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      Community-based HIV prevalence in KwaZulu-Natal, South Africa: results of a cross sectional household survey

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          Abstract

          Background:

          In high HIV burden settings, maximizing the coverage of prevention strategies is critical to achieving epidemic control. However, little is known about the reach and impact of these in some communities.

          Methods:

          We undertook a cross sectional community survey in the adjacent Greater Edendale and Vulindlela areas in the uMgungundlovu district, KwaZulu-Natal, South Africa. Using a multistage cluster sampling method, we randomly selected enumeration areas, households and individuals. One household member (15–49 years) selected at random was invited for survey participation. Following consent questionnaires were administered to obtain socio-demographic, psycho-social, behavioural information and exposure to HIV prevention and treatment programmes. Clinical samples were collected for laboratory measurements. Statistical analyses were performed accounting for multilevel sampling and weighted to represent the population. Multivariable logistic regression model assessed factors associated with HIV infection.

          Findings:

          Between June 11, 2014 to June 22, 2015, we enrolled 9812 individuals. The population-weighted HIV prevalence was 36·3% (95% confidence interval (CI) 34·8–37·8, 3969 of 9812); 44·1% (42·3–45·9, 2955 of 6265) in women and 28·0% (25·9–30·1, 1014 of 3547) in men (p<0·0001). HIV prevalence in women 15–24 years was 22·3% (20·2–24·4, 567 of 2955) compared to 7·6% (6·0–9·3, 124 of 1024) (p<0·0001) in men of the same age. Prevalence peaked at 66·4% (61·7–71·2, 517 of 760) in women 35–39 years and 59·6% (53·0–66·3, 183 of 320) in men 40–44 years. Consistent condom use in the last 12 months was 26·5% (24·1–28·8, 593 of 2356) in men and 22·7% (20·9–24·4, 994 of 4350) in women, (p=0·0033); 35·7% (33·4–37·9, 1695 of 5447) of women’s male partner and 31·9% (29·5–34·3, 1102 of 3547) of men were medically circumcised (MMC), (p<0·0001), whilst 45·6% (42·9–48·2, 1251 of 2955) of women and 36·7% (32·3–41·2, 341 of 1014) of men reported antiretroviral therapy (ART) use (p=0·0003). HIV viral suppression was achieved in 54·8% (52·0–57·5, 1574 of 2955) of women and 41·9% (37·1–46·7, 401 of 1014) of men (p<0·0001) and 87·2% (84·6–89·8, 1086 of 1251) of women and 83·9% (78·5–89·3, 284 of 341) (p=0·3670) men on ART. Age, incomplete secondary schooling, being single, having more than one lifetime sex partners (women), sexually transmitted infections and not being medically circumcised were associated with HIV positive status.

          Interpretation:

          The HIV burden in specific age groups, the suboptimal differential coverage, and uptake of HIV prevention strategies justifies a location-based approach to surveillance with finer disaggregation by age and sex. Intensified and customised approaches to seek, identify, and link individuals to HIV services are crucial to achieving epidemic control in this community.

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          Author and article information

          Journal
          101645355
          43213
          Lancet HIV
          Lancet HIV
          The lancet. HIV
          2405-4704
          2352-3018
          12 August 2020
          17 July 2018
          August 2018
          18 September 2020
          : 5
          : 8
          : e427-e437
          Affiliations
          [1. ]Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa
          [2. ]Epicentre AIDs Risk Management (Pty) Limited, Cape Town, South Africa
          [3. ]Centre for HIV and STIs, National Institute for Communicable Diseases, National Health Laboratory Service (NICD/NHLS), South Africa
          [4. ]Health Economics and HIV and AIDS Research Division (HEARD), University of KwaZulu-Natal, Durban, South Africa
          [5. ]Global Clinical and Virology Laboratory, Amanzimtoti, South Africa.
          [6. ]Centers for Disease Control and Prevention (CDC), Atlanta, USA
          [7. ]Centers for Disease Control and Prevention (CDC), Pretoria, South Africa
          [8. ]Current affiliation: BroadReach, Cape Town, South Africa
          [9. ]Current affiliation: Centers for Disease Control and Prevention (CDC), Sierra Leone
          [10. ]Department of Epidemiology, Columbia University, New York, NY, USA
          Author notes
          Corresponding author details: Ayesha BM Kharsany, PhD, CAPRISA, 2nd Floor, Doris Duke Medical Research Institute, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Private Bag 7, Congella 4013, Durban, South Africa, Tel: +27 31 2604558, Fax:+27 31 2604566, Ayesha.Kharsany@ 123456caprisa.org

          Author contributions

          ABMK is the principal investigator of the study and wrote the manuscript. ABMK, CC and DK were responsible for the field work and quality assurance; LL and AG for statistical analysis; ABMK, AG, AP, LL contributed to analysis and interpretation of the data. AP, NS, ZC and SM were responsible for laboratory measurements and quality assurance; DK, CC and ABMK were responsible for community and stakeholder engagement activities; SH, GG, KG and SB contributed to the household and individual level data collection tools; all authors critically reviewed and approved the final version of the manuscript.

          Article
          PMC7498647 PMC7498647 7498647 nihpa1619410
          10.1016/S2352-3018(18)30104-8
          7498647
          30021700
          3d3d1d28-cf89-4df3-ae96-2b288a961b9c
          History
          Categories
          Article

          Community HIV prevalence,antiretroviral therapy (ART),KwaZulu-Nata,Surveillance,HIV prevention strategies,CD4 cell counts,HIV viral load

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