A hierarchical study for urban statistical indicators on the prevalence of COVID-19 in Chinese city clusters based on multiple linear regression (MLR) and polynomial best subset regression (PBSR) analysis

With evidence-based measures, COVID-19 can be effectively controlled by advanced data analysis and prediction. However, while valuable insights are available, there is a shortage of robust and rigorous research on what factors shape COVID-19 transmissions at the city cluster level. Therefore, to bri...

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Detalles Bibliográficos
Autores principales: Cheshmehzangi, Ali, Li, Yujian, Li, Haoran, Zhang, Shuyue, Huang, Xiangliang, Chen, Xu, Su, Zhaohui, Sedrez, Maycon, Dawodu, Ayotunde
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8817036/
https://www.ncbi.nlm.nih.gov/pubmed/35121784
http://dx.doi.org/10.1038/s41598-022-05859-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8817036/
https://www.ncbi.nlm.nih.gov/pubmed/35121784
http://dx.doi.org/10.1038/s41598-022-05859-8

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