Modelling: Understanding pandemics and how to control them

• DOI: 10.1016/j.epidem.2022.100588
• Publication Date: 2022-05-31T16:12:04Z
• Authors: Glenn Marion; Liza Hadley; Valerie Isham; Denis Mollison; Jasmina Panovska-...; Lorenzo Pellis; Gianpaolo Scalia ...; Francesca Scarabel; Ben Swallow; Pieter Trapman; Daniel Villela
• Keywords: MCC; QA75; 0303 health sciences; QA75 Electronic computers. Computer science; T-NDAS; 610; Infectious and parasitic diseases; RC109-216; Models, Theoretical; 3. Good health; Value of information studies; 03 medical and health sciences; SDG 3 - Good Health and Well-being; Pathogen dynamics; host dynamics; RA0421; RA0421 Public health. Hygiene. Preventive Medicine; Within, host dynamics; Pandemics; Within; Infectious disease models; Behaviour and multi-scale transmission dynamics

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.