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

Szu-Yu Zoe Kao M Shane TutwilerDonatus U EkwuemeBenedict I Truman

Published in: PloS one (2023)

Bayesian imputation of suppressed county-level, age-specific COVID-19 deaths in US provisional data can improve county ASDR estimates and aid public health officials in identifying disparities in deaths from COVID-19.

Keyphrases

coronavirus disease
sars cov
public health
decision making
electronic health record
big data
peripheral blood
machine learning
health insurance
affordable care act