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stat.ME2023
A Bayesian Spatio-Temporal Extension to Poisson Auto-Regression: Modeling the Disease Infection Rate of COVID-19 in England
Pierfrancesco Alaimo Di Loro, Dankmar Boehning, Sujit Sahu
The COVID-19 pandemic provided many modeling challenges to investigate the evolution of an epidemic process over areal units. A suitable encompassing model must describe the spatio…
stat.ME2022★ 1 cited
Bayesian hierarchical modelling approaches for combining information from multiple data sources to produce annual estimates of national immunization coverage
C. Edson Utazi, Warren C. Jochem, Marta Gacic-Dobo +4
Estimates of national immunization coverage are crucial for guiding policy and decision-making in national immunization programs and setting the global immunization agenda. WHO and…