Assessing the drivers of syphilis among men who have sex with men in Switzerland reveals a key impact of screening frequency: A modelling study
Author summary Syphilis, one of the most common sexually transmitted infections, remains a major public health problem. Over the last decade, a rising number of diagnoses especially in men-who-have-sex-with-men (MSM) was observed in Western Europe and Northern America. In Switzerland, the number of...
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creator | Balakrishna, Suraj A. Salazar-Vizcaya, Luisa Schmidt, Axel Kachalov, Viacheslav Kusejko, Katharina Thurnheer, Maria Christine Roth, Jan F. Nicca, Dunja Cavassini, Matthias D. Battegay, Manuel Schmid, Patrick Bernasconi, Enos Guenthard, Huldrych Rauch, Andri Kouyos, Roger |
description | Author summary
Syphilis, one of the most common sexually transmitted infections, remains a major public health problem. Over the last decade, a rising number of diagnoses especially in men-who-have-sex-with-men (MSM) was observed in Western Europe and Northern America. In Switzerland, the number of syphilis diagnoses in MSM tripled between 2006 and 2017. In this study, we used a mathematical model to assess the drivers of this increase among MSM in Switzerland. Our model could reproduce the increase in syphilis diagnoses in both MSM with and without HIV diagnosis between 2006 and 2017. Based on this model we found that MSM with HIV diagnosis have an over 45 times higher syphilis incidence than MSM without HIV diagnosis. Furthermore, we found that reported sex with non-steady partners is a useful proxy of behavioral risk. Considering counterfactual scenarios, we showed that increasing the screening frequency for syphilis among MSM with HIV diagnosis and with non-steady partners from once a year to twice per year can reduce syphilis incidence by 63.5% to 99.2%.
Over the last decade, syphilis diagnoses among men-who-have-sex-with-men (MSM) have strongly increased in Europe. Understanding the drivers of the ongoing epidemic may aid to curb transmissions. In order to identify the drivers of syphilis transmission in MSM in Switzerland between 2006 and 2017 as well as the effect of potential interventions, we set up an epidemiological model stratified by syphilis stage, HIV-diagnosis, and behavioral factors to account for syphilis infectiousness and risk for transmission. In the main model, we used 'reported non-steady partners' (nsP) as the main proxy for sexual risk. We parameterized the model using data from the Swiss HIV Cohort Study, Swiss Voluntary Counselling and Testing center, cross-sectional surveys among the Swiss MSM population, and published syphilis notifications from the Federal Office of Public Health. The main model reproduced the increase in syphilis diagnoses from 168 cases in 2006 to 418 cases in 2017. It estimated that between 2006 and 2017, MSM with HIV diagnosis had 45.9 times the median syphilis incidence of MSM without HIV diagnosis. Defining risk as condomless anal intercourse with nsP decreased model accuracy (sum of squared weighted residuals, 378.8 vs. 148.3). Counterfactual scenarios suggested that increasing screening of MSM without HIV diagnosis and with nsP from once every two years to twice per year may reduce syphilis incidence |
doi_str_mv | 10.1371/journal.pcbi.1009529 |
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Syphilis, one of the most common sexually transmitted infections, remains a major public health problem. Over the last decade, a rising number of diagnoses especially in men-who-have-sex-with-men (MSM) was observed in Western Europe and Northern America. In Switzerland, the number of syphilis diagnoses in MSM tripled between 2006 and 2017. In this study, we used a mathematical model to assess the drivers of this increase among MSM in Switzerland. Our model could reproduce the increase in syphilis diagnoses in both MSM with and without HIV diagnosis between 2006 and 2017. Based on this model we found that MSM with HIV diagnosis have an over 45 times higher syphilis incidence than MSM without HIV diagnosis. Furthermore, we found that reported sex with non-steady partners is a useful proxy of behavioral risk. Considering counterfactual scenarios, we showed that increasing the screening frequency for syphilis among MSM with HIV diagnosis and with non-steady partners from once a year to twice per year can reduce syphilis incidence by 63.5% to 99.2%.
Over the last decade, syphilis diagnoses among men-who-have-sex-with-men (MSM) have strongly increased in Europe. Understanding the drivers of the ongoing epidemic may aid to curb transmissions. In order to identify the drivers of syphilis transmission in MSM in Switzerland between 2006 and 2017 as well as the effect of potential interventions, we set up an epidemiological model stratified by syphilis stage, HIV-diagnosis, and behavioral factors to account for syphilis infectiousness and risk for transmission. In the main model, we used 'reported non-steady partners' (nsP) as the main proxy for sexual risk. We parameterized the model using data from the Swiss HIV Cohort Study, Swiss Voluntary Counselling and Testing center, cross-sectional surveys among the Swiss MSM population, and published syphilis notifications from the Federal Office of Public Health. The main model reproduced the increase in syphilis diagnoses from 168 cases in 2006 to 418 cases in 2017. It estimated that between 2006 and 2017, MSM with HIV diagnosis had 45.9 times the median syphilis incidence of MSM without HIV diagnosis. Defining risk as condomless anal intercourse with nsP decreased model accuracy (sum of squared weighted residuals, 378.8 vs. 148.3). Counterfactual scenarios suggested that increasing screening of MSM without HIV diagnosis and with nsP from once every two years to twice per year may reduce syphilis incidence (at most 12.8% reduction by 2017). Whereas, increasing screening among MSM with HIV diagnosis and with nsP from once per year to twice per year may substantially reduce syphilis incidence over time (at least 63.5% reduction by 2017). The model suggests that reporting nsP regardless of condom use is suitable for risk stratification when modelling syphilis transmission. More frequent screening of MSM with HIV diagnosis, particularly those with nsP may aid to curb syphilis transmission.</description><identifier>ISSN: 1553-734X</identifier><identifier>ISSN: 1553-7358</identifier><identifier>EISSN: 1553-7358</identifier><identifier>DOI: 10.1371/journal.pcbi.1009529</identifier><identifier>PMID: 34699524</identifier><language>eng</language><publisher>SAN FRANCISCO: Public Library Science</publisher><subject><![CDATA[Adult ; Biochemical Research Methods ; Biochemistry & Molecular Biology ; Computational Biology ; Diagnosis ; Disease transmission ; Epidemic models ; Epidemics ; Epidemiology ; Health aspects ; Health risks ; HIV ; HIV Infections - diagnosis ; HIV Infections - epidemiology ; Homosexuality, Male - statistics & numerical data ; Human immunodeficiency virus ; Humans ; Incidence ; Infections ; Life Sciences & Biomedicine ; Male ; Mass Screening - statistics & numerical data ; Mathematical & Computational Biology ; Mathematical models ; Medical screening ; Medicine and Health Sciences ; Middle Aged ; Model accuracy ; Modelling ; MSM (Men who have sex with men) ; Ordinary differential equations ; People and Places ; Public health ; Reduction ; Risk ; Risk factors ; Science & Technology ; Screening ; Sexually transmitted diseases ; Statistics ; STD ; Survival analysis ; Switzerland - epidemiology ; Syphilis ; Syphilis - diagnosis ; Syphilis - epidemiology ; Syphilis - prevention & control ; Syphilis - transmission ; Unsafe Sex - statistics & numerical data]]></subject><ispartof>PLoS computational biology, 2021-10, Vol.17 (10), p.e1009529-e1009529, Article 1009529</ispartof><rights>COPYRIGHT 2021 Public Library of Science</rights><rights>2021 Balakrishna et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2021 Balakrishna et al 2021 Balakrishna et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>7</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000713486200003</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c661t-2342dc7da81b54f87d1f46453ef931af408a7879201546ccc0b19848343109203</citedby><cites>FETCH-LOGICAL-c661t-2342dc7da81b54f87d1f46453ef931af408a7879201546ccc0b19848343109203</cites><orcidid>0000-0002-0310-3764 ; 0000-0002-9724-8373 ; 0000-0003-0933-7833 ; 0000-0002-1142-6723 ; 0000-0001-5297-6062 ; 0000-0002-4133-8177 ; 0000-0002-4638-1940 ; 0000-0001-9250-4078 ; 0000-0003-1357-0347 ; 0000-0002-9220-8348 ; 0000-0002-6638-3679</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8570495/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8570495/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,865,886,2103,2115,2929,23871,27929,27930,39263,53796,53798</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34699524$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Althouse, Benjamin Muir</contributor><creatorcontrib>Balakrishna, Suraj A.</creatorcontrib><creatorcontrib>Salazar-Vizcaya, Luisa</creatorcontrib><creatorcontrib>Schmidt, Axel</creatorcontrib><creatorcontrib>Kachalov, Viacheslav</creatorcontrib><creatorcontrib>Kusejko, Katharina</creatorcontrib><creatorcontrib>Thurnheer, Maria Christine</creatorcontrib><creatorcontrib>Roth, Jan F.</creatorcontrib><creatorcontrib>Nicca, Dunja</creatorcontrib><creatorcontrib>Cavassini, Matthias D.</creatorcontrib><creatorcontrib>Battegay, Manuel</creatorcontrib><creatorcontrib>Schmid, Patrick</creatorcontrib><creatorcontrib>Bernasconi, Enos</creatorcontrib><creatorcontrib>Guenthard, Huldrych</creatorcontrib><creatorcontrib>Rauch, Andri</creatorcontrib><creatorcontrib>Kouyos, Roger</creatorcontrib><creatorcontrib>Swiss HIV Cohort Study SHCS</creatorcontrib><creatorcontrib>Swiss HIV Cohort Study (SHCS)</creatorcontrib><creatorcontrib>the Swiss HIV Cohort Study (SHCS)</creatorcontrib><title>Assessing the drivers of syphilis among men who have sex with men in Switzerland reveals a key impact of screening frequency: A modelling study</title><title>PLoS computational biology</title><addtitle>PLOS COMPUT BIOL</addtitle><addtitle>PLoS Comput Biol</addtitle><description>Author summary
Syphilis, one of the most common sexually transmitted infections, remains a major public health problem. Over the last decade, a rising number of diagnoses especially in men-who-have-sex-with-men (MSM) was observed in Western Europe and Northern America. In Switzerland, the number of syphilis diagnoses in MSM tripled between 2006 and 2017. In this study, we used a mathematical model to assess the drivers of this increase among MSM in Switzerland. Our model could reproduce the increase in syphilis diagnoses in both MSM with and without HIV diagnosis between 2006 and 2017. Based on this model we found that MSM with HIV diagnosis have an over 45 times higher syphilis incidence than MSM without HIV diagnosis. Furthermore, we found that reported sex with non-steady partners is a useful proxy of behavioral risk. Considering counterfactual scenarios, we showed that increasing the screening frequency for syphilis among MSM with HIV diagnosis and with non-steady partners from once a year to twice per year can reduce syphilis incidence by 63.5% to 99.2%.
Over the last decade, syphilis diagnoses among men-who-have-sex-with-men (MSM) have strongly increased in Europe. Understanding the drivers of the ongoing epidemic may aid to curb transmissions. In order to identify the drivers of syphilis transmission in MSM in Switzerland between 2006 and 2017 as well as the effect of potential interventions, we set up an epidemiological model stratified by syphilis stage, HIV-diagnosis, and behavioral factors to account for syphilis infectiousness and risk for transmission. In the main model, we used 'reported non-steady partners' (nsP) as the main proxy for sexual risk. We parameterized the model using data from the Swiss HIV Cohort Study, Swiss Voluntary Counselling and Testing center, cross-sectional surveys among the Swiss MSM population, and published syphilis notifications from the Federal Office of Public Health. The main model reproduced the increase in syphilis diagnoses from 168 cases in 2006 to 418 cases in 2017. It estimated that between 2006 and 2017, MSM with HIV diagnosis had 45.9 times the median syphilis incidence of MSM without HIV diagnosis. Defining risk as condomless anal intercourse with nsP decreased model accuracy (sum of squared weighted residuals, 378.8 vs. 148.3). Counterfactual scenarios suggested that increasing screening of MSM without HIV diagnosis and with nsP from once every two years to twice per year may reduce syphilis incidence (at most 12.8% reduction by 2017). Whereas, increasing screening among MSM with HIV diagnosis and with nsP from once per year to twice per year may substantially reduce syphilis incidence over time (at least 63.5% reduction by 2017). The model suggests that reporting nsP regardless of condom use is suitable for risk stratification when modelling syphilis transmission. More frequent screening of MSM with HIV diagnosis, particularly those with nsP may aid to curb syphilis transmission.</description><subject>Adult</subject><subject>Biochemical Research Methods</subject><subject>Biochemistry & Molecular Biology</subject><subject>Computational Biology</subject><subject>Diagnosis</subject><subject>Disease transmission</subject><subject>Epidemic models</subject><subject>Epidemics</subject><subject>Epidemiology</subject><subject>Health aspects</subject><subject>Health risks</subject><subject>HIV</subject><subject>HIV Infections - diagnosis</subject><subject>HIV Infections - epidemiology</subject><subject>Homosexuality, Male - statistics & numerical data</subject><subject>Human immunodeficiency virus</subject><subject>Humans</subject><subject>Incidence</subject><subject>Infections</subject><subject>Life Sciences & Biomedicine</subject><subject>Male</subject><subject>Mass Screening - statistics & numerical data</subject><subject>Mathematical & Computational Biology</subject><subject>Mathematical models</subject><subject>Medical screening</subject><subject>Medicine and Health Sciences</subject><subject>Middle Aged</subject><subject>Model accuracy</subject><subject>Modelling</subject><subject>MSM (Men who have sex with men)</subject><subject>Ordinary differential equations</subject><subject>People and Places</subject><subject>Public health</subject><subject>Reduction</subject><subject>Risk</subject><subject>Risk factors</subject><subject>Science & Technology</subject><subject>Screening</subject><subject>Sexually transmitted diseases</subject><subject>Statistics</subject><subject>STD</subject><subject>Survival analysis</subject><subject>Switzerland - epidemiology</subject><subject>Syphilis</subject><subject>Syphilis - diagnosis</subject><subject>Syphilis - epidemiology</subject><subject>Syphilis - prevention & control</subject><subject>Syphilis - transmission</subject><subject>Unsafe Sex - statistics & numerical 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the drivers of syphilis among men who have sex with men in Switzerland reveals a key impact of screening frequency: A modelling study</title><author>Balakrishna, Suraj A. ; Salazar-Vizcaya, Luisa ; Schmidt, Axel ; Kachalov, Viacheslav ; Kusejko, Katharina ; Thurnheer, Maria Christine ; Roth, Jan F. ; Nicca, Dunja ; Cavassini, Matthias D. ; Battegay, Manuel ; Schmid, Patrick ; Bernasconi, Enos ; Guenthard, Huldrych ; Rauch, Andri ; Kouyos, Roger</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c661t-2342dc7da81b54f87d1f46453ef931af408a7879201546ccc0b19848343109203</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adult</topic><topic>Biochemical Research Methods</topic><topic>Biochemistry & Molecular Biology</topic><topic>Computational Biology</topic><topic>Diagnosis</topic><topic>Disease transmission</topic><topic>Epidemic models</topic><topic>Epidemics</topic><topic>Epidemiology</topic><topic>Health aspects</topic><topic>Health risks</topic><topic>HIV</topic><topic>HIV Infections - diagnosis</topic><topic>HIV Infections - epidemiology</topic><topic>Homosexuality, Male - statistics & numerical data</topic><topic>Human immunodeficiency virus</topic><topic>Humans</topic><topic>Incidence</topic><topic>Infections</topic><topic>Life Sciences & Biomedicine</topic><topic>Male</topic><topic>Mass Screening - statistics & numerical data</topic><topic>Mathematical & Computational Biology</topic><topic>Mathematical models</topic><topic>Medical screening</topic><topic>Medicine and Health Sciences</topic><topic>Middle Aged</topic><topic>Model accuracy</topic><topic>Modelling</topic><topic>MSM (Men who have sex with men)</topic><topic>Ordinary differential equations</topic><topic>People and Places</topic><topic>Public health</topic><topic>Reduction</topic><topic>Risk</topic><topic>Risk factors</topic><topic>Science & Technology</topic><topic>Screening</topic><topic>Sexually transmitted diseases</topic><topic>Statistics</topic><topic>STD</topic><topic>Survival analysis</topic><topic>Switzerland - epidemiology</topic><topic>Syphilis</topic><topic>Syphilis - diagnosis</topic><topic>Syphilis - epidemiology</topic><topic>Syphilis - prevention & control</topic><topic>Syphilis - transmission</topic><topic>Unsafe Sex - statistics & numerical data</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Balakrishna, Suraj A.</creatorcontrib><creatorcontrib>Salazar-Vizcaya, Luisa</creatorcontrib><creatorcontrib>Schmidt, Axel</creatorcontrib><creatorcontrib>Kachalov, Viacheslav</creatorcontrib><creatorcontrib>Kusejko, Katharina</creatorcontrib><creatorcontrib>Thurnheer, Maria Christine</creatorcontrib><creatorcontrib>Roth, Jan F.</creatorcontrib><creatorcontrib>Nicca, Dunja</creatorcontrib><creatorcontrib>Cavassini, Matthias D.</creatorcontrib><creatorcontrib>Battegay, Manuel</creatorcontrib><creatorcontrib>Schmid, Patrick</creatorcontrib><creatorcontrib>Bernasconi, Enos</creatorcontrib><creatorcontrib>Guenthard, Huldrych</creatorcontrib><creatorcontrib>Rauch, Andri</creatorcontrib><creatorcontrib>Kouyos, Roger</creatorcontrib><creatorcontrib>Swiss HIV Cohort Study SHCS</creatorcontrib><creatorcontrib>Swiss HIV Cohort Study (SHCS)</creatorcontrib><creatorcontrib>the Swiss HIV Cohort Study (SHCS)</creatorcontrib><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Web of Science - Science Citation Index Expanded - 2021</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Canada</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Computing Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Computing Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PLoS computational biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Balakrishna, Suraj A.</au><au>Salazar-Vizcaya, Luisa</au><au>Schmidt, Axel</au><au>Kachalov, Viacheslav</au><au>Kusejko, Katharina</au><au>Thurnheer, Maria Christine</au><au>Roth, Jan F.</au><au>Nicca, Dunja</au><au>Cavassini, Matthias D.</au><au>Battegay, Manuel</au><au>Schmid, Patrick</au><au>Bernasconi, Enos</au><au>Guenthard, Huldrych</au><au>Rauch, Andri</au><au>Kouyos, Roger</au><au>Althouse, Benjamin Muir</au><aucorp>Swiss HIV Cohort Study SHCS</aucorp><aucorp>Swiss HIV Cohort Study (SHCS)</aucorp><aucorp>the Swiss HIV Cohort Study (SHCS)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessing the drivers of syphilis among men who have sex with men in Switzerland reveals a key impact of screening frequency: A modelling study</atitle><jtitle>PLoS computational biology</jtitle><stitle>PLOS COMPUT BIOL</stitle><addtitle>PLoS Comput Biol</addtitle><date>2021-10-01</date><risdate>2021</risdate><volume>17</volume><issue>10</issue><spage>e1009529</spage><epage>e1009529</epage><pages>e1009529-e1009529</pages><artnum>1009529</artnum><issn>1553-734X</issn><issn>1553-7358</issn><eissn>1553-7358</eissn><abstract>Author summary
Syphilis, one of the most common sexually transmitted infections, remains a major public health problem. Over the last decade, a rising number of diagnoses especially in men-who-have-sex-with-men (MSM) was observed in Western Europe and Northern America. In Switzerland, the number of syphilis diagnoses in MSM tripled between 2006 and 2017. In this study, we used a mathematical model to assess the drivers of this increase among MSM in Switzerland. Our model could reproduce the increase in syphilis diagnoses in both MSM with and without HIV diagnosis between 2006 and 2017. Based on this model we found that MSM with HIV diagnosis have an over 45 times higher syphilis incidence than MSM without HIV diagnosis. Furthermore, we found that reported sex with non-steady partners is a useful proxy of behavioral risk. Considering counterfactual scenarios, we showed that increasing the screening frequency for syphilis among MSM with HIV diagnosis and with non-steady partners from once a year to twice per year can reduce syphilis incidence by 63.5% to 99.2%.
Over the last decade, syphilis diagnoses among men-who-have-sex-with-men (MSM) have strongly increased in Europe. Understanding the drivers of the ongoing epidemic may aid to curb transmissions. In order to identify the drivers of syphilis transmission in MSM in Switzerland between 2006 and 2017 as well as the effect of potential interventions, we set up an epidemiological model stratified by syphilis stage, HIV-diagnosis, and behavioral factors to account for syphilis infectiousness and risk for transmission. In the main model, we used 'reported non-steady partners' (nsP) as the main proxy for sexual risk. We parameterized the model using data from the Swiss HIV Cohort Study, Swiss Voluntary Counselling and Testing center, cross-sectional surveys among the Swiss MSM population, and published syphilis notifications from the Federal Office of Public Health. The main model reproduced the increase in syphilis diagnoses from 168 cases in 2006 to 418 cases in 2017. It estimated that between 2006 and 2017, MSM with HIV diagnosis had 45.9 times the median syphilis incidence of MSM without HIV diagnosis. Defining risk as condomless anal intercourse with nsP decreased model accuracy (sum of squared weighted residuals, 378.8 vs. 148.3). Counterfactual scenarios suggested that increasing screening of MSM without HIV diagnosis and with nsP from once every two years to twice per year may reduce syphilis incidence (at most 12.8% reduction by 2017). Whereas, increasing screening among MSM with HIV diagnosis and with nsP from once per year to twice per year may substantially reduce syphilis incidence over time (at least 63.5% reduction by 2017). The model suggests that reporting nsP regardless of condom use is suitable for risk stratification when modelling syphilis transmission. More frequent screening of MSM with HIV diagnosis, particularly those with nsP may aid to curb syphilis transmission.</abstract><cop>SAN FRANCISCO</cop><pub>Public Library Science</pub><pmid>34699524</pmid><doi>10.1371/journal.pcbi.1009529</doi><tpages>18</tpages><orcidid>https://orcid.org/0000-0002-0310-3764</orcidid><orcidid>https://orcid.org/0000-0002-9724-8373</orcidid><orcidid>https://orcid.org/0000-0003-0933-7833</orcidid><orcidid>https://orcid.org/0000-0002-1142-6723</orcidid><orcidid>https://orcid.org/0000-0001-5297-6062</orcidid><orcidid>https://orcid.org/0000-0002-4133-8177</orcidid><orcidid>https://orcid.org/0000-0002-4638-1940</orcidid><orcidid>https://orcid.org/0000-0001-9250-4078</orcidid><orcidid>https://orcid.org/0000-0003-1357-0347</orcidid><orcidid>https://orcid.org/0000-0002-9220-8348</orcidid><orcidid>https://orcid.org/0000-0002-6638-3679</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1553-734X |
ispartof | PLoS computational biology, 2021-10, Vol.17 (10), p.e1009529-e1009529, Article 1009529 |
issn | 1553-734X 1553-7358 1553-7358 |
language | eng |
recordid | cdi_gale_incontextgauss_ISN_A681018349 |
source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Public Library of Science (PLoS); Web of Science - Science Citation Index Expanded - 2021<img src="https://exlibris-pub.s3.amazonaws.com/fromwos-v2.jpg" />; PubMed Central |
subjects | Adult Biochemical Research Methods Biochemistry & Molecular Biology Computational Biology Diagnosis Disease transmission Epidemic models Epidemics Epidemiology Health aspects Health risks HIV HIV Infections - diagnosis HIV Infections - epidemiology Homosexuality, Male - statistics & numerical data Human immunodeficiency virus Humans Incidence Infections Life Sciences & Biomedicine Male Mass Screening - statistics & numerical data Mathematical & Computational Biology Mathematical models Medical screening Medicine and Health Sciences Middle Aged Model accuracy Modelling MSM (Men who have sex with men) Ordinary differential equations People and Places Public health Reduction Risk Risk factors Science & Technology Screening Sexually transmitted diseases Statistics STD Survival analysis Switzerland - epidemiology Syphilis Syphilis - diagnosis Syphilis - epidemiology Syphilis - prevention & control Syphilis - transmission Unsafe Sex - statistics & numerical data |
title | Assessing the drivers of syphilis among men who have sex with men in Switzerland reveals a key impact of screening frequency: A modelling study |
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