Evaluation of Bayesian spatiotemporal infectious disease models for prospective surveillance analysis
Evaluation of Bayesian spatiotemporal infectious disease models for prospective surveillance analysis
Abstract Background COVID-19 brought enormous challenges to public health surveillance and underscored the importance of developing and maintaining robust systems for accurate surveillance. As public health data collection efforts expand, there is a critical need for infectious disease modeling researchers to continue to develop prospective surveillance metrics and statistical models …