ArticleInternational journal of environmental research and public health2021
Spatiotemporal Analysis of AIDS Incidence and Its Influencing Factors on the Chinese Mainland, 2005-2017.
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Epidemiological characteristics of HIV and AIDS in mainland China: a 16-Year national surveillance analysis (2005-2020).BMC infectious diseases · 2026Article
- Spatiotemporal heterogeneity and socioeconomic determinants of syphilis incidence in Xining, Northwest China: a geospatial analysis.BMC infectious diseases · 2026Article
- Study on the spatial-temporal evolution and influencing factors of AIDS incidence in China from 2006 to 2022.BMC infectious diseases · 2025Article
- Assessing three-decade HIV testing transformation: TOPSIS-radar evaluation of tiered health system performance in rural-urban Southwestern China.BMC public health · 2025Article
- Spatial change, time tendency and projection to HIV/AIDS incidence in an eastern province of China.Scientific reports · 2025Article
- Analysis of influencing factors of AIDS epidemic in Kunming based on PCA-GWR method.Frontiers in public health · 2025Article
- Bayesian inference of a spatially dependent semi-Markovian model with application to Madagascar Covid'19 data.PloS one · 2025Article
- Divergent trends of human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS), syphilis, and gonorrhea in China: a national age-period-cohort analysis, 2006-2020.Frontiers in public health · 2025Article
- Spatial Markov matrices for measuring the spatial dependencies of an epidemiological spread : case Covid'19 Madagascar.BMC public health · 2024Article
- Spatiotemporal Analysis of HIV/AIDS Incidence in China From 2009 to 2019 and Its Association With Socioeconomic Factors: Geospatial Study.JMIR public health and surveillance · 2024Article
- Effectiveness of human immunodeficiency virus prevention strategies by mapping the geographic dispersion pattern of human immunodeficiency virus prevalence in Nanning, China.BMC public health · 2024Article
- Diagnostic performance evaluation of urine HIV-1 antibody rapid test kits in a real-life routine care setting in China.BMJ open · 2024Article
- Spatiotemporal Pattern and Its Determinants for Newly Reported HIV/AIDS Among Older Adults in Eastern China From 2004 to 2021: Retrospective Analysis Study.JMIR public health and surveillance · 2024Article
- Spatiotemporally Comparative Analysis of HIV, Pulmonary Tuberculosis, HIV-Pulmonary Tuberculosis Coinfection in Jiangsu Province, China.Infection and drug resistance · 2023Article
- Demographic Factors Among HIV Confirmed Blood Donors from 2013 to 2021 in Shenzhen.International journal of general medicine · 2023Article
- Spatiotemporal Distribution of HIV Self-testing Kits Purchased on the Web and Implications for HIV Prevention in China: Population-Based Study.JMIR public health and surveillance · 2022Article
- Influence of the Demographic, Social, and Environmental Factors on the COVID-19 Pandemic-Analysis of the Local Variations Using Geographically Weighted Regression.International journal of environmental research and public health · 2022Article
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4 authors.
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Abstract
Acquired Immune Deficiency Syndrome (AIDS) has become one of the most severe public health issues and nowadays around 38 million people are living with the human immunodeficiency virus (HIV). Ensuring healthy lives and promoting well-being is one of 17 United Nations Sustainable Development Goals. Here, we used the Markov chain matrix and geospatial clustering to comprehensively quantify the trends of the AIDS epidemic at the provincial administrate level in the mainland of China from 2005 to 2017. The Geographically Weighted Regression (GWR) model was further adopted to explore four groups of potential influencing factors (i.e., economy, traffic and transportation, medical care, and education) of the AIDS incidence rate in 2017 and their spatially distributed patterns. Results showed that the AIDS prevalence in southeastern China had been dominant and become prevalent in the past decade. The AIDS intensity level had been increasing between 2008 and 2011 but been gradually decreasing afterward. The analysis of the Markov chain matrix indicated that the AIDS epidemic has been generally in control on the Chinese mainland. The economic development was closely related to the rate of AIDS incidence on the Chinese mainland. The GWR result further suggested that medical care and the education effects on AIDS incidence rate can vary with different regions, but significant conclusions cannot be directly demonstrated. Our findings contribute an analytical framework of understanding AIDS epidemic trends and spatial variability of potential underlying factors throughout a complex extent to customize scientific prevention.
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