A review and agenda for integrated disease models including social and behavioural factors

Jamie Bedson, Laura A. Skrip, Danielle Pedi, Sharon Abramowitz, Simone Carter, Mohamed F. Jalloh, Sebastian Funk, Nina Gobat, Tamara Giles-Vernick, Gerardo Chowell, João Rangel Almeida, Rania Elessawi, Samuel V. Scarpino, Ross A. Hammond, Sylvie Briand, Joshua M. Epstein, Laurent Hébert-Dufresne and Benjamin M. Althouse ()
Additional contact information
Jamie Bedson: Independent Consultant
Laura A. Skrip: Bill & Melinda Gates Foundation
Danielle Pedi: Bill & Melinda Gates Foundation
Sharon Abramowitz: Independent Consultant
Simone Carter: UNICEF
Mohamed F. Jalloh: Karolinska Institutet
Sebastian Funk: London School of Hygiene & Tropical Medicine
Nina Gobat: University of Oxford
Tamara Giles-Vernick: Institut Pasteur
Gerardo Chowell: Georgia State University
João Rangel Almeida: Wellcome Trust
Rania Elessawi: UNICEF C4D
Samuel V. Scarpino: Northeastern University
Ross A. Hammond: Santa Fe Institute
Sylvie Briand: World Health Organization
Joshua M. Epstein: Santa Fe Institute
Laurent Hébert-Dufresne: University of Vermont
Benjamin M. Althouse: Bill & Melinda Gates Foundation

Nature Human Behaviour, 2021, vol. 5, issue 7, 834-846

Abstract: Abstract Social and behavioural factors are critical to the emergence, spread and containment of human disease, and are key determinants of the course, duration and outcomes of disease outbreaks. Recent epidemics of Ebola in West Africa and coronavirus disease 2019 (COVID-19) globally have reinforced the importance of developing infectious disease models that better integrate social and behavioural dynamics and theories. Meanwhile, the growth in capacity, coordination and prioritization of social science research and of risk communication and community engagement (RCCE) practice within the current pandemic response provides an opportunity for collaboration among epidemiological modellers, social scientists and RCCE practitioners towards a mutually beneficial research and practice agenda. Here, we provide a review of the current modelling methodologies and describe the challenges and opportunities for integrating them with social science research and RCCE practice. Finally, we set out an agenda for advancing transdisciplinary collaboration for integrated disease modelling and for more robust policy and practice for reducing disease transmission.

Date: 2021
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DOI: 10.1038/s41562-021-01136-2

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