An Adaptive Research Approach to COVID-19 Forecasting for Regional Health Systems in England
Lidia Betcheva, Feryal Erhun, Antoine Feylessoufi, Peter Fryers, Paulo Gonçalves, Houyuan Jiang, Paul Kattuman, Tom Pape, Anees Ahmed Abdul Pari, Stefan Scholtes, Carina Tyrrell
Abstract
A team of researchers worked with public health officials and clinical decision makers to create real-time models to help predict COVID-19 cases and hospital bed needs in the East of England. These models used up-to-date data and allowed officials to explore different scenarios and make informed plans. The models have also been applied in other countries and can be a valuable tool in future epidemics.
Topics & Concepts
Coronavirus disease 2019 (COVID-19)Public health2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Operations researchPublic relationsComputer scienceData sciencePolitical scienceMedicineEngineeringNursingInfectious disease (medical specialty)VirologyDiseaseOutbreakPathologyCOVID-19 epidemiological studiesdemographic modeling and climate adaptationHealth disparities and outcomes