dc.creator | Kang, Dayun | |
dc.creator | Choi, Hyunho | |
dc.creator | Kim, Jong-Hun | |
dc.creator | Choi, Jungsoon | |
dc.date.accessioned | 2020-07-27T20:40:02Z | |
dc.date.accessioned | 2022-09-23T18:30:38Z | |
dc.date.available | 2020-07-27T20:40:02Z | |
dc.date.available | 2022-09-23T18:30:38Z | |
dc.date.created | 2020-07-27T20:40:02Z | |
dc.identifier | 1201-9712 | |
dc.identifier | https://doi.org/10.1016/j.ijid.2020.03.076 | |
dc.identifier | http://hdl.handle.net/20.500.12010/11229 | |
dc.identifier | https://doi.org/10.1016/j.ijid.2020.03.076 | |
dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/3502202 | |
dc.description.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. | |
dc.publisher | International Journal of Infectious Diseases | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.source | reponame:Expeditio Repositorio Institucional UJTL | |
dc.source | instname:Universidad de Bogotá Jorge Tadeo Lozano | |
dc.subject | COVID-19 | |
dc.subject | Spatial autocorrelation | |
dc.subject | Spatial analysis | |
dc.subject | China | |
dc.title | Spatial epidemic dynamics of the COVID-19 outbreak in China | |