Regional infectious risk prediction of COVID-19 based on geo-spatial data.
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ABSTRACT:
SUBMITTER: Cheng X
PROVIDER: S-EPMC7668208 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature
Publications
Regional infectious risk prediction of COVID-19 based on geo-spatial data.
Cheng Xuewei X Han Zhaozhou Z Abba Badamasi B Wang Hong H
PeerJ 20201113
After the first confirmed case of the novel coronavirus disease (COVID-19) was found, it is of considerable significance to divide the risk levels of various provinces or provincial municipalities in Mainland China and predict the spatial distribution characteristics of infectious diseases. In this paper, we predict the epidemic risk of each province based on geographical proximity information, spatial inverse distance information, economic distance and Baidu migration index. A simulation study ...[more]
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