• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

博茨瓦纳的 HIV 感染与相关风险因素的空间分析。

Spatial Analysis of HIV Infection and Associated Risk Factors in Botswana.

机构信息

Department of Global Health, Research School of Population Health, Australian National University, Canberra, ACT 2601, Australia.

出版信息

Int J Environ Res Public Health. 2021 Mar 25;18(7):3424. doi: 10.3390/ijerph18073424.

DOI:10.3390/ijerph18073424
PMID:33806151
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8037802/
Abstract

Botswana has the third highest human immunodeficiency virus (HIV) prevalence globally, and the severity of the epidemic within the country varies considerably between the districts. This study aimed to identify clusters of HIV and associated factors among adults in Botswana. Data from the Botswana Acquired Immunodeficiency Syndrome (AIDS) Impact Survey IV (BIAS IV), a nationally representative household-based survey, were used for this study. Multivariable logistic regression and Kulldorf's scan statistics were used to identify the risk factors and HIV clusters. Socio-demographic characteristics were compared within and outside the clusters. HIV prevalence among the study participants was 25.1% (95% CI 23.3-26.4). HIV infection was significantly higher among the female gender, those older than 24 years and those reporting the use of condoms, while tertiary education had a protective effect. Two significant HIV clusters were identified, one located between Selibe-Phikwe and Francistown and another in the Central Mahalapye district. Clusters had higher levels of unemployment, less people with tertiary education and more people residing in rural areas compared to regions outside the clusters. Our study identified high-risk populations and regions with a high burden of HIV infection in Botswana. This calls for focused innovative and cost-effective HIV interventions on these vulnerable populations and regions to curb the HIV epidemic in Botswana.

摘要

博茨瓦纳的人类免疫缺陷病毒(HIV)感染率居全球第三,且该国各地区的疫情严重程度存在显著差异。本研究旨在确定博茨瓦纳成年人中 HIV 感染的聚集区及其相关因素。本研究使用了博茨瓦纳获得性免疫缺陷综合征(AIDS)影响调查 IV(BIAS IV)的数据,该调查是一项具有全国代表性的家庭为基础的调查。多变量逻辑回归和 Kulldorf 的扫描统计用于识别危险因素和 HIV 聚集区。对聚集区内外的社会人口特征进行了比较。研究参与者的 HIV 感染率为 25.1%(95%置信区间 23.3-26.4)。女性、年龄大于 24 岁和报告使用避孕套的人群中 HIV 感染率显著较高,而接受高等教育则具有保护作用。确定了两个具有显著意义的 HIV 聚集区,一个位于塞莱比-皮奎和弗朗西斯敦之间,另一个位于中央马哈莱普耶地区。与聚集区以外的地区相比,聚集区的失业率更高,接受高等教育的人数更少,居住在农村地区的人数更多。我们的研究确定了博茨瓦纳高危人群和 HIV 感染负担较高的地区。这需要针对这些脆弱人群和地区采取有针对性的创新和具有成本效益的 HIV 干预措施,以遏制博茨瓦纳的 HIV 疫情。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032a/8037802/211d1262144d/ijerph-18-03424-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032a/8037802/df518e9fa9c6/ijerph-18-03424-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032a/8037802/211d1262144d/ijerph-18-03424-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032a/8037802/df518e9fa9c6/ijerph-18-03424-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032a/8037802/211d1262144d/ijerph-18-03424-g002.jpg

相似文献

1
Spatial Analysis of HIV Infection and Associated Risk Factors in Botswana.博茨瓦纳的 HIV 感染与相关风险因素的空间分析。
Int J Environ Res Public Health. 2021 Mar 25;18(7):3424. doi: 10.3390/ijerph18073424.
2
The geography of HIV/AIDS prevalence rates in Botswana.博茨瓦纳艾滋病毒/艾滋病流行率的地理分布情况。
HIV AIDS (Auckl). 2012;4:95-102. doi: 10.2147/HIV.S30537. Epub 2012 Jul 18.
3
Progress towards the UNAIDS 95-95-95 targets in the Fifth Botswana AIDS Impact Survey (BAIS V 2021): a nationally representative survey.迈向联合国艾滋病规划署 95-95-95 目标的进展:博茨瓦纳第五次艾滋病影响调查(BAIS V 2021):一项全国代表性调查。
Lancet HIV. 2024 Apr;11(4):e245-e254. doi: 10.1016/S2352-3018(24)00003-1. Epub 2024 Mar 8.
4
HIV prevalence and related behaviours of older people in Botswana - secondary analysis of the Botswana AIDS Impact Survey (BAIS) IV.博茨瓦纳老年人的艾滋病毒流行情况及相关行为——博茨瓦纳艾滋病影响调查(BAIS)IV的二次分析
Afr J AIDS Res. 2019 Mar;18(1):18-26. doi: 10.2989/16085906.2018.1552162. Epub 2019 Feb 19.
5
Spatial analysis of factors associated with HIV infection in Malawi: indicators for effective prevention. Malawi 艾滋病毒感染相关因素的空间分析:有效预防的指标。
BMC Public Health. 2020 Jul 25;20(1):1167. doi: 10.1186/s12889-020-09278-0.
6
Reasons for inconsistent condom use by young adults in Mahalapye, Botswana.博茨瓦纳马哈拉皮耶地区年轻人使用安全套情况不一致的原因。
Afr J Prim Health Care Fam Med. 2018 May 24;10(1):e1-e7. doi: 10.4102/phcfm.v10i1.1492.
7
Country focus: AIDS and HIV in Botswana.国家聚焦:博茨瓦纳的艾滋病与艾滋病毒
AIDS Anal Afr. 1993 Nov-Dec;3(6):5-6.
8
Misconceptions about HIV transmission among adolescents: levels, trends and correlates from the Botswana AIDS impact surveys, 2001-2013: A short report.2001 - 2013年博茨瓦纳艾滋病影响调查中青少年对艾滋病毒传播的误解:水平、趋势及相关因素:简短报告
AIDS Care. 2019 Jan;31(1):48-52. doi: 10.1080/09540121.2018.1488030. Epub 2018 Jun 18.
9
HIV/sexually transmitted infection prevalence and sexual behavior of men who have sex with men in 3 districts of Botswana: results from the 2012 biobehavioral survey.博茨瓦纳3个地区男男性行为者的艾滋病毒/性传播感染患病率及性行为:2012年生物行为调查结果
Sex Transm Dis. 2014 Aug;41(8):480-5. doi: 10.1097/OLQ.0000000000000160.
10
The role of migration networks in the development of Botswana's generalized HIV epidemic.移民网络在博茨瓦纳艾滋病广泛流行中的作用。
Elife. 2023 Sep 4;12:e85435. doi: 10.7554/eLife.85435.

引用本文的文献

1
Trends and spatial patterns of human immunodeficiency virus prevalence among men and women aged 15-49 in Sierra Leone: evidence from the 2008, 2013 and 2019 Demographic and Health Surveys.塞拉利昂15至49岁男女中人类免疫缺陷病毒流行趋势及空间模式:来自2008年、2013年和2019年人口与健康调查的证据。
BMJ Glob Health. 2025 Aug 5;10(8):e017208. doi: 10.1136/bmjgh-2024-017208.
2
Spatial analysis and associated risk factors of HIV prevalence in Botswana: insights from the 2021 Botswana AIDS Impact Survey (BAIS V).博茨瓦纳艾滋病毒流行率的空间分析及相关风险因素:来自2021年博茨瓦纳艾滋病影响调查(BAIS V)的见解
BMC Infect Dis. 2025 Jan 16;25(1):69. doi: 10.1186/s12879-025-10464-x.
3

本文引用的文献

1
Spatial analysis of factors associated with HIV infection in Malawi: indicators for effective prevention. Malawi 艾滋病毒感染相关因素的空间分析:有效预防的指标。
BMC Public Health. 2020 Jul 25;20(1):1167. doi: 10.1186/s12889-020-09278-0.
2
Mapping and characterising areas with high levels of HIV transmission in sub-Saharan Africa: A geospatial analysis of national survey data.撒哈拉以南非洲地区 HIV 高传播地区的绘制和特征描述:国家调查数据的地理空间分析。
PLoS Med. 2020 Mar 6;17(3):e1003042. doi: 10.1371/journal.pmed.1003042. eCollection 2020 Mar.
3
HIV prevalence in South Africa through gender and racial lenses: results from the 2012 population-based national household survey.
Effectiveness of human immunodeficiency virus prevention strategies by mapping the geographic dispersion pattern of human immunodeficiency virus prevalence in Nanning, China.
基于中国南宁市人类免疫缺陷病毒流行的地理分布模式,评估人类免疫缺陷病毒预防策略的效果。
BMC Public Health. 2024 Mar 16;24(1):831. doi: 10.1186/s12889-024-18345-9.
4
Prevention and Control Are Not a Regional Matter: A Spatial Correlation and Molecular Linkage Analysis Based on Newly Reported HIV/AIDS Patients in 2021 in Jiangsu, China.预防和控制不是一个区域性问题:基于中国江苏省 2021 年新报告的艾滋病毒/艾滋病患者的空间相关性和分子关联分析。
Viruses. 2023 Oct 6;15(10):2053. doi: 10.3390/v15102053.
5
Psychiatric disorders in adolescents living with HIV in Botswana.博茨瓦纳青少年艾滋病毒感染者的精神障碍。
AIDS Res Ther. 2023 Jan 4;20(1):2. doi: 10.1186/s12981-022-00490-z.
南非的艾滋病毒流行情况通过性别和种族视角来看:来自 2012 年基于人口的全国家庭调查的结果。
Int J Equity Health. 2019 Oct 30;18(1):167. doi: 10.1186/s12939-019-1055-6.
4
Mapping HIV prevalence in sub-Saharan Africa between 2000 and 2017.绘制 2000 年至 2017 年撒哈拉以南非洲的艾滋病毒流行情况。
Nature. 2019 Jun;570(7760):189-193. doi: 10.1038/s41586-019-1200-9. Epub 2019 May 15.
5
Association between HIV/AIDS knowledge and stigma towards people living with HIV/AIDS in Botswana.博茨瓦纳艾滋病毒/艾滋病知识与对艾滋病毒/艾滋病感染者的污名化之间的关联。
Afr J AIDS Res. 2019 Mar;18(1):58-64. doi: 10.2989/16085906.2018.1552879.
6
HIV prevalence and related behaviours of older people in Botswana - secondary analysis of the Botswana AIDS Impact Survey (BAIS) IV.博茨瓦纳老年人的艾滋病毒流行情况及相关行为——博茨瓦纳艾滋病影响调查(BAIS)IV的二次分析
Afr J AIDS Res. 2019 Mar;18(1):18-26. doi: 10.2989/16085906.2018.1552162. Epub 2019 Feb 19.
7
Economy, migrant labour and sex work: interplay of HIV epidemic drivers in Zimbabwe over three decades.经济、流动劳工与性工作:津巴布韦三十余年来 HIV 疫情驱动因素的相互作用。
AIDS. 2019 Jan 27;33(1):123-131. doi: 10.1097/QAD.0000000000002066.
8
Educational Attainment as a Predictor of HIV Testing Uptake Among Women of Child-Bearing Age: Analysis of 2014 Demographic and Health Survey in Zambia.教育程度作为育龄女性接受艾滋病毒检测的预测因素:赞比亚2014年人口与健康调查分析
Front Public Health. 2018 Aug 14;6:192. doi: 10.3389/fpubh.2018.00192. eCollection 2018.
9
HIV EPIDEMIC HETEROGENEITY IN ZIMBABWE: EVIDENCE FROM SUCCESSIVE DEMOGRAPHIC AND HEALTH SURVEYS.津巴布韦的艾滋病毒流行异质性:来自连续人口与健康调查的证据。
J Biosoc Sci. 2018 Nov;50(6):840-852. doi: 10.1017/S0021932017000657. Epub 2018 Jan 15.
10
Identifying 'corridors of HIV transmission' in a severely affected rural South African population: a case for a shift toward targeted prevention strategies.在受严重影响的南非农村人群中识别“HIV 传播途径”:转向有针对性的预防策略的案例。
Int J Epidemiol. 2018 Apr 1;47(2):537-549. doi: 10.1093/ije/dyx257.