Spatial Prediction of COVID-19 in China Based on Machine Learning Algorithms and Geographically Weighted Regression

COVID-19 has swept through the world since December 2019 and caused a large number of patients and deaths. Spatial prediction on the spread of the epidemic is greatly important for disease control and management. In this study, we predicted the cumulative confirmed cases (CCCs) from Jan 17 to Mar 1,...

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Detalles Bibliográficos
Autores principales: Shao, Qi, Xu, Yongming, Wu, Hanyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8528585/
https://www.ncbi.nlm.nih.gov/pubmed/34691241
http://dx.doi.org/10.1155/2021/7196492

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8528585/
https://www.ncbi.nlm.nih.gov/pubmed/34691241
http://dx.doi.org/10.1155/2021/7196492

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