ArticleInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2021
Temporal and spatial analysis of COVID-19 transmission in China and its influencing factors.
Article in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 4 of them syntheses that pooled it.
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Who cites it
37 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Spatio-Temporal COVID-19 Modeling: A Global Systematic Review of Data Integration, Equity, and Lessons for Pandemic Preparedness.International journal of environmental research and public health · 2026Pooled it
- Small-scale spatiotemporal epidemiology of notifiable infectious diseases in China: a systematic review.BMC infectious diseases · 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
- A Review of Influencing Factors on Spatial Spread of COVID-19 Based on Geographical Perspective.International journal of environmental research and public health · 2021Pooled it
- Artificial intelligence risk prediction model for common respiratory pathogens in China based on heterogeneous multi-source clinical and geographic data: A modeling study.PLOS digital health · 2026Article
- Confounding amplifies the effect of environmental factors on COVID-19.Infectious Disease Modelling · 2024Article
- Spatiotemporal Epidemiological Trends of Mpox in Mainland China: Spatiotemporal Ecological Comparison Study.JMIR public health and surveillance · 2024Article
- Predicting subnational incidence of COVID-19 cases and deaths in EU countries.BMC infectious diseases · 2024Article
- Article
- Spatiotemporal dynamics of confirmed case distribution during the COVID-19 pandemic in China: data comparison between 2020/04-2020/08 and 2021/04-2021/08.Scientific reports · 2023Article
- Flow and access: Driving forces of COVID-19 spreading in the first stage around Hubei, China.PloS one · 2023Article
- Sustainable planning in Wuhan City during COVID-19: an analysis of influential factors, risk profiles, and clustered patterns.Frontiers in public health · 2023Article
- Assessing the spatial heterogeneity of tuberculosis in a population with internal migration in China: a retrospective population-based study.Frontiers in public health · 2023Article
- Spatiotemporal analysis of the morbidity of global Omicron from November 2021 to February 2022.Journal of medical virology · 2022Article
- Spatio-temporal distribution pattern of COVID-19 in the Northern Italy during the first-wave scenario: The role of the highway network.Transportation research interdisciplinary perspectives · 2022Article
- A Study on a Neural Network Risk Simulation Model Construction for Avian Influenza A (H7N9) Outbreaks in Humans in China during 2013-2017.International journal of environmental research and public health · 2022Article
- Investigating Linkages Between Spatiotemporal Patterns of the COVID-19 Delta Variant and Public Health Interventions in Southeast Asia: Prospective Space-Time Scan Statistical Analysis Method.JMIR public health and surveillance · 2022Article
- Article
- Air pollution and COVID-19 mortality and hospitalization: An ecological study in Iran.Atmospheric pollution research · 2022Article
- Spatio-temporal evolution and trend prediction of the incidence of Class B notifiable infectious diseases in China: a sample of statistical data from 2007 to 2020.BMC public health · 2022Article
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7 authors.
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Abstract
objectivesThe purpose of this study was to explore the temporal and spatial characteristics of COVID-19 transmission and its influencing factors in China, from January to October 2020.
methodsAbout 81,000 COVID-19 confirmed case data, Baidu migration index data, air pollutants, meteorological data, and government response strictness index data were collected from 31 provincial-level regions (excluding Hong Kong, Macao, and Taiwan) and 337 prefecture-level cities. The spatio-temporal characteristics of COVID-19 were explored using spatial autocorrelation, hot spot, and spatio-temporal scanning statistics. At the same time, Spearman rank correlation analysis and multiple linear regression were used to explore the relationship between influencing factors and confirmed COVID-19 cases.
resultsThe distribution of COVID-19 in China tends to be stable over time, with spatial correlation and prominent clustering regions. Spatio-temporal scanning analysis showed that most COVID-19 high-incidence months were from January to March at the beginning of the epidemic, and the area with the highest aggregation risk was Hubei Province (RR=491.57) which was 491.57 times the aggregation risk of other regions. Among the meteorological variables, the daily average temperature, wind speed, precipitation, and new COVID-19 cases were negatively correlated. The air pollution concentration and migration index were positively correlated with new confirmed cases, and the government response strict index was strongly negatively correlated with confirmed COVID-19 cases.
conclusionsEnvironmental temperature has a certain inhibitory effect on the transmission of COVID-19; the air pollution concentration and migration index have a certain promoting effect on the transmission of COVID-19. The strict government response index indicates that the greater the intensity of government intervention, the fewer COVID-19 cases will occur.
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