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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2023
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| Materias: | |
| 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 |