<?xml version="1.0" encoding="utf-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" "journalpublishing.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" dtd-version="2.3" xml:lang="EN">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Public Health</journal-id>
<journal-title>Frontiers in Public Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Public Health</abbrev-journal-title>
<issn pub-type="epub">2296-2565</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpubh.2023.1242870</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Public Health</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>The prevalence of gestational syphilis in Malawi between 2014 and 2022: spatiotemporal modeling of population-level factors</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Chirombo</surname>
<given-names>James</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2351145/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Majamanda</surname>
<given-names>Annielisa</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Gunsaru</surname>
<given-names>Vester</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yosefe</surname>
<given-names>Simeon</given-names>
</name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ozituosauka</surname>
<given-names>Washington</given-names>
</name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Mchoma</surname>
<given-names>Christina</given-names>
</name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Morroni</surname>
<given-names>Chelsea</given-names>
</name>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chipeta</surname>
<given-names>Effie</given-names>
</name>
<xref ref-type="aff" rid="aff9"><sup>9</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>MacPherson</surname>
<given-names>Peter</given-names>
</name>
<xref ref-type="aff" rid="aff10"><sup>10</sup></xref>
<xref ref-type="aff" rid="aff11"><sup>11</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Freyne</surname>
<given-names>Bridget</given-names>
</name>
<xref ref-type="aff" rid="aff12"><sup>12</sup></xref>
<xref ref-type="aff" rid="aff13"><sup>13</sup></xref>
<xref ref-type="aff" rid="aff14"><sup>14</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2544119/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Statistical Support Unit, Malawi Liverpool Wellcome Programme</institution>, <addr-line>Blantyre</addr-line>, <country>Malawi</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Clinical Sciences, Liverpool School of Tropical Medicine</institution>, <addr-line>Liverpool</addr-line>, <country>United Kingdom</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Quality, Blantyre District Health Office</institution>, <addr-line>Blantyre</addr-line>, <country>Malawi</country></aff>
<aff id="aff4"><sup>4</sup><institution>Digital Health Department, Ministry of Health</institution>, <addr-line>Lilongwe</addr-line>, <country>Malawi</country></aff>
<aff id="aff5"><sup>5</sup><institution>STI/HIV Program, Ministry of Health</institution>, <addr-line>Lilongwe</addr-line>, <country>Malawi</country></aff>
<aff id="aff6"><sup>6</sup><institution>Reproductive Health Department, Ministry of Health of Malawi</institution>, <addr-line>Lilongwe</addr-line>, <country>Malawi</country></aff>
<aff id="aff7"><sup>7</sup><institution>Botswana Harvard AIDS Institute Partnership</institution>, <addr-line>Gaborone</addr-line>, <country>Botswana</country></aff>
<aff id="aff8"><sup>8</sup><institution>MRC Centre for Reproductive Health, University of Edinburgh</institution>, <addr-line>Edinburgh</addr-line>, <country>United Kingdom</country></aff>
<aff id="aff9"><sup>9</sup><institution>Kamuzu University of Health Sciences</institution>, <addr-line>Blantyre</addr-line>, <country>Malawi</country></aff>
<aff id="aff10"><sup>10</sup><institution>School of Health and Wellbeing, University of Glasgow</institution>, <addr-line>Glasgow</addr-line>, <country>United Kingdom</country></aff>
<aff id="aff11"><sup>11</sup><institution>Clinical Research Department, London School of Hygiene and Tropical Medicine</institution>, <addr-line>London</addr-line>, <country>United Kingdom</country></aff>
<aff id="aff12"><sup>12</sup><institution>Department of Paediatric Infectious Diseases, Children&#x2019;s Health Ireland</institution>, <addr-line>Dublin</addr-line>, <country>Ireland</country></aff>
<aff id="aff13"><sup>13</sup><institution>Division of Women and Children&#x2019;s Health, School of Medicine, University College Dublin</institution>, <addr-line>Dublin</addr-line>, <country>Ireland</country></aff>
<aff id="aff14"><sup>14</sup><institution>Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool</institution>, <addr-line>Liverpool</addr-line>, <country>United Kingdom</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: Lisa Frigati, Tygerberg Hospital, South Africa</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: Ricardo Valentim, Federal University of Rio Grande do Norte, Brazil; Leonore Greybe, Stellenbosch University, South Africa; Hurtado Hlongwane, Wits Health Consortium (WHC), South Africa</p></fn>
<corresp id="c001">&#x002A;Correspondence: Bridget Freyne, <email>bridget.freyne@ucd.ie</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>11</day>
<month>01</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>11</volume>
<elocation-id>1242870</elocation-id>
<history>
<date date-type="received">
<day>19</day>
<month>06</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>20</day>
<month>12</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2024 Chirombo, Majamanda, Gunsaru, Yosefe, Ozituosauka, Mchoma, Morroni, Chipeta, MacPherson and Freyne.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Chirombo, Majamanda, Gunsaru, Yosefe, Ozituosauka, Mchoma, Morroni, Chipeta, MacPherson and Freyne</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec id="sec1">
<title>Background</title>
<p>Mother-to-child transmission of syphilis remains high especially in the WHO AFRO region with a prevalence of 1.62%, resulting in a congenital syphilis rate of 1,119 per 100,000 live births. Elimination efforts can be supported by an understanding of the spatial and temporal changes in disease over time, which can identify priority areas for targeted interventions aimed at reducing transmission.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>We collated routine surveillance data from health facilities and covariate data from demographic and health surveys conducted in Malawi between 2014 and 2022. We fitted a Bayesian hierarchical mixed model with spatial and temporally structured random effects to model the district-level monthly counts of maternal syphilis notifications as a function of individual- and district-level predictors. We then generated district-level spatiotemporally explicit risk profiles to estimate the effect of individual- and district-level covariates on maternal syphilis notifications and to identify hotspot areas.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>Overall, the national prevalence of maternal syphilis increased from 0.28% (95% CI: 0.27&#x2013;0.29%) in 2014 to peaking in 2021 at 1.92% (95% CI: 1.89&#x2013;1.96%). Between 2020 and 2022, there was a decline in prevalence, with the most significant decline seen in Zomba District (1.40, 95% CI: 1.12&#x2013;1.66%). In regression models, a one percentage point increase in district-level antenatal HIV prevalence was associated with increased maternal syphilis (prevalence ratio [PR]: 1.15, 95% credible interval [CrI]: 1.10&#x2013;1.21). There was also an increased prevalence of maternal syphilis associated with an increased district-level mean number of sex partners (PR: 1.05, 95% CrI: 0.80&#x2013;1.37). The number of districts with a high prevalence of maternal syphilis also increased between 2014 and 2022, especially in the southern region, where most had a high probability (approaching 100%) of having high maternal syphilis (defined as relative risk &#x003E;1 compared to the standard population of women aged 15&#x2013;49&#x2009;years) in 2022.</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>Maternal syphilis prevalence in Malawi shows an increasing upward trend, with an estimated six times relative increase between 2014 and 2022 (0.28% to 1.73%) and strong associations with higher district-level HIV prevalence. Controlling syphilis depends on reaching vulnerable populations at the sub-national level, which may be disproportionately affected. Our findings support the move to integrate the elimination of mother-to-child transmission (EMTCT) of syphilis programs with existing prevention of mother-to-child transmission (PMTCT) of HIV programs.</p>
</sec>
</abstract>
<kwd-group>
<kwd>maternal syphilis</kwd>
<kwd>eMTCT</kwd>
<kwd>syphilis prevalence</kwd>
<kwd>spatio-temporal model</kwd>
<kwd>HIV</kwd>
</kwd-group>
<counts>
<fig-count count="6"/>
<table-count count="1"/>
<equation-count count="2"/>
<ref-count count="44"/>
<page-count count="9"/>
<word-count count="6299"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Children and Health</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec5">
<label>1</label>
<title>Introduction</title>
<p>The World Health Organization (WHO) launched a campaign for the elimination of mother-to-child transmission (EMTCT) of syphilis in 2007 (<xref ref-type="bibr" rid="ref1">1</xref>). EMTCT of syphilis has been defined as an incidence of &#x003C;50 per 100,000 cases of congenital syphilis (CS). Although gains have been made over the last decade, the estimated global prevalence of maternal syphilis in 2016 was 0.69% (95% confidence interval [CI]: 0.51&#x2013;0.87) leading to a global CS rate of 473 (385&#x2013;561) per 100,000 live births and an estimated 661,000 (538,000-784,000) infants born with congenital syphilis per year, including 355,000 (290,000-419,000) adverse birth outcomes and a further 306,000 (249,000-363,000) asymptomatic infants at risk of neurodevelopmental and physical sequelae (<xref ref-type="bibr" rid="ref2">2</xref>). These global estimates are almost double in the WHO AFRO region, where the maternal syphilis prevalence is estimated as 1.62% and CS rates at 1,119 per 100,000 live births (<xref ref-type="bibr" rid="ref2">2</xref>).</p>
<p>In recent years, there has been a marked increase in notifications of early infectious maternal syphilis in high-income countries (<xref ref-type="bibr" rid="ref3 ref4 ref5">3&#x2013;5</xref>). High maternal syphilis prevalence is no longer limited to low-income countries. Congenital syphilis is also a re-emerging infection of global importance (<xref ref-type="bibr" rid="ref6">6</xref>, <xref ref-type="bibr" rid="ref7">7</xref>). For example, countries, such as Japan, Australia, and New Zealand, have reported congenital syphilis outbreaks in recent years (<xref ref-type="bibr" rid="ref8">8</xref>). In the USA, there has been a rise in congenital syphilis in both prevalence and geographical spread (<xref ref-type="bibr" rid="ref6">6</xref>, <xref ref-type="bibr" rid="ref9">9</xref>).</p>
<p>Congenital syphilis is a devastating but entirely preventable disease. The risk of vertical transmission is significantly high in early infectious syphilis in the mother but can occur in secondary and latent syphilis. Untreated gestational syphilis will result in an adverse birth outcome in approximately 80% of cases (<xref ref-type="bibr" rid="ref10">10</xref>). To achieve WHO accreditation for EMTCT of syphilis, a country must attain rates of 95% for each of (i) antenatal attendance, (ii) antenatal syphilis testing, and (iii) adequate treatment of pregnant women with benzathine penicillin &#x003E;28&#x2009;days pre-delivery (<xref ref-type="bibr" rid="ref11">11</xref>). WHO guidelines for the prevention of mother-to-child transmission (PMTCT) of syphilis also include re-testing pregnant women in the third trimester, partner notification, and surveillance of congenital syphilis rates (<xref ref-type="bibr" rid="ref12">12</xref>). A secondary analysis of Demographic and Health Survey (DHS) and Service Provision Assessment Survey (SPA) data recently indicated that only 23.8% of Malawian women were likely to access services in line with this recommendation (<xref ref-type="bibr" rid="ref13">13</xref>). While major gains have been made in terms of the coverage of antenatal testing through the use of rapid point of care tests, there remain health systems and socio-cultural barriers to women accessing appropriate and timely treatment.</p>
<p>The WHO strategy for EMTCT of syphilis acknowledges that, in high prevalence settings, the elimination target of &#x003C;50 per 100,000 cases of congenital syphilis/live births will be unattainable even with 95% coverage of testing and treatment (<xref ref-type="bibr" rid="ref14">14</xref>). Treatment failure due to HIV co-infection, re-infection in late pregnancy, and treatment administered late in pregnancy will contribute to persistent congenital infection. The estimated antenatal prevalence of syphilis in Malawi is approximately 2% but has been reported as high as 8% in specific populations (<xref ref-type="bibr" rid="ref15">15</xref>). Ultimately, combined approaches to interrupt community transmission of the disease alongside efforts to improve the management of infection in pregnancy will be required. Sub-national identification of areas of high prevalence of gestational syphilis may help to target resources aimed at the reduction of sexually transmitted infections in the community as well as areas of need for more intensive strategies for PMTCT.</p>
<p>Established risk factors for gestational syphilis infection in Africa include co-infection with HIV, living in urban centers, maternal education, maternal age, and key populations, including sex workers and lower socio-economic profile (<xref ref-type="bibr" rid="ref16 ref17 ref18">16&#x2013;18</xref>). In this analysis, we modeled the geographical variation in the risk of gestational syphilis over time. The aim was to identify sub-national areas of high syphilis risk and the relative contribution of currently measured and potentially modifiable risk factors.</p>
</sec>
<sec sec-type="methods" id="sec6">
<label>2</label>
<title>Methods</title>
<sec id="sec7">
<label>2.1</label>
<title>Study design and setting</title>
<p>We designed a retrospective record review study using nationwide routine data collected by the Malawi Ministry of Health and stored in the District Health Information System (DHIS 2) database. Malawi is divided into 3 administrative regions, namely north, central, and southern regions, and further into 28 districts (see <xref ref-type="supplementary-material" rid="SM1">Supplementary Figure S1</xref> for names and locations of all districts). Primary health care is provided by health posts, dispensaries, health centers, and rural/community hospitals, while district hospitals are secondary-level facilities that offer referral services for the district. Syphilis data are collected from the antenatal care clinics and later aggregated at the district level. Key district-level characteristics are shown in <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S1</xref>.</p>
</sec>
<sec id="sec8">
<label>2.2</label>
<title>Syphilis data</title>
<p>We obtained population-confirmed syphilis notification data (determined by the results of antenatal point-of-care testing) as counts per calendar month from the Malawi Ministry of Health&#x2019;s Health Management Information System (HMIS). The notification data covered 108&#x2009;months from 2014 to 2022 for all 28 Districts in Malawi. Screening using antibody tests is routinely done in pregnant women as it is in the Antenatal Care (ANC) package. Treponemal tests are the main tests used in Malawi. Venereal Disease Research Laboratory (VDRL) and rapid plasma reagin (RPR) tests are also used. Diagnosing congenital syphilis depends not only on the mother&#x2019;s status but also on the clinical manifestations of the newborn baby, and it is treated asymptomatically by giving the infant 10&#x2009;days of benzylpenicillin. The Malawi Standard Treatment Guidelines (MSTG) are followed in treating syphilis (<xref ref-type="bibr" rid="ref19">19</xref>).</p>
<p>All confirmed syphilis-positive cases, regardless of the diagnostic method, were used in the analysis. The reporting rate in HMIS has steadily increased over the years. The rate is now at 90% from well-established government health facilities and private health facilities owned and operated by religious organizations with well-defined catchment areas (<xref ref-type="bibr" rid="ref20">20</xref>). To estimate antenatal syphilis prevalence, we divided the number of positive maternal syphilis cases by the number of new ANC registrants. The syphilis test is done during the first antenatal visit, and in subsequent ANC visits, women are not recorded as new registrants.</p>
</sec>
<sec id="sec9">
<label>2.3</label>
<title>District-level covariate data</title>
<p>Covariate data were obtained from the 2016 Demographic and Health Survey (DHS) and are outlined in <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S2</xref>. Data including education, HIV status, median age at first delivery, number of sexual partners, and employment were accessed from the DHS program and then linked with the HMIS data by district. Because DHS estimates cover the preceding 5&#x2009;years, we assumed that DHS estimates were constant during this study period. DHS surveys are large nationally representative surveys with large sample sizes conducted approximately every 5&#x2009;years. DHS uses a two-stage sampling cluster survey strategy to select households. In the 2016 DHS, 26,361 households were included with 24,562 female respondents aged 15&#x2013;49&#x2009;years (<xref ref-type="bibr" rid="ref21">21</xref>). The survey covered all 28 districts of Malawi. Data collected from households include employment, literacy, education, and household access to electricity among others. HIV testing was also done using enzyme-linked immunoassay (ELISA I). Samples testing positive on the ELISA I were subjected to ELISA II. Additional covariates from HMIS data included syphilis testing coverage, defined as the proportion of all women attending ANC that were tested. This syphilis rate was calculated by dividing the total number of syphilis tests done by the total number of ANC registrants.</p>
</sec>
<sec id="sec10">
<label>2.4</label>
<title>Standardized incidence ratio</title>
<p>We calculated the standardized incidence ratio (SIR) to estimate the unadjusted risk of maternal syphilis in each district <inline-formula>
<mml:math id="M1">
<mml:mi>s</mml:mi>
</mml:math>
</inline-formula> at time <inline-formula>
<mml:math id="M2">
<mml:mi>t</mml:mi>
</mml:math>
</inline-formula>, which is given by</p>
<disp-formula id="EQ1">
<mml:math id="M3">
<mml:mrow>
<mml:mi>S</mml:mi>
<mml:mi>I</mml:mi>
<mml:msub>
<mml:mi>R</mml:mi>
<mml:mrow>
<mml:mi>s</mml:mi>
<mml:mi>t</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:msub>
<mml:mi>Y</mml:mi>
<mml:mrow>
<mml:mi>s</mml:mi>
<mml:mi>t</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mrow>
<mml:msub>
<mml:mi>E</mml:mi>
<mml:mrow>
<mml:mi>s</mml:mi>
<mml:mi>t</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
</disp-formula>
<p>Here, <inline-formula>
<mml:math id="M4">
<mml:mrow>
<mml:msub>
<mml:mi>Y</mml:mi>
<mml:mrow>
<mml:mi>s</mml:mi>
<mml:mi>t</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> is the observed number of maternal syphilis cases and <inline-formula>
<mml:math id="M5">
<mml:mrow>
<mml:msub>
<mml:mi>E</mml:mi>
<mml:mrow>
<mml:mi>s</mml:mi>
<mml:mi>t</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> is the expected number of cases defined as<inline-formula>
<mml:math id="M6">
<mml:mrow>
<mml:mspace width="thickmathspace"/>
<mml:msub>
<mml:mi>E</mml:mi>
<mml:mrow>
<mml:mi>s</mml:mi>
<mml:mi>t</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:msub>
<mml:mi>r</mml:mi>
<mml:mrow>
<mml:mi>s</mml:mi>
<mml:mi>t</mml:mi>
</mml:mrow>
</mml:msub>
<mml:msub>
<mml:mi>n</mml:mi>
<mml:mrow>
<mml:mi>s</mml:mi>
<mml:mi>t</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>,</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula> where <inline-formula>
<mml:math id="M7">
<mml:mrow>
<mml:msub>
<mml:mi>r</mml:mi>
<mml:mrow>
<mml:mi>s</mml:mi>
<mml:mi>t</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> is the rate of maternal syphilis in the standard population and <inline-formula>
<mml:math id="M8">
<mml:mrow>
<mml:msub>
<mml:mi>n</mml:mi>
<mml:mrow>
<mml:mi>s</mml:mi>
<mml:mi>t</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> is the number of women of childbearing age in district <inline-formula>
<mml:math id="M9">
<mml:mi>s</mml:mi>
</mml:math>
</inline-formula> and month <inline-formula>
<mml:math id="M10">
<mml:mi>t</mml:mi>
</mml:math>
</inline-formula>. The maternal syphilis rate is <inline-formula>
<mml:math id="M11">
<mml:mrow>
<mml:msub>
<mml:mi>r</mml:mi>
<mml:mrow>
<mml:mi>s</mml:mi>
<mml:mi>t</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mo>&#x2211;</mml:mo>
<mml:msub>
<mml:mi>Y</mml:mi>
<mml:mrow>
<mml:mi>s</mml:mi>
<mml:mi>t</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mrow>
<mml:mo>&#x2211;</mml:mo>
<mml:msub>
<mml:mi>n</mml:mi>
<mml:mrow>
<mml:mi>s</mml:mi>
<mml:mi>t</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
</inline-formula>, calculated by dividing the total number of maternal syphilis cases by the total population of childbearing age. The <inline-formula>
<mml:math id="M12">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi mathvariant="normal">SIR</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mi mathvariant="normal">st</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> approximates the district-specific relative risk in district <inline-formula>
<mml:math id="M13">
<mml:mi>s</mml:mi>
</mml:math>
</inline-formula> at time <inline-formula>
<mml:math id="M14">
<mml:mi>t</mml:mi>
</mml:math>
</inline-formula>. When <inline-formula>
<mml:math id="M15">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi mathvariant="normal">SIR</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mi mathvariant="normal">st</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>&#x003E;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:math>
</inline-formula>, there is an elevated risk of maternal syphilis compared to the standard population of women of childbearing age, while <inline-formula>
<mml:math id="M16">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi mathvariant="normal">SIR</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mi mathvariant="normal">st</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>&#x003C;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:math>
</inline-formula> denotes lower risk of maternal syphilis compared to the standard population. For calculating SIR, we standardized on female age only, thus giving unsmoothed estimate of risk. The spatiotemporal model, which was later fitted, allowed for the inclusion of covariates and spatial smoothing.</p>
</sec>
<sec id="sec11">
<label>2.5</label>
<title>Model formulation</title>
<p>We assumed that the monthly maternal syphilis cases follow a Poisson distribution. To investigate factors affecting maternal syphilis risk, we, therefore, fitted a Bayesian hierarchical Poisson log-linear model with the following form:</p>
<disp-formula id="E1">
<mml:math id="M17">
<mml:mrow>
<mml:mi>log</mml:mi>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mi>&#x03BC;</mml:mi>
<mml:mrow>
<mml:mi>s</mml:mi>
<mml:mi>t</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>=</mml:mo>
<mml:mi>log</mml:mi>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mi>E</mml:mi>
<mml:mrow>
<mml:mi>s</mml:mi>
<mml:mi>t</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>+</mml:mo>
<mml:mi>&#x03B1;</mml:mi>
<mml:mo>+</mml:mo>
<mml:msubsup>
<mml:mi>x</mml:mi>
<mml:mrow>
<mml:mi>s</mml:mi>
<mml:mi>t</mml:mi>
</mml:mrow>
<mml:mi>T</mml:mi>
</mml:msubsup>
<mml:mi>&#x03B2;</mml:mi>
<mml:mo>+</mml:mo>
<mml:msub>
<mml:mi>&#x03D5;</mml:mi>
<mml:mi>s</mml:mi>
</mml:msub>
<mml:mo>+</mml:mo>
<mml:msub>
<mml:mi>&#x03B4;</mml:mi>
<mml:mi>t</mml:mi>
</mml:msub>
<mml:mo>+</mml:mo>
<mml:msub>
<mml:mi>&#x03B3;</mml:mi>
<mml:mrow>
<mml:mi>s</mml:mi>
<mml:mi>t</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</disp-formula>
<p>where <inline-formula>
<mml:math id="M18">
<mml:mrow>
<mml:msub>
<mml:mi>&#x03BC;</mml:mi>
<mml:mrow>
<mml:mi>s</mml:mi>
<mml:mi>t</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> is the mean number of maternal syphilis cases in district <inline-formula>
<mml:math id="M19">
<mml:mi>s</mml:mi>
</mml:math>
</inline-formula> and month <inline-formula>
<mml:math id="M20">
<mml:mi>t</mml:mi>
</mml:math>
</inline-formula>; <inline-formula>
<mml:math id="M21">
<mml:mrow>
<mml:msub>
<mml:mi>E</mml:mi>
<mml:mrow>
<mml:mi>s</mml:mi>
<mml:mi>t</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> is the expected number of maternal syphilis cases and captures the possible differences in the characteristics of the women at the population level due to differences in the underlying population of women of childbearing age. The term <inline-formula>
<mml:math id="M22">
<mml:mi>&#x03B1;</mml:mi>
</mml:math>
</inline-formula> is the overall risk, and <inline-formula>
<mml:math id="M23">
<mml:mrow>
<mml:msub>
<mml:mi>x</mml:mi>
<mml:mrow>
<mml:mi>s</mml:mi>
<mml:mi>t</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> is the vector of <inline-formula>
<mml:math id="M24">
<mml:mi>p</mml:mi>
</mml:math>
</inline-formula> risk factors with their associated regression coefficient <inline-formula>
<mml:math id="M25">
<mml:mrow>
<mml:mi>&#x03B2;</mml:mi>
<mml:mo>.</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula> Finally, the terms <inline-formula>
<mml:math id="M26">
<mml:mrow>
<mml:msub>
<mml:mi>&#x03D5;</mml:mi>
<mml:mi>s</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>, <inline-formula>
<mml:math id="M27">
<mml:mrow>
<mml:msub>
<mml:mi>&#x03B4;</mml:mi>
<mml:mi>t</mml:mi>
</mml:msub>
<mml:mo>,</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula> and <inline-formula>
<mml:math id="M28">
<mml:mrow>
<mml:msub>
<mml:mi>&#x03B3;</mml:mi>
<mml:mrow>
<mml:mi>s</mml:mi>
<mml:mi>t</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> are the spatially structured, temporally structured, and the residual spatiotemporal random effects that capture extra Poisson variation or spatiotemporal correlation due to unmeasured risk factors. More details on the model specification are given in the Supplementary Material.</p>
</sec>
<sec id="sec12">
<label>2.6</label>
<title>Model fitting</title>
<p>We first fitted non-spatial models with different combinations of covariates to explain maternal syphilis risk. We included the variable of testing coverage (defined as the number of all women attending ANC who were tested for syphilis divided by the total ANC registrants) to account for the increased testing rates over time. Model comparison was done using the Akaike information criterion (AIC). Overdispersion tests carried out on the preliminary models indicated the presence of overdispersion (extra-Poisson variation). The most parsimonious non-spatial GLM was then developed further by introducing both spatial and temporal random effects to account for the confirmed dispersion, as well as the possible presence of unobserved confounding factors. The spatially- and temporally structured random effects account for possible correlated random effects.</p>
<p>Parameter estimation was done in a Bayesian framework via Markov Chain Monte Carlo (MCMC). We fitted three parallel chains each with 620,000 iterations with a burn-in of 20,000 and a thinning parameter of 100, resulting in 6000 approximately independent samples from the joint posterior distribution for inference. Convergence was assessed visually by inspecting trace plots and analytically by computing the Geweke convergence diagnostic (<xref ref-type="bibr" rid="ref22">22</xref>). All analyses were conducted in the R statistical environment for statistical computing (<xref ref-type="bibr" rid="ref23">23</xref>).</p>
</sec>
<sec id="sec13">
<label>2.7</label>
<title>Ethical considerations</title>
<p>We obtained approval from the Ministry of Health to access the DHIS 2 system and use the syphilis data for analysis. All the data in the DHIS 2 were aggregated with no individual identifying information. The DHS surveys, which provided the covariate data, already received ethical approval before they were conducted in Malawi.</p>
</sec>
</sec>
<sec sec-type="results" id="sec14">
<label>3</label>
<title>Results</title>
<p><xref ref-type="fig" rid="fig1">Figure 1</xref> shows the time series distribution of monthly maternal syphilis prevalence throughout the study period. Nationally, there has been an increase in prevalence among women tested from 0.23% (116 of 50,544) in January 2014 to 2.5% (1,220 of 48,795) in February 2021. From 2019, there have been episodes of marked alternating increase and decrease in prevalence.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Empirical average monthly maternal syphilis prevalence among pregnant women attending ANC who completed testing for syphilis and were recorded in HMIS over the entire study period from 2014 to 2022. The prevalence was calculated by dividing the number of positive syphilis cases with the population of women registered for ANC.</p>
</caption>
<graphic xlink:href="fpubh-11-1242870-g001.tif"/>
</fig>
<p>The changes in the spatial distribution of prevalence over time are shown in <xref ref-type="fig" rid="fig2">Figure 2</xref>. In general, prevalence has mainly increased mostly in the southern region. In 2014, there was a small number of districts with elevated prevalence, mostly in the southern region. By 2021/2022, most districts in southern Malawi had a prevalence ranging between 2% and 4%.</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>District-level summary of maternal syphilis empirical prevalence for the period of 2014&#x2013;2022. The prevalence was calculated by dividing the number of positive syphilis cases with the population of women registered for ANC.</p>
</caption>
<graphic xlink:href="fpubh-11-1242870-g002.tif"/>
</fig>
<p>Over time, the risk of syphilis, as estimated by the SIR, increased (<xref ref-type="fig" rid="fig3">Figure 3</xref>). The highest risk was generally found in several districts in the southern region. However, by 2022, there was a decrease in maternal syphilis prevalence in the southern region.</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Standardized incidence ratio (SIR) estimates for maternal syphilis for the period of 2014&#x2013;2022. Values SIR &#x003E;1 indicate increased risk, while SIR &#x003C;1 indicates decreasing risk of maternal syphilis.</p>
</caption>
<graphic xlink:href="fpubh-11-1242870-g003.tif"/>
</fig>
<sec id="sec15">
<label>3.1</label>
<title>Factors affecting syphilis prevalence</title>
<p><xref ref-type="table" rid="tab1">Table 1</xref> shows the model parameter estimates.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Adjusted prevalence ratio estimates and their 95% credible intervals from the Poisson spatiotemporal model fitted to the data.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top">Prevalence ratio</th>
<th align="center" valign="top">Lower bound of 95% CrI</th>
<th align="center" valign="top">Upper bound of 95% CrI</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="bottom">District % women employed</td>
<td align="center" valign="bottom">1.01</td>
<td align="center" valign="bottom">0.99</td>
<td align="center" valign="bottom">1.02</td>
</tr>
<tr>
<td align="left" valign="bottom">District % secondary education</td>
<td align="center" valign="bottom">0.87</td>
<td align="center" valign="bottom">0.80</td>
<td align="center" valign="bottom">0.98</td>
</tr>
<tr>
<td align="left" valign="bottom">District % testing coverage</td>
<td align="center" valign="bottom">1.02</td>
<td align="center" valign="bottom">0.80</td>
<td align="center" valign="bottom">1.02</td>
</tr>
<tr>
<td align="left" valign="bottom">District % electricity coverage</td>
<td align="center" valign="bottom">1.06</td>
<td align="center" valign="bottom">1.01</td>
<td align="center" valign="bottom">1.11</td>
</tr>
<tr>
<td align="left" valign="bottom">District median age birth</td>
<td align="center" valign="bottom">0.82</td>
<td align="center" valign="bottom">0.57</td>
<td align="center" valign="bottom">1.20</td>
</tr>
<tr>
<td align="left" valign="bottom">District %&#x2009;&#x003E;&#x2009;1 sex partner</td>
<td align="center" valign="bottom">1.05</td>
<td align="center" valign="bottom">0.80</td>
<td align="center" valign="bottom">1.37</td>
</tr>
<tr>
<td align="left" valign="bottom">District HIV prevalence</td>
<td align="center" valign="bottom">1.15</td>
<td align="center" valign="bottom">1.10</td>
<td align="center" valign="bottom">1.21</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>&#x002A; Adjusted prevalence ratio estimates obtained from exponentiating the coefficients of the spatiotemporal model.</p>
</table-wrap-foot>
</table-wrap>
<p>From the model, a one percentage point increase in the percentage of women reporting being employed in the last 12&#x2009;months did not lead to a change in maternal syphilis (prevalence ratio [PR]: 1.01, 95% CrI: 0.99&#x2013;1.02). However, a one percentage point increase in the district-level proportion of households with access to electricity was associated with a 6% relative increase in the risk of maternal syphilis in pregnancy (PR: 1.06, 95% CrI: 1.01&#x2013;1.11). Furthermore, for a one percentage point increase in 15&#x2013;49-year-old women who reported having completed secondary-level education, there was a 13% (PR: 0.87, 95% CrI: 0.80&#x2013;0.98) decrease in the risk of maternal syphilis. A one percentage point increase in the district-level percentage of women reporting more than one sexual partner was not associated with an increased risk (PR: 1.05, 95% CrI: 0.80&#x2013;1.37); each percentage point in district-level HIV prevalence among women aged 15&#x2013;49&#x2009;years was associated with a 15% (PR: 1.15, CrI: 1.10&#x2013;1.21) increase in the risk of maternal syphilis. The annual predicted district syphilis risk based on the model is shown in <xref ref-type="fig" rid="fig4">Figure 4</xref>.</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Predicted district maternal syphilis prevalence ratio (PR) over the period of 2014&#x2013;2022. The predicted values are obtained from the fitted model. Darker colors on the map indicate districts with a high predicted prevalence ratio, while lighter colors indicate districts with a lower predicted prevalence ratio.</p>
</caption>
<graphic xlink:href="fpubh-11-1242870-g004.tif"/>
</fig>
</sec>
<sec id="sec16">
<label>3.2</label>
<title>Model-predicted syphilis risk</title>
<p>The model predicted a higher risk of maternal syphilis in most of the districts in the southern region, and there was an observed increase in the number of districts with a high prevalence of maternal syphilis. For example, Nsanje was the only district in the south with a PR of &#x003E;1.5 in 2014, but by 2022, 10 districts in the southern region (Balaka, Zomba, Mulanje, Phalombe, Mwanza, Chikwawa, Nsanje, Blantyre, Thyolo, and Chiradzulu) had PR&#x2009;&#x003E;&#x2009;1.5 (see <xref ref-type="fig" rid="fig4">Figure 4</xref>). The temporal changes in the risk also indicate a slow rate of increasing risk of maternal syphilis from 0.2 in 2014 to 1.5 in 2020 (<xref ref-type="fig" rid="fig5">Figure 5</xref>). From 2020 to 2022, there was a slight decrease in the risk, from 1.5 to 1.44.</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>Average yearly maternal syphilis risk for the entire country between 2014 and 2022 relative to the standard population of women aged 15&#x2013;49&#x2009;years in the corresponding year. Values greater than 1 indicate a higher risk compared to the standard population.</p>
</caption>
<graphic xlink:href="fpubh-11-1242870-g005.tif"/>
</fig>
<p>Finally, we calculated the posterior exceedance probabilities <inline-formula>
<mml:math id="M29">
<mml:mrow>
<mml:mi>P</mml:mi>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mi>&#x03B8;</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
<mml:mo>&#x003E;</mml:mo>
<mml:mi>c</mml:mi>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</inline-formula> that the prevalence ratio (PR) in district <inline-formula>
<mml:math id="M30">
<mml:mi>s</mml:mi>
</mml:math>
</inline-formula> is greater than a pre-specified value <inline-formula>
<mml:math id="M31">
<mml:mi>c</mml:mi>
</mml:math>
</inline-formula>. We used a threshold value of 1 to find high-risk districts. Most of the districts in the Northern and Central regions had low probabilities of having a higher risk greater than one, with most districts having a probability less than 0.2 (<xref ref-type="fig" rid="fig6">Figure 6</xref>). In later years, the probability slightly increased mostly in districts along the lake, such as Nkhotakota and Salima. In the southern region, the number of districts with high probabilities of having increased maternal risk increased from one district in 2014 to 12 districts in 2022. The number of districts with the highest risk in the south was maximum in 2021 before slightly decreasing in 2022. Districts with the highest risk in this region include Thyolo, Mulanje, Nsanje, and Phalombe.</p>
<fig position="float" id="fig6">
<label>Figure 6</label>
<caption>
<p>Posterior exceedance probabilities that the risk is greater than 1 between 2014 and 2022. The probabilities were calculated from the model. Darker colors on the map indicate higher probabilities with values close to 1, especially in the southern region.</p>
</caption>
<graphic xlink:href="fpubh-11-1242870-g006.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="sec17">
<label>4</label>
<title>Discussion</title>
<p>To the best of our knowledge, this is the first report of the geospatial distribution of maternal syphilis in an African country using routinely collected health system data. This method has been extensively used to map the evolving problem of syphilis in pregnant women and their infants in both the United States (<xref ref-type="bibr" rid="ref24">24</xref>, <xref ref-type="bibr" rid="ref25">25</xref>) and Brazil (<xref ref-type="bibr" rid="ref26 ref27 ref28 ref29 ref30 ref31 ref32 ref33">26&#x2013;33</xref>). Leveraging routinely collected data in this way provides a return for investment on district-level data collection. It further supports the development of &#x201C;precision&#x201D; public health, which seeks to harness epidemiological data for optimal allocation of available resources.</p>
<p>High-quality district-level data is required to support the development of a national strategy with the aim of attaining international health policy targets. In Brazil, regional-level data identified regions with high migration and high tourist levels as &#x201C;hotspots&#x201D; for congenital syphilis (<xref ref-type="bibr" rid="ref34">34</xref>). In China and Brazil, geospatial methods identified divergence in the development of syphilis and HIV epidemics (<xref ref-type="bibr" rid="ref35">35</xref>, <xref ref-type="bibr" rid="ref36">36</xref>), while in South Africa, a cross-sectional spatial analysis of HIV and syphilis hotspots also showed that they did not overlap (<xref ref-type="bibr" rid="ref37">37</xref>). In China, syphilis prevalence was associated with areas of rapid economic development (<xref ref-type="bibr" rid="ref38">38</xref>). In our analysis, we identified a trend of increasing syphilis prevalence over time, which was concentrated in the southern region of Malawi and along the lake shore. It is possible that this is due to the higher levels of urbanization, the presence of major trade routes, and increased migration for work and trade in these areas, but additional targeted surveillance would be required to further explore these possibilities.</p>
<p>By utilizing available district-level demographic data, it is possible to explore risk factors within a population that may contribute to a relatively higher risk of maternal syphilis in that region. In Malawi, regions with a higher HIV prevalence among women of childbearing age also exhibited a higher risk of maternal syphilis. This is in keeping with a 2010 geospatial analysis of HIV prevalence in Malawi, which showed a similar increased risk of HIV in the southern region (<xref ref-type="bibr" rid="ref39">39</xref>). Based on these observations, the proposed integration of EMTCT programs for HIV and syphilis should be effective in Malawi (<xref ref-type="bibr" rid="ref40">40</xref>). Our data also support the notion that fewer years of maternal education was associated with an increased risk of maternal syphilis in Malawi. Similar associations have been noted with epidemiological analyses from Brazil (<xref ref-type="bibr" rid="ref31">31</xref>, <xref ref-type="bibr" rid="ref41">41</xref>, <xref ref-type="bibr" rid="ref42">42</xref>). Economic and cultural factors that contribute to vulnerability with respect to the sexual health of young women may be different in Malawi and visualizing this by region can support the need for targeted interventions in certain regions.</p>
<p>The observed plateau and decrease in syphilis risk between 2020 and 2022 could have been partly due to the COVID-19 pandemic, which caused some disruptions to the health service, leading to a decrease in syphilis notifications across the country. Decreases in syphilis notifications attributable to the pandemic have been observed in some settings (<xref ref-type="bibr" rid="ref43">43</xref>, <xref ref-type="bibr" rid="ref44">44</xref>). However, more research works are needed to ascertain the true cause of the decrease in the risk in Malawi.</p>
<p>The major strength of this study is the wide geographical distribution of health facilities from which data is drawn, which provides confidence in the representativeness of our results. A further strength is the modeling approach used, which takes into consideration the spatial and temporal structure of the data so that the estimates are more likely to capture underlying heterogeneities between regions. The major limitation of this study relates to the quality of the data used. Since routine HMIS data are dependent on health facilities reporting their data into the central system, missing data are not uncommon and mostly affect small rural health facilities that may not have adequate infrastructure and personnel. We have mitigated this problem as much as possible by doing a district-level analysis using a Bayesian analytical approach, but the results of the study need to be interpreted in light of this limitation. Another limitation is the use of DHS estimates, which assumed that covariate values were constant over the study period. A further limitation of the HMIS data is the inability to capture certain syphilis-related outcomes. For example, gestational syphilis case data may not be representative as pregnant women not presenting at the facility for ANC visits are not included in our estimates. An important limitation of this data is that current standard antenatal testing for syphilis in Malawi is a Treponemal-only rapid Point-of-Care Testing (POCT), but we cannot rule out VDRL or RPR use in some centers in earlier years. We do not have clinical information to confirm the stage or acuity of infection. In addition, there is no existing surveillance for congenital syphilis at the time of delivery in the current dataset analyzing this outcome of EMTCT impossible.</p>
</sec>
<sec sec-type="conclusions" id="sec18">
<label>5</label>
<title>Conclusion</title>
<p>The results of this study highlight the importance of high-quality district-level data to support precision public health that can be improved by employing low-cost regular and consistent auditing of the routine data as a way of improving the quality and investing in electronic data capture at the point of care to minimize data entry errors. Presently, data entry at source is still paper based. This approach may be particularly valuable in low- and middle-income countries where resources are scarce, and interventions need to be targeted for maximum effect. The results of this study need to be interpreted considering the limitations discussed and should be used to support the design of definitive epidemiological studies. Based on our results, future areas of study should target vulnerable young women, be integrated with HIV services, and be focused on regions of rapid development and high migration in Malawi. Modification to the HMIS dataset to enable surveillance of congenital syphilis that links STI and antenatal clinic data is urgently required, as is an investment into data quality and completeness at the district level.</p>
</sec>
<sec sec-type="data-availability" id="sec19">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">Supplementary material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec sec-type="author-contributions" id="sec20">
<title>Author contributions</title>
<p>BF conceived the study. JC and PM also helped in conceiving the study. JC collated the data, analyzed the results, and fitted the models. VG and PM provided advice on statistical modeling and critically reviewed the methods. AM, SY, WO, CMc, CMo, and EC provided insight into maternal syphilis in Malawi. SY authorized the use of DHIS data and clarified data collection systems. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec sec-type="funding-information" id="sec21">
<title>Funding</title>
<p>BF is supported by an ESPID Springboard Fellowship.</p>
</sec>
<ack>
<p>The authors thank the Malawi Ministry of Health for access to the DHIS database and the DHS program for granting access to the Malawi DHS data.</p>
</ack>
<sec sec-type="COI-statement" id="sec22">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="sec100" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="sec23">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fpubh.2023.1242870/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fpubh.2023.1242870/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.DOCX" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<ref-list>
<title>References</title>
<ref id="ref1"><label>1.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Taylor</surname><given-names>M</given-names></name> <name><surname>Newman</surname><given-names>L</given-names></name> <name><surname>Ishikawa</surname><given-names>N</given-names></name> <name><surname>Laverty</surname><given-names>M</given-names></name> <name><surname>Hayashi</surname><given-names>C</given-names></name> <name><surname>Ghidinelli</surname><given-names>M</given-names></name> <etal/></person-group>. <article-title>Elimination of mother-to-child transmission of HIV and syphilis (EMTCT): process, progress, and program integration</article-title>. <source>PLoS Med</source>. (<year>2017</year>) <volume>14</volume>:<fpage>e1002329</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pmed.1002329</pub-id>, PMID: <pub-id pub-id-type="pmid">28654643</pub-id></citation></ref>
<ref id="ref2"><label>2.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Korenromp</surname><given-names>EL</given-names></name> <name><surname>Rowley</surname><given-names>J</given-names></name> <name><surname>Alonso</surname><given-names>M</given-names></name> <name><surname>Mello</surname><given-names>MB</given-names></name> <name><surname>Wijesooriya</surname><given-names>NS</given-names></name> <name><surname>Mahian&#x00E9;</surname><given-names>SG</given-names></name> <etal/></person-group>. <article-title>Global burden of maternal and congenital syphilis and associated adverse birth outcomes&#x2014;estimates for 2016 and progress since 2012</article-title>. <source>PLoS One</source>. (<year>2019</year>) <volume>14</volume>:<fpage>e0211720</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pone.0211720</pub-id>, PMID: <pub-id pub-id-type="pmid">30811406</pub-id></citation></ref>
<ref id="ref3"><label>3.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gilmour</surname><given-names>LS</given-names></name> <name><surname>Walls</surname><given-names>T</given-names></name></person-group>. <article-title>Congenital syphilis: a review of global epidemiology</article-title>. <source>Clin Microbiol Rev</source>. (<year>2023</year>) <volume>36</volume>:<fpage>e0012622</fpage>. doi: <pub-id pub-id-type="doi">10.1128/cmr.00126-22</pub-id>, PMID: <pub-id pub-id-type="pmid">36920205</pub-id></citation></ref>
<ref id="ref4"><label>4.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Spiteri</surname><given-names>G</given-names></name> <name><surname>Unemo</surname><given-names>M</given-names></name> <name><surname>M&#x00E5;rdh</surname><given-names>O</given-names></name> <name><surname>Amato-Gauci</surname><given-names>AJ</given-names></name></person-group>. <article-title>The resurgence of syphilis in high-income countries in the 2000s: a focus on Europe</article-title>. <source>Epidemiol Infect</source>. (<year>2019</year>) <volume>147</volume>:<fpage>e143</fpage>. doi: <pub-id pub-id-type="doi">10.1017/S0950268819000281</pub-id>, PMID: <pub-id pub-id-type="pmid">30869043</pub-id></citation></ref>
<ref id="ref5"><label>5.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tiecco</surname><given-names>G</given-names></name> <name><surname>Degli Antoni</surname><given-names>M</given-names></name> <name><surname>Storti</surname><given-names>S</given-names></name> <name><surname>Marchese</surname><given-names>V</given-names></name> <name><surname>Foc&#x00E0;</surname><given-names>E</given-names></name> <name><surname>Torti</surname><given-names>C</given-names></name> <etal/></person-group>. <article-title>A 2021 update on syphilis: taking stock from pathogenesis to vaccines</article-title>. <source>Pathogens</source>. (<year>2021</year>) <volume>10</volume>:<fpage>1364</fpage>. doi: <pub-id pub-id-type="doi">10.3390/pathogens10111364</pub-id>, PMID: <pub-id pub-id-type="pmid">34832520</pub-id></citation></ref>
<ref id="ref6"><label>6.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Nelson</surname><given-names>R</given-names></name></person-group>. <article-title>Congenital syphilis increases in the USA</article-title>. <source>Lancet Microbe</source>. (<year>2022</year>) <volume>3</volume>:<fpage>e171</fpage>. doi: <pub-id pub-id-type="doi">10.1016/S2666-5247(22)00041-6</pub-id>, PMID: <pub-id pub-id-type="pmid">35544073</pub-id></citation></ref>
<ref id="ref7"><label>7.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sankaran</surname><given-names>D</given-names></name> <name><surname>Partridge</surname><given-names>E</given-names></name> <name><surname>Lakshminrusimha</surname><given-names>S</given-names></name></person-group>. <article-title>Congenital syphilis&#x2014;an illustrative review</article-title>. <source>Children</source>. (<year>2023</year>) <volume>10</volume>:<fpage>1310</fpage>. doi: <pub-id pub-id-type="doi">10.3390/children10081310</pub-id>, PMID: <pub-id pub-id-type="pmid">37628309</pub-id></citation></ref>
<ref id="ref8"><label>8.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>David</surname><given-names>A</given-names></name> <name><surname>Posfay-Barbe</surname><given-names>KM</given-names></name> <name><surname>Aguiar Nogueira</surname><given-names>C</given-names></name> <name><surname>Toutous</surname><given-names>TL</given-names></name></person-group>. <article-title>Congenital syphilis in Switzerland: a marker of inequality? A mini-review. Front</article-title>. <source>Public Health</source>. (<year>2023</year>) <volume>11</volume>:<fpage>1265725</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fpubh.2023.1265725</pub-id>, PMID: <pub-id pub-id-type="pmid">37780442</pub-id></citation></ref>
<ref id="ref9"><label>9.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bowen</surname><given-names>VB</given-names></name> <name><surname>McDonald</surname><given-names>R</given-names></name> <name><surname>Grey</surname><given-names>JA</given-names></name> <name><surname>Kimball</surname><given-names>A</given-names></name> <name><surname>Torrone</surname><given-names>EA</given-names></name></person-group>. <article-title>High congenital syphilis case counts among U.S. infants born in 2020</article-title>. <source>N Engl J Med</source>. (<year>2021</year>) <volume>385</volume>:<fpage>1144</fpage>&#x2013;<lpage>5</lpage>. doi: <pub-id pub-id-type="doi">10.1056/NEJMc2111103</pub-id>, PMID: <pub-id pub-id-type="pmid">34525291</pub-id></citation></ref>
<ref id="ref10"><label>10.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gomez</surname><given-names>GB</given-names></name> <name><surname>Kamb</surname><given-names>ML</given-names></name> <name><surname>Newman</surname><given-names>LM</given-names></name> <name><surname>Mark</surname><given-names>J</given-names></name> <name><surname>Broutet</surname><given-names>N</given-names></name> <name><surname>Hawkes</surname><given-names>SJ</given-names></name></person-group>. <article-title>Untreated maternal syphilis and adverse outcomes of pregnancy: a systematic review and meta-analysis</article-title>. <source>Bull World Health Organ</source>. (<year>2013</year>) <volume>91</volume>:<fpage>217</fpage>&#x2013;<lpage>26</lpage>. doi: <pub-id pub-id-type="doi">10.2471/BLT.12.107623</pub-id>, PMID: <pub-id pub-id-type="pmid">23476094</pub-id></citation></ref>
<ref id="ref11"><label>11.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Caffe</surname><given-names>S</given-names></name> <name><surname>Perez</surname><given-names>F</given-names></name> <name><surname>Kamb</surname><given-names>ML</given-names></name> <name><surname>Ponce</surname><given-names>G</given-names></name> <name><surname>de Leon</surname><given-names>R</given-names></name> <name><surname>Alonso</surname><given-names>M</given-names></name> <etal/></person-group>. <article-title>Cuba validated as the first country to eliminate mother-to-child transmission of human immunodeficiency virus and congenital syphilis: lessons learned from the implementation of the global validation methodology</article-title>. <source>Sex Transm Dis</source>. (<year>2016</year>) <volume>43</volume>:<fpage>733</fpage>&#x2013;<lpage>6</lpage>. doi: <pub-id pub-id-type="doi">10.1097/OLQ.0000000000000528</pub-id>, PMID: <pub-id pub-id-type="pmid">27835624</pub-id></citation></ref>
<ref id="ref12"><label>12.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hossain</surname><given-names>M</given-names></name> <name><surname>Broutet</surname><given-names>N</given-names></name> <name><surname>Hawkes</surname><given-names>S</given-names></name></person-group>. <article-title>The elimination of congenital syphilis: a comparison of the proposed World Health Organization action plan for the elimination of congenital syphilis with existing National Maternal and congenital syphilis policies</article-title>. <source>Sex Transm Dis</source>. (<year>2007</year>) <volume>34</volume>:<fpage>S22</fpage>&#x2013;<lpage>30</lpage>. doi: <pub-id pub-id-type="doi">10.1097/01.olq.0000261049.84824.40</pub-id>, PMID: <pub-id pub-id-type="pmid">17592387</pub-id></citation></ref>
<ref id="ref13"><label>13.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kanyangarara</surname><given-names>M</given-names></name> <name><surname>Walker</surname><given-names>N</given-names></name> <name><surname>Boerma</surname><given-names>T</given-names></name></person-group>. <article-title>Gaps in the implementation of antenatal syphilis detection and treatment in health facilities across sub-Saharan Africa</article-title>. <source>PLoS One</source>. (<year>2018</year>) <volume>13</volume>:<fpage>e0198622</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pone.0198622</pub-id>, PMID: <pub-id pub-id-type="pmid">29856849</pub-id></citation></ref>
<ref id="ref14"><label>14.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kamb</surname><given-names>ML</given-names></name> <name><surname>Newman</surname><given-names>LM</given-names></name> <name><surname>Riley</surname><given-names>PL</given-names></name> <name><surname>Mark</surname><given-names>J</given-names></name> <name><surname>Hawkes</surname><given-names>SJ</given-names></name> <name><surname>Malik</surname><given-names>T</given-names></name> <etal/></person-group>. <article-title>A road map for the global elimination of congenital syphilis</article-title>. <source>Obstet Gynecol Int</source>. (<year>2010</year>) <volume>2010</volume>:<fpage>1</fpage>&#x2013;<lpage>6</lpage>. doi: <pub-id pub-id-type="doi">10.1155/2010/312798</pub-id>, PMID: <pub-id pub-id-type="pmid">20706693</pub-id></citation></ref>
<ref id="ref15"><label>15.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Newman</surname><given-names>L</given-names></name> <name><surname>Kamb</surname><given-names>M</given-names></name> <name><surname>Hawkes</surname><given-names>S</given-names></name> <name><surname>Gomez</surname><given-names>G</given-names></name> <name><surname>Say</surname><given-names>L</given-names></name> <name><surname>Seuc</surname><given-names>A</given-names></name> <etal/></person-group>. <article-title>Global estimates of syphilis in pregnancy and associated adverse outcomes: analysis of multinational antenatal surveillance data</article-title>. <source>PLoS Med</source>. (<year>2013</year>) <volume>10</volume>:<fpage>e1001396</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pmed.1001396</pub-id>, PMID: <pub-id pub-id-type="pmid">23468598</pub-id></citation></ref>
<ref id="ref16"><label>16.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gilbert</surname><given-names>L</given-names></name> <name><surname>Dear</surname><given-names>N</given-names></name> <name><surname>Esber</surname><given-names>A</given-names></name> <name><surname>Iroezindu</surname><given-names>M</given-names></name> <name><surname>Bahemana</surname><given-names>E</given-names></name> <name><surname>Kibuuka</surname><given-names>H</given-names></name> <etal/></person-group>. <article-title>Prevalence and risk factors associated with HIV and syphilis co-infection in the African cohort study: a cross-sectional study</article-title>. <source>BMC Infect Dis</source>. (<year>2021</year>) <volume>21</volume>:<fpage>1123</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s12879-021-06668-6</pub-id>, PMID: <pub-id pub-id-type="pmid">34717564</pub-id></citation></ref>
<ref id="ref17"><label>17.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hoque</surname><given-names>ME</given-names></name> <name><surname>Hal G</surname><given-names>van</given-names></name> <name><surname>Buckus</surname><given-names>S</given-names></name></person-group>. <article-title>Prevalence, incidence and seroconversion of HIV and Syphilis infections among pregnant women of South Africa</article-title>. <source>S Afr J Infect Dis</source>. (<year>2021</year>) <volume>6</volume>:<fpage>296</fpage>. doi: <pub-id pub-id-type="doi">10.4102/sajid.v36i1.296</pub-id>, PMID: <pub-id pub-id-type="pmid">34917677</pub-id></citation></ref>
<ref id="ref18"><label>18.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Taylor</surname><given-names>MM</given-names></name> <name><surname>Ebrahim</surname><given-names>S</given-names></name> <name><surname>Abiola</surname><given-names>N</given-names></name> <name><surname>Kinkodi</surname><given-names>DK</given-names></name> <name><surname>Mpingulu</surname><given-names>M</given-names></name> <name><surname>Kabuayi</surname><given-names>JP</given-names></name> <etal/></person-group>. <article-title>Correlates of syphilis seropositivity and risk for syphilis-associated adverse pregnancy outcomes among women attending antenatal care clinics in the Democratic Republic of Congo</article-title>. <source>Int J STD AIDS</source>. (<year>2014</year>) <volume>25</volume>:<fpage>716</fpage>&#x2013;<lpage>25</lpage>. doi: <pub-id pub-id-type="doi">10.1177/0956462413518194</pub-id>, PMID: <pub-id pub-id-type="pmid">24452733</pub-id></citation></ref>
<ref id="ref19"><label>19.</label><citation citation-type="other"><person-group person-group-type="author"><collab id="coll1">Ministry of Health</collab></person-group>. <source>Malawi standard treatment guidelines (MSTG): Incorporating Malawi essential medicines list (MEML)</source>. <publisher-name>Government Press</publisher-name> (<year>2015</year>).</citation></ref>
<ref id="ref20"><label>20.</label><citation citation-type="other"><person-group person-group-type="author"><collab id="coll2">Ministry of Health Malawi</collab></person-group>. <source>Malawi national health indicators</source>. <publisher-name>Government Press</publisher-name> (<year>2023</year>).</citation></ref>
<ref id="ref21"><label>21.</label><citation citation-type="book"><person-group person-group-type="author"><collab id="coll3">National Statistical Office (NSO) [Malawi] and ICF</collab></person-group>. <source>Malawi demographic and health survey 2015&#x2013;16</source>. <publisher-loc>Zomba, Malawi, and Rockville, Maryland</publisher-loc>: <publisher-name>NSO and ICF</publisher-name> (<year>2017</year>).</citation></ref>
<ref id="ref22"><label>22.</label><citation citation-type="other"><person-group person-group-type="author"><name><surname>Geweke</surname><given-names>J</given-names></name> <name><surname>In</surname><given-names>F</given-names></name></person-group>. <source>Evaluating the accuracy of sampling-based approaches to the calculation of posterior moments</source>, vol. <volume>4</volume> (<year>1995</year>).</citation></ref>
<ref id="ref23"><label>23.</label><citation citation-type="book"><person-group person-group-type="author"><collab id="coll4">R Core Team</collab></person-group>. <source>R: A language and environment for statistical computing</source>. <publisher-loc>Vienna, Austria</publisher-loc>: <publisher-name>R Foundation for Statistical Computing</publisher-name> (<year>2022</year>).</citation></ref>
<ref id="ref24"><label>24.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kimball</surname><given-names>AA</given-names></name> <name><surname>Torrone</surname><given-names>EA</given-names></name> <name><surname>Bernstein</surname><given-names>KT</given-names></name> <name><surname>Grey</surname><given-names>JA</given-names></name> <name><surname>Bowen</surname><given-names>VB</given-names></name> <name><surname>Rickless</surname><given-names>DS</given-names></name> <etal/></person-group>. <article-title>Predicting emergence of primary and secondary syphilis among women of reproductive age in US counties</article-title>. <source>Sex Transm Dis</source>. (<year>2022</year>) <volume>49</volume>:<fpage>177</fpage>&#x2013;<lpage>83</lpage>. doi: <pub-id pub-id-type="doi">10.1097/OLQ.0000000000001573</pub-id>, PMID: <pub-id pub-id-type="pmid">34694275</pub-id></citation></ref>
<ref id="ref25"><label>25.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Johnson</surname><given-names>KA</given-names></name> <name><surname>Snyder</surname><given-names>RE</given-names></name> <name><surname>Tang</surname><given-names>EC</given-names></name> <name><surname>de Guzman</surname><given-names>NS</given-names></name> <name><surname>Plotzker</surname><given-names>RE</given-names></name> <name><surname>Murphy</surname><given-names>R</given-names></name> <etal/></person-group>. <article-title>Geospatial social determinants of health correlate with disparities in syphilis and congenital syphilis cases in California</article-title>. <source>Pathogens</source>. (<year>2022</year>) <volume>11</volume>:<fpage>547</fpage>. doi: <pub-id pub-id-type="doi">10.3390/pathogens11050547</pub-id>, PMID: <pub-id pub-id-type="pmid">35631068</pub-id></citation></ref>
<ref id="ref26"><label>26.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>de Souza</surname><given-names>CDF</given-names></name> <name><surname>Machado</surname><given-names>MF</given-names></name> <name><surname>Correia</surname><given-names>DS</given-names></name> <name><surname>do Carmo</surname><given-names>RF</given-names></name> <name><surname>Cuevas</surname><given-names>LE</given-names></name> <name><surname>Santos</surname><given-names>VS</given-names></name></person-group>. <article-title>Spatiotemporal clustering, social vulnerability and risk of congenital syphilis in Northeast Brazil: an ecological study</article-title>. <source>Trans R Soc Trop Med Hyg</source>. (<year>2020</year>) <volume>114</volume>:<fpage>657</fpage>&#x2013;<lpage>65</lpage>. doi: <pub-id pub-id-type="doi">10.1093/trstmh/traa034</pub-id>, PMID: <pub-id pub-id-type="pmid">32537650</pub-id></citation></ref>
<ref id="ref27"><label>27.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Graepp Fontoura</surname><given-names>I</given-names></name> <name><surname>Lima</surname><given-names>VC</given-names></name> <name><surname>Fontoura</surname><given-names>VM</given-names></name> <name><surname>Santos</surname><given-names>FS</given-names></name> <name><surname>de Jesus Costa</surname><given-names>ACP</given-names></name> <name><surname>de Oliveira</surname><given-names>FJF</given-names></name> <etal/></person-group>. <article-title>Spatial analysis of congenital syphilis in a federative unit in northeastern Brazil</article-title>. <source>Trans R Soc Trop Med Hyg</source>. (<year>2021</year>) <volume>115</volume>:<fpage>1207</fpage>&#x2013;<lpage>17</lpage>. doi: <pub-id pub-id-type="doi">10.1093/trstmh/traa191</pub-id></citation></ref>
<ref id="ref28"><label>28.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Marinho de Souza</surname><given-names>J</given-names></name> <name><surname>Giuffrida</surname><given-names>R</given-names></name> <name><surname>Ramos</surname><given-names>APM</given-names></name> <name><surname>Morceli</surname><given-names>G</given-names></name> <name><surname>Coelho</surname><given-names>CH</given-names></name> <name><surname>Pimenta Rodrigues</surname><given-names>MV</given-names></name></person-group>. <article-title>Mother-to-child transmission and gestational syphilis: spatial-temporal epidemiology and demographics in a Brazilian region</article-title>. <source>PLoS Negl Trop Dis</source>. (<year>2019</year>) <volume>13</volume>:<fpage>e0007122</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pntd.0007122</pub-id>, PMID: <pub-id pub-id-type="pmid">30789909</pub-id></citation></ref>
<ref id="ref29"><label>29.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Medeiros</surname><given-names>JAR</given-names></name> <name><surname>Yamamura</surname><given-names>M</given-names></name> <name><surname>da Silva</surname><given-names>ZP</given-names></name> <name><surname>Domingues</surname><given-names>CSB</given-names></name> <name><surname>Waldman</surname><given-names>EA</given-names></name> <name><surname>Chiaravalloti-Neto</surname><given-names>F</given-names></name></person-group>. <article-title>Spatiotemporal dynamics of syphilis in pregnant women and congenital syphilis in the state of S&#x00E3;o Paulo, Brazil</article-title>. <source>Sci Rep</source>. (<year>2022</year>) <volume>12</volume>:<fpage>585</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41598-021-04530-y</pub-id>, PMID: <pub-id pub-id-type="pmid">35022472</pub-id></citation></ref>
<ref id="ref30"><label>30.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Nunes</surname><given-names>PS</given-names></name> <name><surname>Guimar&#x00E3;es</surname><given-names>RA</given-names></name> <name><surname>Rosado</surname><given-names>LEP</given-names></name> <name><surname>Marinho</surname><given-names>TA</given-names></name> <name><surname>De</surname><given-names>A&#x00C9;C</given-names></name> <name><surname>Turchi</surname><given-names>MD</given-names></name></person-group>. <article-title>Tend&#x00EA;ncia temporal e distribui&#x00E7;&#x00E3;o espacial da s&#x00ED;filis gestacional e cong&#x00EA;nita em Goi&#x00E1;s, 2007-2017: um estudo ecol&#x00F3;gico</article-title>. <source>Epidemiologia e Servi&#x00E7;os de Sa&#x00FA;de</source>. (<year>2021</year>) <volume>30</volume>:<fpage>e2019371</fpage>. doi: <pub-id pub-id-type="doi">10.1590/s1679-49742021000100002</pub-id>, PMID: <pub-id pub-id-type="pmid">33503212</pub-id></citation></ref>
<ref id="ref31"><label>31.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>De</surname><given-names>OLR</given-names></name> <name><surname>Dos</surname><given-names>SES</given-names></name> <name><surname>Souto</surname><given-names>FJD</given-names></name></person-group>. <article-title>Syphilis in pregnant women and congenital syphilis: spatial pattern and relationship with social determinants of health in Mato Grosso</article-title>. <source>Rev Soc Bras Med Trop</source>. (<year>2020</year>) <volume>53</volume>:<fpage>e20200316</fpage>. doi: <pub-id pub-id-type="doi">10.1590/0037-8682-0316-2020</pub-id>, PMID: <pub-id pub-id-type="pmid">33111911</pub-id></citation></ref>
<ref id="ref32"><label>32.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Raimundo</surname><given-names>DM</given-names></name> <name><surname>Sousa</surname><given-names>GJB</given-names></name> <name><surname>da Silva</surname><given-names>ABP</given-names></name> <name><surname>Almino</surname><given-names>RHSC</given-names></name> <name><surname>Prado</surname><given-names>NC d C</given-names></name> <name><surname>da Silva</surname><given-names>RAR</given-names></name> <etal/></person-group>. <article-title>Spatial analysis of congenital syphilis in the state of Rio Grande do Norte, between 2008 and 2018</article-title>. <source>Rev Esc Enferm USP</source>. (<year>2021</year>) <volume>55</volume>:<fpage>55</fpage>. doi: <pub-id pub-id-type="doi">10.1590/1980-220x-reeusp-2020-0578</pub-id></citation></ref>
<ref id="ref33"><label>33.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>KKS</surname><given-names>S</given-names></name> <name><surname>TND</surname><given-names>P</given-names></name> <name><surname>Zandonade</surname><given-names>E</given-names></name> <name><surname>Moreira-Silva</surname><given-names>SF</given-names></name> <name><surname>Miranda</surname><given-names>AE</given-names></name></person-group>. <article-title>An&#x00E1;lise espacial da s&#x00ED;filis em gestantes e s&#x00ED;filis cong&#x00EA;nita no estado do Esp&#x00ED;rito Santo, 2011-2018&#x002A;</article-title>. <source>Epidemiologia e Servi&#x00E7;os de Sa&#x00FA;de</source>. (<year>2020</year>) <volume>29</volume>:<fpage>e2018193</fpage>. doi: <pub-id pub-id-type="doi">10.5123/S1679-49742020000100018</pub-id>, PMID: <pub-id pub-id-type="pmid">32490938</pub-id></citation></ref>
<ref id="ref34"><label>34.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Seabra</surname><given-names>I</given-names></name> <name><surname>Ferreira</surname><given-names>GRON</given-names></name> <name><surname>Sorensen</surname><given-names>W</given-names></name> <name><surname>Oliveira</surname><given-names>C</given-names></name> <name><surname>Parente</surname><given-names>AT</given-names></name> <name><surname>Gir</surname><given-names>E</given-names></name> <etal/></person-group>. <article-title>Spatial scenery of congenital syphilis in Brazil between 2007 and 2018: an ecological study</article-title>. <source>BMJ Open</source>. (<year>2022</year>) <volume>12</volume>:<fpage>e058270</fpage>. doi: <pub-id pub-id-type="doi">10.1136/bmjopen-2021-058270</pub-id>, PMID: <pub-id pub-id-type="pmid">35443962</pub-id></citation></ref>
<ref id="ref35"><label>35.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cambou</surname><given-names>MC</given-names></name> <name><surname>Saad</surname><given-names>E</given-names></name> <name><surname>McBride</surname><given-names>K</given-names></name> <name><surname>Fuller</surname><given-names>T</given-names></name> <name><surname>Swayze</surname><given-names>E</given-names></name> <name><surname>Nielsen-Saines</surname><given-names>K</given-names></name></person-group>. <article-title>Maternal HIV and syphilis are not syndemic in Brazil: hot spot analysis of the two epidemics</article-title>. <source>PLoS One</source>. (<year>2021</year>) <volume>16</volume>:<fpage>e0255590</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pone.0255590</pub-id></citation></ref>
<ref id="ref36"><label>36.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Huang</surname><given-names>J</given-names></name> <name><surname>Wu</surname><given-names>H</given-names></name> <name><surname>Lin</surname><given-names>S</given-names></name> <name><surname>Lu</surname><given-names>L</given-names></name> <name><surname>Zheng</surname><given-names>J</given-names></name> <name><surname>Liu</surname><given-names>B</given-names></name> <etal/></person-group>. <article-title>Spatial&#x2212;temporal analysis of HIV/AIDS and syphilis in mainland China from 2007 to 2017</article-title>. <source>J Med Virol</source>. (<year>2022</year>) <volume>94</volume>:<fpage>3328</fpage>&#x2013;<lpage>37</lpage>. doi: <pub-id pub-id-type="doi">10.1002/jmv.27725</pub-id></citation></ref>
<ref id="ref37"><label>37.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Manda</surname><given-names>SOM</given-names></name> <name><surname>Lombard</surname><given-names>CJ</given-names></name> <name><surname>Mosala</surname><given-names>T</given-names></name></person-group>. <article-title>Divergent spatial patterns in the prevalence of the human immunodeficiency virus (HIV) and syphilis in south African pregnant women</article-title>. <source>Geospat Health</source>. (<year>2012</year>) <volume>6</volume>:<fpage>221</fpage>&#x2013;<lpage>31</lpage>. doi: <pub-id pub-id-type="doi">10.4081/gh.2012.140</pub-id>, PMID: <pub-id pub-id-type="pmid">22639124</pub-id></citation></ref>
<ref id="ref38"><label>38.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tang</surname><given-names>S</given-names></name> <name><surname>Shi</surname><given-names>L</given-names></name> <name><surname>Chen</surname><given-names>W</given-names></name> <name><surname>Zhao</surname><given-names>P</given-names></name> <name><surname>Zheng</surname><given-names>H</given-names></name> <name><surname>Yang</surname><given-names>B</given-names></name> <etal/></person-group>. <article-title>Spatiotemporal distribution and sociodemographic and socioeconomic factors associated with primary and secondary syphilis in Guangdong, China, 2005&#x2013;2017</article-title>. <source>PLoS Negl Trop Dis</source>. (<year>2021</year>) <volume>15</volume>:<fpage>e0009621</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pntd.0009621</pub-id>, PMID: <pub-id pub-id-type="pmid">34383788</pub-id></citation></ref>
<ref id="ref39"><label>39.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Banda</surname><given-names>M</given-names></name> <name><surname>Kazembe</surname><given-names>L</given-names></name> <name><surname>Lewycka</surname><given-names>S</given-names></name> <name><surname>King</surname><given-names>C</given-names></name> <name><surname>Phiri</surname><given-names>T</given-names></name> <name><surname>Masache</surname><given-names>G</given-names></name> <etal/></person-group>. <article-title>Spatial modelling of perinatal mortality in Mchinji, Malawi</article-title>. <source>Spat Spatiotemporal Epidemiol</source>. (<year>2016</year>) <volume>16</volume>:<fpage>50</fpage>&#x2013;<lpage>8</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.sste.2015.11.004</pub-id>, PMID: <pub-id pub-id-type="pmid">26919755</pub-id></citation></ref>
<ref id="ref40"><label>40.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Shaffer</surname><given-names>N</given-names></name> <name><surname>Taylor</surname><given-names>M</given-names></name> <name><surname>Newman</surname><given-names>M</given-names></name> <name><surname>Nuwagira</surname><given-names>I</given-names></name> <name><surname>Bigirimana</surname><given-names>F</given-names></name> <name><surname>Regis</surname><given-names>MD</given-names></name> <etal/></person-group>. <article-title>WHO&#x2019;s path to elimination of mother-to-child transmission of HIV and syphilis</article-title>. <source>BMJ</source>. (<year>2020</year>) <volume>368</volume>:<fpage>m562</fpage>. doi: <pub-id pub-id-type="doi">10.1136/bmj.m562</pub-id>, PMID: <pub-id pub-id-type="pmid">32066590</pub-id></citation></ref>
<ref id="ref41"><label>41.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>De</surname><given-names>MVC</given-names></name> <name><surname>De</surname><given-names>LPIC</given-names></name> <name><surname>De</surname><given-names>FPG</given-names></name> <name><surname>Romaguera</surname><given-names>LMD</given-names></name> <name><surname>Caires</surname><given-names>S</given-names></name> <name><surname>De</surname><given-names>FF</given-names></name> <etal/></person-group>. <article-title>Risk factors for syphilis in women: case-control study</article-title>. <source>Rev Saude Publica</source>. (<year>2017</year>) <volume>51</volume>:<fpage>78</fpage>. doi: <pub-id pub-id-type="doi">10.11606/s1518-8787.2017051007066</pub-id>, PMID: <pub-id pub-id-type="pmid">28832758</pub-id></citation></ref>
<ref id="ref42"><label>42.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Paixao</surname><given-names>ES</given-names></name> <name><surname>Ferreira</surname><given-names>AJF</given-names></name> <name><surname>Pescarini</surname><given-names>JM</given-names></name> <name><surname>Wong</surname><given-names>KLM</given-names></name> <name><surname>Goes</surname><given-names>E</given-names></name> <name><surname>Fiaccone</surname><given-names>R</given-names></name> <etal/></person-group>. <article-title>Maternal and congenital syphilis attributable to ethnoracial inequalities: a national record-linkage longitudinal study of 15 million births in Brazil</article-title>. <source>Lancet Glob Health</source>. (<year>2023</year>) <volume>11</volume>:<fpage>e1734</fpage>&#x2013;<lpage>42</lpage>. doi: <pub-id pub-id-type="doi">10.1016/S2214-109X(23)00405-9</pub-id></citation></ref>
<ref id="ref43"><label>43.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ullrich</surname><given-names>A</given-names></name> <name><surname>Schranz</surname><given-names>M</given-names></name> <name><surname>Rexroth</surname><given-names>U</given-names></name> <name><surname>Hamouda</surname><given-names>O</given-names></name> <name><surname>Schaade</surname><given-names>L</given-names></name> <name><surname>Diercke</surname><given-names>M</given-names></name> <etal/></person-group>. <article-title>Impact of the COVID-19 pandemic and associated non-pharmaceutical interventions on other notifiable infectious diseases in Germany: an analysis of national surveillance data during week 1&#x2013;2016 &#x2013; week 32&#x2013;2020</article-title>. <source>Lancet Reg Health Eur</source>. (<year>2021</year>) <volume>6</volume>:<fpage>100103</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.lanepe.2021.100103</pub-id></citation></ref>
<ref id="ref44"><label>44.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sent&#x00ED;s</surname><given-names>A</given-names></name> <name><surname>Prats-Uribe</surname><given-names>A</given-names></name> <name><surname>L&#x00F3;pez-Corbeto</surname><given-names>E</given-names></name> <name><surname>Montoro-Fernandez</surname><given-names>M</given-names></name> <name><surname>Nomah</surname><given-names>DK</given-names></name> <name><surname>de Olalla</surname><given-names>PG</given-names></name> <etal/></person-group>. <article-title>The impact of the COVID-19 pandemic on sexually transmitted infections surveillance data: incidence drop or artefact?</article-title> <source>BMC Public Health</source>. (<year>2021</year>) <volume>21</volume>:<fpage>1637</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s12889-021-11630-x</pub-id>, PMID: <pub-id pub-id-type="pmid">34493244</pub-id></citation></ref>
</ref-list>
</back>
</article>