Modelling: Understanding pandemics and how to control them
Glenn Marion, Liza Hadley, Valerie Isham, Denis Mollison, Jasmina Panovska‐Griffiths, Lorenzo Pellis, Gianpaolo Scalia Tomba, Francesca Scarabel, Ben Swallow, Pieter Trapman, Daniel Antunes Maciel Villela
Abstract
New disease challenges, societal demands and better or novel types of data, drive innovations in the structure, formulation and analysis of epidemic models. Innovations in modelling can lead to new insights into epidemic processes and better use of available data, yielding improved disease control and stimulating collection of better data and new data types. Here we identify key challenges for the structure, formulation, analysis and use of mathematical models of pathogen transmission relevant to current and future pandemics.
Topics & Concepts
PandemicRisk analysis (engineering)Data scienceCoronavirus disease 2019 (COVID-19)Key (lock)Computer scienceControl (management)Data collectionDiseaseManagement scienceInfectious disease (medical specialty)EngineeringMedicineComputer securityArtificial intelligenceMathematicsPathologyStatisticsCOVID-19 epidemiological studiesViral Infections and Outbreaks ResearchData-Driven Disease Surveillance