A New Strategy to Quantitatively Identify Hot-Spot Areas in Growth of New HIV Infections for Targeted Interventions

doi:10.3389/fpubh.2021.680867

	A New Strategy to Quantitatively Identify Hot-Spot Areas in Growth of New HIV Infections for Targeted Interventions
	Zhu, Qiyu 1,2; JiKe, Chunnong 3; Xu, Chengdong 4; Liang, Shu 5; Yu, Gang 3; Wang, Ju 3; Xiao, Lin 3; Liu, Ping 1; Chen, Meibin 1; Guan, Peng 2
刊名	FRONTIERS IN PUBLIC HEALTH
	2021-07-12
卷号	9 页码:7
关键词	recent HIV infection geospatial analysis geographic distribution quantitative study HIV/AIDS
DOI	10.3389/fpubh.2021.680867
通讯作者	Guan, Peng(pguan@cmu.edu.cn) ; Liu, Zhongfu(liuzhongfu@chinaaids.cn) ; Jin, Cong(jinc@chinaaids.cn)
英文摘要	Background: Previous geographic studies of HIV infection have usually used prevalence data, which cannot indicate the hot-spot areas of current transmission. To develop quantitative analytic measures for accurately identifying hot-spot areas in growth of new HIV infection, we investigated the geographic distribution features of recent HIV infection and long-term HIV infection using data from a whole-population physical examination in four key counties in Liangshan prefecture, which are most severely affected by HIV in China. Methods: Through a whole-population physical examination during November 2017- June 2018 in the four key counties, a total of 5,555 HIV cases were diagnosed and 246 cases were classified as recently infected by laboratory HIV recency tests. The geospatial patterns of recent and long-term HIV infected cases were compared using ordinary least squares regression and Geodetector. Further, geospatial-heterogeneity was quantified and indicated using a residual map to visualize hot-spot areas where new infection is increasing. Results: The geographic location of HIV cases showed an uneven distribution along major roads and clustered at road intersections. The geographic mapping showed that several areas were clustered with more recently infected HIV cases than long-term infected cases. The quantitative analyses showed that the geospatial asymmetry between recent and long-term HIV infection was 0.30 and 0.31 in ordinary least squares regression and Geodetector analysis, respectively. The quantitative analyses found twenty-three townships showing an increase in the number of recent infections. Conclusions: Quantitative analysis of geospatial-heterogeneous areas by comparing between recent and long-term HIV infections allows accurate identification of hot-spot areas where new infections are expanding, which can be used as a potent methodological tool to guide targeted interventions and curb the spread of the epidemic.
资助项目	China National Science and Technology Major Projects in Infectious Disease from Ministry of Science and Technology[2018ZX10301102-003] ; China National Science and Technology Major Projects in Infectious Disease from Ministry of Science and Technology[2018ZX10734404-005] ; China National Science and Technology Major Projects in Infectious Disease from Ministry of Science and Technology[2017ZX10201101-002-003] ; Science and Technology Program of Beijing, China[D171100006717001] ; National Natural Science Foundation of China[71974199] ; National Center for AIDS/STD Controland Prevention
WOS研究方向	Public, Environmental & Occupational Health
语种	英语
出版者	FRONTIERS MEDIA SA
WOS记录号	WOS:000680737000001
资助机构	China National Science and Technology Major Projects in Infectious Disease from Ministry of Science and Technology ; Science and Technology Program of Beijing, China ; National Natural Science Foundation of China ; National Center for AIDS/STD Controland Prevention
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/164765]
专题	中国科学院地理科学与资源研究所
通讯作者	Guan, Peng; Liu, Zhongfu; Jin, Cong
作者单位	1.Chinese Ctr Dis Control & Prevent, Natl Ctr AIDS STD Control & Prevent, Beijing, Peoples R China 2.China Med Univ, Sch Publ Hlth, Dept Epidemiol, Shenyang, Peoples R China 3.Liangshan Prefecture Ctr Dis Control & Prevent, Xichang, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China 5.Sichuan Prov Ctr Dis Control & Prevent, Chengdu, Peoples R China
推荐引用方式 GB/T 7714	Zhu, Qiyu,JiKe, Chunnong,Xu, Chengdong,et al. A New Strategy to Quantitatively Identify Hot-Spot Areas in Growth of New HIV Infections for Targeted Interventions[J]. FRONTIERS IN PUBLIC HEALTH,2021,9:7.
APA	Zhu, Qiyu.,JiKe, Chunnong.,Xu, Chengdong.,Liang, Shu.,Yu, Gang.,...&Jin, Cong.(2021).A New Strategy to Quantitatively Identify Hot-Spot Areas in Growth of New HIV Infections for Targeted Interventions.FRONTIERS IN PUBLIC HEALTH,9,7.
MLA	Zhu, Qiyu,et al."A New Strategy to Quantitatively Identify Hot-Spot Areas in Growth of New HIV Infections for Targeted Interventions".FRONTIERS IN PUBLIC HEALTH 9(2021):7.