{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T18:21:41Z","timestamp":1780078901732,"version":"3.54.0"},"reference-count":36,"publisher":"CSIRO Publishing","issue":"2","license":[{"start":{"date-parts":[[2025,5,5]],"date-time":"2025-05-05T00:00:00Z","timestamp":1746403200000},"content-version":"vor","delay-in-days":798,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["12071366"],"award-info":[{"award-number":["12071366"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,4,18]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Age-based sexual mixing patterns in men who have sex with men (MSM) can greatly inform strategic allocation of intervention resources to subsets of the population for the purpose of preventing the greatest number of new HIV infections.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Egocentric network data collected from MSM participating in annual HIV sentinel surveillance surveys were used to assess age-dependent mixing and to explore its epidemiological implications on the risk of HIV transmission risk (among those HIV-infected) and HIV acquisition risk (among those not infected).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Mixing in this sample of 1605 Chinese MSM is relatively age assortative (the average of values expressing the degree of preferential mixing were 2.01 in diagonal cells vs 0.87 in off-diagonal cells). Expected numbers of HIV acquisition were highest in the 20\u201324\u00a0years age group; those for HIV transmissions were highest among 25\u201329\u00a0year olds. The risk of both acquisition and transmission was highest in age groups that immediately follow the most commonly reported ages of sexual debut in this population (i.e. age 20).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>These findings suggest that combination prevention resources should be targeted at younger MSM who are at higher risk of both transmission and acquisition. Programs may also do well to target even younger age groups who have not yet debuted in order to establish prevention effects before risky sexual behaviours begin. More research on optimal strategies to access these harder-to-reach subsets of the MSM population is needed. Findings also support ongoing efforts for public health practitioners to collect network data in key populations to support more empirically driven strategies to target prevention resources.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1071\/sh22163","type":"journal-article","created":{"date-parts":[[2023,2,26]],"date-time":"2023-02-26T20:39:06Z","timestamp":1677443946000},"page":"126-133","source":"Crossref","is-referenced-by-count":2,"title":["Sexual mixing patterns in men who have sex with men: network approaches for smart resource allocation"],"prefix":"10.1071","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5861-8100","authenticated-orcid":true,"given":"M. Kumi","family":"Smith","sequence":"first","affiliation":[{"name":"ADivision of Epidemiology & Community Health, School of Public Health, University of Minnesota Twin Cities, Minneapolis, MN, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matthew","family":"Graham","sequence":"additional","affiliation":[{"name":"BLi Ka Shing Centre for Health Information and Discovery, Oxford, UK."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Katherine","family":"Harripersaud","sequence":"additional","affiliation":[{"name":"ADivision of Epidemiology & Community Health, School of Public Health, University of Minnesota Twin Cities, Minneapolis, MN, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiuying","family":"Zhu","sequence":"additional","affiliation":[{"name":"CGuangxi Center for Disease Control and Prevention, Nanning, 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