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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Detalhes bibliográficos

Principais autores:	Di Xiong, Lu Zhang, Gregory L. Watson, Phillip Sundin, Teresa Bufford, Joseph A. Zoller, John Shamshoian, Marc A. Suchard, Christina M. Ramirez
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2020-12-01
coleção:	Epidemics
Assuntos:	COVID-19 Infection rate Case fatality rate California Health Interview Survey Logistic regression
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S1755436520300396
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