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南非艾滋病毒检测的地理差异:来自2017年全国家庭艾滋病毒调查的证据。

Geographical variation in HIV testing in South Africa: Evidence from the 2017 national household HIV survey.

作者信息

Jooste Sean, Mabaso Musawenkosi, Taylor Myra, North Alicia, Shean Yolande, Simbayi Leickness C, Reddy Tarylee, Mwandingi Leonard, Schmidt Tenielle, Nevhungoni Portia, Manda Samuel, Zuma Khangelani

机构信息

Human Sciences Research Council, Cape Town, South Africa.

School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa.

出版信息

South Afr J HIV Med. 2021 Aug 31;22(1):1273. doi: 10.4102/sajhivmed.v22i1.1273. eCollection 2021.


DOI:10.4102/sajhivmed.v22i1.1273
PMID:34522430
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8424727/
Abstract

BACKGROUND: Identification of the geographical areas with low uptake of HIV testing could assist in spatial targeting of interventions to improve the uptake of HIV testing. OBJECTIVES: The objective of this research study was to map the uptake of HIV testing at the district level in South Africa. METHOD: The secondary analysis used data from the Human Sciences Research Council's 2017 National HIV Prevalence, Incidence, Behaviour and Communication Survey, where data were collected using a multistage stratified random cluster sampling approach. Descriptive spatial methods were used to assess disparities in the proportion of those ever tested for HIV at the district level in South Africa. RESULTS: The districts with the highest overall coverage of people ever having tested for HIV (> 85%) include West Rand in Gauteng, Lejweleputswa and Thabo Mofutsanyane in Free State, and Ngaka Modiri Molema in North-West. These provinces also had the least variation in HIV testing coverage between their districts. Districts in KwaZulu-Natal had the widest variation in coverage of HIV testing. The districts with the lowest uptake of HIV testing were uMkhanyakude (54.7%) and Ugu (61.4%) in KwaZulu-Natal and Vhembe (61.0%) in Limpopo. Most districts had a higher uptake of HIV testing amongst female than male participants. CONCLUSION: The uptake of HIV testing across various districts in South Africa seems to be unequal. Intervention programmes must improve the overall uptake of HIV testing, especially in uMkhanyakude and Ugu in KwaZulu-Natal and Vhembe in Limpopo. Interventions must also focus on enhancing uptake of HIV testing amongst male participants in most districts. Strategies that would improve the uptake of HIV testing include HIV self-testing and community HIV testing, specifically home-based testing.

摘要

背景:识别艾滋病病毒检测接受率较低的地理区域有助于在空间上精准定位干预措施,以提高艾滋病病毒检测的接受率。 目的:本研究的目的是绘制南非各区艾滋病病毒检测的接受情况。 方法:二次分析使用了人类科学研究委员会2017年全国艾滋病病毒流行率、发病率、行为和传播调查的数据,该数据采用多阶段分层随机整群抽样方法收集。使用描述性空间方法评估南非各区艾滋病病毒检测人群比例的差异。 结果:艾滋病病毒检测总体覆盖率最高(>85%)的地区包括豪登省的西兰德、自由州的莱杰韦勒普茨瓦和塔博·莫富坦亚内,以及西北省的恩加卡·莫迪里·莫莱马。这些省份各区之间艾滋病病毒检测覆盖率的差异也最小。夸祖鲁-纳塔尔省各区的艾滋病病毒检测覆盖率差异最大。艾滋病病毒检测接受率最低的地区是夸祖鲁-纳塔尔省的姆赫尼亚库德(54.7%)和乌古(61.4%)以及林波波省的韦姆贝(61.0%)。大多数地区女性参与者的艾滋病病毒检测接受率高于男性。 结论:南非各区的艾滋病病毒检测接受情况似乎不均衡。干预项目必须提高艾滋病病毒检测总体接受率,特别是在夸祖鲁-纳塔尔省的姆赫尼亚库德和乌古以及林波波省的韦姆贝。干预措施还必须侧重于提高大多数地区男性参与者的艾滋病病毒检测接受率。提高艾滋病病毒检测接受率的策略包括艾滋病病毒自我检测和社区艾滋病病毒检测,特别是居家检测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a238/8424727/6ce5c5f68198/HIVMED-22-1273-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a238/8424727/35a88568d4f3/HIVMED-22-1273-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a238/8424727/0bde892339e2/HIVMED-22-1273-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a238/8424727/6ce5c5f68198/HIVMED-22-1273-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a238/8424727/35a88568d4f3/HIVMED-22-1273-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a238/8424727/0bde892339e2/HIVMED-22-1273-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a238/8424727/6ce5c5f68198/HIVMED-22-1273-g003.jpg

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引用本文的文献

[1]
The Application of Machine Learning Algorithms to Predict HIV Testing Using Evidence from the 2002-2017 South African Adult Population-Based Surveys: An HIV Testing Predictive Model.

Trop Med Infect Dis. 2025-6-14

[2]
Self-reported HIV testing and treatment among migrants from northeast South Africa: A cross-sectional, population-based analysis.

South Afr J HIV Med. 2025-4-30

[3]
The Application of Machine Learning Algorithms to Predict HIV Testing in Repeated Adult Population-Based Surveys in South Africa: Protocol for a Multiwave Cross-Sectional Analysis.

JMIR Res Protoc. 2025-1-27

[4]
Spatial analysis and associated risk factors of HIV prevalence in Botswana: insights from the 2021 Botswana AIDS Impact Survey (BAIS V).

BMC Infect Dis. 2025-1-16

[5]
Spatial mapping and predictors of ever-tested for HIV in adolescent girls and young women in Ethiopia.

Front Public Health. 2024

[6]
Impact of youth lay health workers on HIV service delivery in South Africa: A pragmatic cluster randomized trial of the Youth Health Africa program.

PLoS One. 2023-11-30

[7]
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[8]
Exploring Determinants of HIV/AIDS Self-Testing Uptake in South Africa Using Generalised Linear Poisson and Geographically Weighted Poisson Regression.

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本文引用的文献

[1]
Factors associated with external HIV-related stigma and psychological distress among people living with HIV in South Africa.

SSM Popul Health. 2021-4-29

[2]
Modelling of HIV prevention and treatment progress in five South African metropolitan districts.

Sci Rep. 2021-3-11

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HIV Self-Testing Uptake and Intervention Strategies Among Men in Sub-Saharan Africa: A Systematic Review.

Front Public Health. 2021

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Increasing the Uptake of HIV Testing among Men in Tanzania: A Novel Intervention for Bar Patrons.

AIDS Behav. 2021-7

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Towards achieving the 90-90-90 HIV targets: results from the south African 2017 national HIV survey.

BMC Public Health. 2020-9-9

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Sci Rep. 2019-9-2

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N Engl J Med. 2019-7-18

[8]
Linkage to care of HIV positive clients in a community based HIV counselling and testing programme: A success story of non-governmental organisations in a South African district.

PLoS One. 2019-1-22

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Mapping the spatial variability of HIV infection in Sub-Saharan Africa: Effective information for localized HIV prevention and control.

Sci Rep. 2017-8-22

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Accuracy and determinants of perceived HIV risk among young women in South Africa.

BMC Public Health. 2017-7-21

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