Assessing COVID-19 risk with temporal indices and geographically weighted ordinal logistic regression in US counties

PURPOSE: Research on the novel coronavirus diseases 2019 (COVID-19) mainly relies on cross-sectional data, but this approach fails to consider the temporal dimension of the pandemic. This study assesses three temporal dimensions of the COVID-19 infection risk in US counties, namely probability of oc...

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Detalles Bibliográficos
Autores principales: Chen, Vivian Yi-Ju, Park, Kiwoong, Sun, Feinuo, Yang, Tse-Chuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8985941/
https://www.ncbi.nlm.nih.gov/pubmed/35385491
http://dx.doi.org/10.1371/journal.pone.0265673

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8985941/
https://www.ncbi.nlm.nih.gov/pubmed/35385491
http://dx.doi.org/10.1371/journal.pone.0265673

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