Evidence map›Paper›PMID 41291620›Full record

ArticleBMC public health2025

Spatiotemporal heterogeneity of online HIV self-testing sales and its potential driving factors in China, 2015-2020: a retrospective nationwide study.

Yi Lv, Qiyu Zhu, Chengdong Xu, Yan Jiang, Yidan Wang, Zhijun He, Guanbin Zhang, Mengjie Han, Cong Jin

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Yi Lv *National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing, China.
Qiyu Zhu *National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Chengdong Xu *State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Yan JiangChinese Association of STD and AIDS Prevention and Control, Beijing, China.
Yidan WangNational Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Zhijun HeNational Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Guanbin ZhangSchool of Intelligent Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China. zhangguanbin@cdutcm.edu.cn.
Mengjie HanNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing, China. mjhan@chinaaids.cn.
Cong JinNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing, China. jinc@chinaaids.cn.

Funding

China National Science and Technology Major Projects in Infectious Disease from the Ministry of Science and Technology 2018ZX10732101-001-010Science and Technology Program of Beijing, China D171100006717001
6 · The paper itself

Abstract

backgroundSince the UNAIDS introduced HIV self-testing in 2014, its application has been widely adopted globally. Developed in China approximately 2015, HIV self-testing (HIVST), which involves the online purchase of testing kits via e-commerce platforms, has emerged as the most significant distribution method. This approach offers numerous benefits, including user-friendliness, speed, and enhanced privacy protection.

objectiveTo understand the spatiotemporal heterogeneity of online HIVST purchasing behavior and its potential driving factors in China.

methodsThe online retail sales data of HIVST kits from the two largest e-commerce platforms in China from 2015 to 2020 were collected for this study. The Bayesian spatiotemporal hierarchical model (BSTHM) was used to investigate the spatiotemporal characteristics and identify the rapidly growing high-demand regions of online HIVST kit sales. Furthermore, the BSTHM was used to identify potential driving factors associated with online sales, including college students per 10,000 persons, GDP per capita, net per person, phone per person, population density, road density and HIV screening cases per 10,000 persons.

resultsFrom 2015 to 2020, the sales of online HIVST kits experienced a dramatic surge, increasing from 837,061 kits to reaching 7,827,411 kits annually, with a total of 23,987,155 kits sold, with annual peak sales in December. Four economically superior regions in China, the Pearl River Delta, Yangtze River Delta, Beijing-Tianjin areas, and Shandong Peninsula, presented relatively high spatial preferences for online purchased HIVST kits. Thirty-eight rapidly growing high-demand regions were identified, which were located mainly in northeastern China (28.9%, 11/38), the Pearl River Delta (28.9%, 11/38) and the Beijing-Tianjin areas (15.8%, 6/38). The number of college students per 10,000 persons, GDP per capita, net per person, population density and number of HIV screening cases per 10,000 persons were identified as the driving factors that were positively associated with the online purchase rate of HIVST kits.

conclusionsOur study illuminates the spatiotemporal dynamics and driving factors behind online HIVST kit sales across mainland China, offering pivotal insights for crafting detailed HIVST guidelines. We pinpointed regions with significant sales demand, guiding policymakers in resource reallocation and HIV care continuum optimization, particularly in identified critical ' rapidly growing high-demand’ regions.

Indexed as

CommerceHIV InfectionsHIV TestingInternetSelf-TestingChinaHumansRetrospective StudiesSpatio-Temporal AnalysisChinaHIV self-testingOnline purchaseRapidly growing high-demand regionsSpatiotemporal heterogeneity

Identifiers

PMID41291620
PMCPMC12763864

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.