ArticleInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2020
Spatial epidemic dynamics of the COVID-19 outbreak in China.
Article in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 147 papers, 3 of them syntheses that pooled it.
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Who cites it
147 citing papers in PubMed, 3 syntheses or guidelines pooled it, 420 citations in OpenAlex.
- 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
- Pooled it
- Applications of GIS and geospatial analyses in COVID-19 research: A systematic review.F1000Research · 2020Pooled it
- Assessing the usefulness of digital contact tracing using real-world contact data.Scientific reports · 2026Article
- Spatiotemporal dynamics and associated drivers of COVID-19 incidence in Nepal.Tropical medicine and health · 2025Article
- Geospatial modelling of COVID19 mortality in Oman using geographically weighted Poisson regression GWPR.Scientific reports · 2025Article
- Beyond absolute space: modeling disease dispersion and reactive actions from a multi-spatialization perspective.International journal of geographical information science : IJGIS · 2025Article
- Mortality Due to Covid-19 in Hospitalized Patients: A Prediction Model Based on Different Risk Factors.Risk management and healthcare policy · 2025Article
- A framework for modeling county-level COVID-19 transmission.Frontiers in public health · 2025Article
- The Geographical Conditioning of Regional Differentiation Characterising the COVID-19 Pandemic in European Countries.International journal of environmental research and public health · 2024Article
- Spatio-temporal analysis of COVID-19 lockdown effect to survive in the US counties using ANN.Scientific reports · 2024Article
- Exploring the Spatial and Temporal Patterns of Children and Adolescents with COVID-19 Infections in Slovakia during March 2020 to July 2022.Medicina (Kaunas, Lithuania) · 2024Article
- Spatiotemporal dynamics of epidemiology diseases: mobility based risk and short-term prediction modeling of COVID-19.Frontiers in public health · 2024Article
- Mapping the pandemic: a review of Geographical Information Systems-based spatial modeling of Covid-19.Journal of public health in Africa · 2023Article
- The dynamic resilience of urban labour networks.Royal Society open science · 2023Article
- Key epidemiological indicators and spatial autocorrelation patterns across five waves of COVID-19 in Catalonia.Scientific reports · 2023Article
- Spatiotemporal pattern of COVID-19 mortality and its relationship with socioeconomic and environmental factors in England.Spatial and spatio-temporal epidemiology · 2023Article
- Potential Epidemic Vulnerability and Socioepidemiological Profile of SARS-CoV2 in the Brazilian Northeast Region.Tropical medicine and infectious disease · 2023Article
- Using Location Intelligence to Evaluate the COVID-19 Vaccination Campaign in the United States: Spatiotemporal Big Data Analysis.JMIR public health and surveillance · 2023Article
- Flow and access: Driving forces of COVID-19 spreading in the first stage around Hubei, China.PloS one · 2023Article
87 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOn 31 December 2019 an outbreak of COVID-19 in Wuhan, China, was reported. The outbreak spread rapidly to other Chinese cities and multiple countries. This study described the spatio-temporal pattern and measured the spatial association of the early stages of the COVID-19 epidemic in mainland China from 16 January-06 February 2020.
methodsThis study explored the spatial epidemic dynamics of COVID-19 in mainland China. Moran's I spatial statistic with various definitions of neighbours was used to conduct a test to determine whether a spatial association of the COVID-19 infections existed.
resultsThe spatial spread of the COVID-19 pandemic in China was observed. The results showed that most of the models, except medical-care-based connection models, indicated a significant spatial association of COVID-19 infections from around 22 January 2020.
conclusionsSpatial analysis is of great help in understanding the spread of infectious diseases, and spatial association was the key to the spatial spread during the early stages of the COVID-19 pandemic in mainland China.
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