Spatiotemporal Analysis of Online Purchase of HIV Self-testing Kits in China, 2015-2017: Longitudinal Observational Study

• DOI: 10.2196/37922
• Publication Date: 2022-08-03T04:54:05Z
• Authors: Yi Lv; Qiyu Zhu; Chengdong Xu; Guanbin Zhang; Yan Jiang; Mengjie Han; Cong Jin
• Keywords: China; Epidemiology; Population; HIV Infections; FOS: Health sciences; FOS: Economics and business; Spatio-Temporal Analysis; Virology; Health Sciences; Humans; Business; Global Epidemiology of HIV and Drug Use; Immunology and Microbiology; Marketing; Original Paper; Prevention and Treatment of HIV/AIDS Infection; Geography; Per capita; 1. No poverty; Life Sciences; HIV; Bayes Theorem; Purchasing; 3. Good health; Self-Testing; Infectious Diseases; Environmental health; Archaeology; Beijing; 8. Economic growth; Medicine; Human Immunodeficiency Virus/Acquired Immunodeficiency Syndrome; Public aspects of medicine; RA1-1270

Background Since the introduction of HIV self-testing by UNAIDS in 2014, practice has been extensively implemented around world. (HIVST) was developed China 2015, and online purchase HIVST kits through e-commerce platforms since become most important delivery method for self-testing, with advantages such as user-friendliness, speed, better privacy protection. Objective Understanding spatiotemporal characteristics kit purchasing behavior identifying potential impacting factors will help promote strategy. Methods The retail data from 2 largest 2015 to 2017 were collected this study. Bayesian hierarchical model used investigate purchased kits. Ordinary least squares regression identify associated purchase, including GDP per capita, population density, road screening laboratory newly diagnosed HIV/AIDS cases 100,000 persons. q statistics calculated Geodetector determine interactive effect every on purchase. Results increased rapidly 2017, annual peak sales May December. Five economically superior regions China, Pearl River Delta, Yangtze Chengdu surrounding areas, Beijing Tianjin Shandong Peninsula, showed a comparatively higher spatial preference capita (P<.001) rate persons identified positively Among we investigated study, persons, also displayed strongest effect, value 0.66. Conclusions Individuals better-off areas are more inclined online. In addition economic status, severity epidemic is factor influencing