@文章{信息:doi/10.2196/35272，作者=“罗、甘风、苏、凌云、冯、安平、林一凡、周、义国、袁、谭为、胡、玉青、宋、卢、勇、莱、英思、钱、李、军、韩、孟杰、邹华春”，标题=“中国网上艾滋病自检包的时空分布及其对艾滋病预防的影响:以人群为基础的研究"，期刊="JMIR公共卫生监测"，年="2022"，月="10"，日="4"，卷="8"，数="10"，页数="e35272"，关键词="艾滋病毒自检;时空模式;中国;背景:艾滋病毒自检(HIVST)为扩大艾滋病毒检测提供了广阔的前景。然而，关于艾滋病病毒行为的大规模数据却很少。每年通过电子商务平台销售数百万个艾滋病毒检测试剂盒。目的:分析中国地区购买hiv试剂盒人群(HIVSTKPP)的时空分布特征。方法:从中国领先的电子商务平台检索未识别的交易数据。通过计算年平均百分比变化，使用连接点回归模型来检查HIVSTKPP发病率的年度趋势。 Bayesian spatiotemporal analysis was performed to locate hot spots with HIVSTKPP rates. Spatial autocorrelation analysis and space-time cluster analysis were conducted to identify clusters of HIVSTKPP. High-high clusters of HIVSTKPP can be identified by spatial autocorrelation analysis, and high-high clusters indicate that a region and its surrounding region jointly had a higher-than-average HIVSTKPP rate. Spatial regression analysis was used to elucidate the association between the number of HIV testing facilities, urbanization ratio (the proportion of urban population in the total population), and gross domestic product per capita and the HIVSTKPP. Results: Between January 1, 2016, and December 31, 2019, a total of 2.18 million anonymous persons in China placed 4.15 million orders and purchased 4.51 million HIVST kits on the web. In each of these 4 years, the observed monthly size of the HIVSTKPP peaked in December, the month of World AIDS Day. HIVSTKPP rates per 100,000 population significantly increased from 20.62 in 2016 to 64.82 in 2019 (average annual percentage change=48.2{\%}; P<.001). Hot spots were mainly located in municipalities, provincial capitals, and large cities, whereas high-high clusters and high-demand clusters were predominantly detected in cities along the southeast coast. We found positive correlations between a region's number of HIV testing facilities, urbanization ratio, and gross domestic product per capita and the HIVSTKPP. Conclusions: Our study identified key areas with larger demand for HIVST kits for public health policy makers to reallocate resources and optimize the HIV care continuum. Further research combining spatiotemporal patterns of HIVST with HIV surveillance data is urgently needed to identify potential gaps in current HIV-monitoring practices. ", issn="2369-2960", doi="10.2196/35272", url="https://publichealth.www.mybigtv.com/2022/10/e35272", url="https://doi.org/10.2196/35272", url="http://www.ncbi.nlm.nih.gov/pubmed/36194453" }