Pseudo-likelihood based logistic regression for estimating COVID-19 infection and case fatality rates by gender, race, and age in California

In emerging epidemics, early estimates of key epidemiological characteristics of the disease are critical for guiding public policy. In particular, identifying high-risk population subgroups aids policymakers and health officials in combating the epidemic. This has been challenging during the corona...

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Detalles Bibliográficos
Autores principales: Xiong, Di, Zhang, Lu, Watson, Gregory L., Sundin, Phillip, Bufford, Teresa, Zoller, Joseph A., Shamshoian, John, Suchard, Marc A., Ramirez, Christina M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier B.V. 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7837024/
https://www.ncbi.nlm.nih.gov/pubmed/33221671
http://dx.doi.org/10.1016/j.epidem.2020.100418

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7837024/
https://www.ncbi.nlm.nih.gov/pubmed/33221671
http://dx.doi.org/10.1016/j.epidem.2020.100418

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