{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T15:11:31Z","timestamp":1772118691845,"version":"3.50.1"},"reference-count":40,"publisher":"Wiley","issue":"9","license":[{"start":{"date-parts":[[2020,9,28]],"date-time":"2020-09-28T00:00:00Z","timestamp":1601251200000},"content-version":"vor","delay-in-days":27,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001711","name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung","doi-asserted-by":"publisher","award":["163878"],"award-info":[{"award-number":["163878"]}],"id":[{"id":"10.13039\/501100001711","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J. Intern. AIDS Soc."],"published-print":{"date-parts":[[2020,9]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>Within many sub\u2010Saharan African countries including Malawi, HIV prevalence varies widely between regions. This variability may be related to the distribution of population groups with specific sociobehavioural characteristics that influence the transmission of HIV and the uptake of prevention. In this study, we intended to identify groups of people in Malawi with similar risk profiles.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We used data from the Demographic and Health Survey in Malawi (2015 to 2016), and stratified the analysis by sex. We considered demographic, socio\u2010behavioural and HIV\u2010related variables. Using Latent Class Analysis (LCA), we identified groups of people sharing common sociobehavioural characteristics. The optimal number of classes (groups) was selected based on the Bayesian information criterion. We compared the proportions of individuals belonging to the different groups across the three regions and 28 districts of Malawi.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>We found nine groups of women and six groups of men. Most women in the groups with highest risk of being HIV positive were living in female\u2010headed households and were formerly married or in a union. Among men, older men had the highest risk of being HIV positive, followed by young (20 to 25) single men. Generally, low HIV testing uptake correlated with lower risk of having HIV. However, rural adolescent girls had a low probability of being tested (48.7%) despite a relatively high HIV prevalence. Urban districts and the Southern region had a higher percentage of high\u2010prevalence and less tested groups of individuals than other areas.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>LCA is an efficient method to find groups of people sharing common HIV risk profiles, identify particularly vulnerable sub\u2010populations, and plan targeted interventions focusing on these groups. Tailored support, prevention and HIV testing programmes should focus particularly on female household heads, adolescent girls living in rural areas, older married men and young men who have never been married.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/jia2.25615","type":"journal-article","created":{"date-parts":[[2020,9,28]],"date-time":"2020-09-28T11:24:05Z","timestamp":1601292245000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Identifying groups of people with similar sociobehavioural characteristics in Malawi to inform HIV interventions: a latent class analysis"],"prefix":"10.1002","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6418-2945","authenticated-orcid":false,"given":"Aziza","family":"Merzouki","sequence":"first","affiliation":[{"name":"Institute of Global Health University of Geneva Geneva Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amanda","family":"Styles","sequence":"additional","affiliation":[{"name":"University of Dundee Dundee United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9544-1447","authenticated-orcid":false,"given":"Janne","family":"Estill","sequence":"additional","affiliation":[{"name":"Institute of Global Health University of Geneva Geneva Switzerland"},{"name":"Institute of Mathematical Statistics and Actuarial Science University of Bern Bern Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Erol","family":"Orel","sequence":"additional","affiliation":[{"name":"Institute of Global Health University of Geneva Geneva Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zofia","family":"Baranczuk","sequence":"additional","affiliation":[{"name":"Institute of Global Health University of Geneva Geneva Switzerland"},{"name":"Department of Psychology University of Zurich Zurich Switzerland"},{"name":"Institute of Mathematics University of Zurich Zurich Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Karen","family":"Petrie","sequence":"additional","affiliation":[{"name":"University of Dundee Dundee United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Olivia","family":"Keiser","sequence":"additional","affiliation":[{"name":"Institute of Global Health University of Geneva Geneva Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2020,9,28]]},"reference":[{"key":"e_1_2_9_2_1","unstructured":"UNAIDS.Where we work | Countries | Malawi. 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