{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T11:22:49Z","timestamp":1764588169172},"reference-count":47,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2021,2,15]],"date-time":"2021-02-15T00:00:00Z","timestamp":1613347200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Tropical Med Int Health"],"published-print":{"date-parts":[[2021,5]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Objective<\/jats:title><jats:p>To assess the spatial pattern and determinants of HIV infection in India.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We conducted a secondary data analysis using the National Family Health Survey\u20104 data obtained from the Demographic Health Survey programme. We accounted for clustering and stratification in the sampling design using the <jats:italic>svyset<\/jats:italic> command. Spatial analysis was performed by generating the Moran\u2019s I statistic and local indicators for spatial association (LISA) maps. Logistic regression was performed to identify the determinants of HIV infection.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>230\u00a0213 individuals were included. Prevalence of HIV infection in India was 0.24% (95% CI: 0.21%\u20130.28%). Being separated\/widowed\/divorced (aOR\u00a0=\u00a02.58, 95% CI: 1.22\u20135.40), living in an urban area (aOR\u00a0=\u00a02.46, 95% CI: 1.79\u20133.37), being resident in the North\u2010Eastern (aOR\u00a0=\u00a04.25, 95% CI: 2.60\u20136.93), Southern (aOR\u00a0=\u00a03.13, 95% CI: 1.99\u20134.91) or Western region (aOR\u00a0=\u00a02.17, 95% CI: 1.08\u20134.33), having a history of multiple sexual partners (aOR\u00a0=\u00a01.99, 95% CI:1.42\u20132.79), a suspected STI (aOR\u00a0=\u00a02.32, 95% CI: 1.38\u20133.90) or self\u2010reported TB (aOR\u00a0=\u00a07.80, 95% CI: 2.52\u201324.05) were significantly in association with HIV infection. Moran\u2019s I was 0.377, suggesting positive spatial autocorrelation. The LISA cluster map indicated 60 hotspot districts in India, mostly in southern states such as Karnataka, Andhra Pradesh and Telangana followed by north\u2010eastern states such as Nagaland, Manipur, Mizoram, Tripura and Assam.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>HIV infection among adults aged 15\u201354\u00a0years in India is spatially clustered with the majority occurring in southern and north\u2010eastern states. Hence, region\u2010 or district\u2010specific strategies with focused interventions should be adopted.<\/jats:p><\/jats:sec>","DOI":"10.1111\/tmi.13551","type":"journal-article","created":{"date-parts":[[2021,1,16]],"date-time":"2021-01-16T00:18:04Z","timestamp":1610756284000},"page":"546-556","update-policy":"http:\/\/dx.doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Spatial pattern and determinants of HIV infection among adults aged 15 to 54 years in India \u2013 Evidence from National Family Health Survey\u20104 (2015\u201016)"],"prefix":"10.1111","volume":"26","author":[{"given":"Yuvaraj","family":"Krishnamoorthy","sequence":"first","affiliation":[{"name":"Department of Preventive and Social Medicine Jawaharlal Institute of Postgraduate Medical Education and Research Puducherry India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marie Gilbert","family":"Majella","sequence":"additional","affiliation":[{"name":"Department of Preventive and Social Medicine Jawaharlal Institute of Postgraduate Medical Education and Research Puducherry India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sathish","family":"Rajaa","sequence":"additional","affiliation":[{"name":"Department of Preventive and Social Medicine Jawaharlal Institute of Postgraduate Medical Education and Research Puducherry India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arivarasan","family":"Bharathi","sequence":"additional","affiliation":[{"name":"Department of Preventive and Social Medicine Jawaharlal Institute of Postgraduate Medical Education and Research Puducherry India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ganesh Kumar","family":"Saya","sequence":"additional","affiliation":[{"name":"Department of Preventive and Social Medicine Jawaharlal Institute of Postgraduate Medical Education and Research Puducherry India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2021,2,15]]},"reference":[{"key":"e_1_2_6_2_1","unstructured":"World Health Organization.Global Health Observatory data. 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