Better data for decision-making through Bayesian imputation of suppressed provisional COVID-19 death counts

PURPOSE: To facilitate use of timely, granular, and publicly available data on COVID-19 mortality, we provide a method for imputing suppressed COVID-19 death counts in the National Center for Health Statistic’s 2020 provisional mortality data by quarter, county, and age. METHODS: We used a Bayesian...

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Detalles Bibliográficos
Autores principales: Kao, Szu-Yu Zoe, Tutwiler, M. Shane, Ekwueme, Donatus U., Truman, Benedict I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10399909/
https://www.ncbi.nlm.nih.gov/pubmed/37535647
http://dx.doi.org/10.1371/journal.pone.0288961

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10399909/
https://www.ncbi.nlm.nih.gov/pubmed/37535647
http://dx.doi.org/10.1371/journal.pone.0288961

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