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Spatial epidemic dynamics of the COVID-19 outbreak in China

Dayun Kang, Hyunho Choi, Jong‐Hun Kim, Jungsoon Choi

2020International Journal of Infectious Diseases422 citationsDOIOpen Access PDF

Abstract

BACKGROUND: On 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. METHODS: This 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. RESULTS: The 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. CONCLUSIONS: Spatial 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.

Topics & Concepts

OutbreakMainland ChinaCoronavirus disease 2019 (COVID-19)ChinaGeographyPandemicDemographySpatial epidemiology2019-20 coronavirus outbreakSpatial analysisSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Spatial ecologyEnvironmental healthEpidemiologyMedicineVirologyBiologyInfectious disease (medical specialty)EcologyDiseaseRemote sensingSociologyInternal medicineArchaeologyPathologyCOVID-19 epidemiological studiesData-Driven Disease SurveillanceCOVID-19 Pandemic Impacts
Spatial epidemic dynamics of the COVID-19 outbreak in China | Litcius