ArticleInternational journal of environmental research and public health2020
Spatial Statistics and Influencing Factors of the COVID-19 Epidemic at Both Prefecture and County Levels in Hubei Province, China.
Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 2 of them syntheses that pooled it.
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Who cites it
45 citing papers in PubMed, 2 syntheses or guidelines pooled it, 96 citations in OpenAlex.
- Effects of the built environment and human factors on the spread of COVID-19: A systematic literature review.The Science of the total environment · 2022Pooled it
- Methods Used in the Spatial and Spatiotemporal Analysis of COVID-19 Epidemiology: A Systematic Review.International journal of environmental research and public health · 2022Pooled it
- Impact of Different COVID-19 Pandemic Phases on Emergency Department Length of Stay and Intensive Care Unit Admission Risk: Single-Center Retrospective Cohort Study.JMIR public health and surveillance · 2026Article
- Socioeconomic determinants of COVID-19 vaccination and mortality: a cross-national path analysis.BMC public health · 2026Article
- Spatial analysis of COVID-19 incidence and mortality rates in northwest iran for future epidemic preparedness.Scientific reports · 2025Article
- How to implement pairing assistance during fighting COVID-19 in China: collaborative governance between local governments under the authoritative regulation.Frontiers in public health · 2024Article
- Analyzing COVID-19 data in the Canadian province of Manitoba: A new approach.Spatial statistics · 2023Article
- Associations between institutional-social-ecological factors and COVID -19 case-fatality: Evidence from 134 countries using multiscale geographically weighted regression (MGWR).One health (Amsterdam, Netherlands) · 2023Article
- Seeing the forest and the trees: Holistic view of social distancing on the spread of COVID-19 in China.Applied geography (Sevenoaks, England) · 2023Article
- Public Health Measures and the Control of COVID-19 in China.Clinical reviews in allergy & immunology · 2023Review
- Spatiotemporal pattern of Covid-19 outbreak in Turkey.GeoJournal · 2023Article
- Spatial co-location patterns between early COVID-19 risk and urban facilities: a case study of Wuhan, China.Frontiers in public health · 2023Article
- Sustainable planning in Wuhan City during COVID-19: an analysis of influential factors, risk profiles, and clustered patterns.Frontiers in public health · 2023Article
- Flow and access: Driving forces of COVID-19 spreading in the first stage around Hubei, China.PloS one · 2023Article
- Review
- What have we learned about socioeconomic inequalities in the spread of COVID-19? A systematic review.Sustainable cities and society · 2022Article
- Spatiotemporal clusters and the socioeconomic determinants of COVID-19 in Toronto neighbourhoods, Canada.Spatial and spatio-temporal epidemiology · 2022Article
- Analysis of the Lockdown Effects on the Economy, Environment, and COVID-19 Spread: Lesson Learnt from a Global Pandemic in 2020.International journal of environmental research and public health · 2022Article
- Exploring spatiotemporal patterns of COVID-19 infection in Nagasaki Prefecture in Japan using prospective space-time scan statistics from April 2020 to April 2022.Archives of public health = Archives belges de sante publique · 2022Article
- Generating High-Granularity COVID-19 Territorial Early Alerts Using Emergency Medical Services and Machine Learning.International journal of environmental research and public health · 2022Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
The coronavirus disease 2019 (COVID-19) epidemic has had a crucial influence on people's lives and socio-economic development throughout China and across the globe since December 2019. An understanding of the spatiotemporal patterns and influencing factors of the COVID-19 epidemic on multiple scales could benefit the control of the outbreak. Therefore, we used spatial autocorrelation and Spearman's rank correlation methods to investigate these two topics, respectively. The COVID-19 epidemic data reported publicly and relevant open data in Hubei province were analyzed. The results showed that (1) at both prefecture and county levels, the global spatial autocorrelation was extremely significant for the cumulative confirmed COVID-19 cases (CCC) in Hubei province from 30 January to 18 February 2020. Further, (2) at both levels, the significant hotspot and cluster/outlier area was observed solely in Wuhan city and most of its districts/sub-cities from 30 January to 18 February 2020. (3) At the prefecture level in Hubei province, the number of CCC had a positive and extremely significant correlation (
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