily reflect the official policy or position of any affiliated agency of the authors.</p>
</sec>
</ack>
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<fn><p><bold>How to cite this article:</bold> Van der Colf BE, Van Zyl GU, Noden BH, Ntirampeba D. Seroprevalence of <italic>Toxoplasma gondii</italic> infection among pregnant women in Windhoek, Namibia, in 2016. S Afr J Infect Dis. 2020;35(1), a25. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.4102/sajid.v35i1.25">https://doi.org/10.4102/sajid.v35i1.25</ext-link></p></fn>
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