TY - JOUR
T1 - A review and agenda for integrated disease models including social and behavioural factors
AU - Bedson, Jamie
AU - Skrip, Laura A.
AU - Pedi, Danielle
AU - Abramowitz, Sharon
AU - Carter, Simone
AU - Jalloh, Mohamed F.
AU - Funk, Sebastian
AU - Gobat, Nina
AU - Giles-Vernick, Tamara
AU - Chowell, Gerardo
AU - de Almeida, João Rangel
AU - Elessawi, Rania
AU - Scarpino, Samuel V.
AU - Hammond, Ross A.
AU - Briand, Sylvie
AU - Epstein, Joshua M.
AU - Hébert-Dufresne, Laurent
AU - Althouse, Benjamin M.
N1 - Funding Information:
We thank M. Izzo and D. Mistry for contributing to the figure. TG-V: SoNAR-Global project has received funding from the EU Horizon 2020 research and innovation program (grant agreement no. 825671). G.C. is partially supported by NSF grants (nos 2026797 and 2034003). N.G. reports funding from the EU Horizon 2020 research and innovation programme (grant agreement no. 101003589; RECOVER), Wellcome Trust and UK Foreign, Commonwealth and Development Office (FCDO) (grant agreement no. BZR02530) and UKRI/NIHR 2019-nCoV Rapid Response Call (grant no. NIHR200907). L.H.-D. acknowledges the National Institutes of Health 1P20 GM125498-01 Centers of Biomedical Research Excellence Award. J.B. acknowledges support as part of the ‘Data Modeling Community Engagement in Health Emergencies’ project funded by the Bill & Melinda Gates Foundation. S.F. was supported by the Wellcome Trust (no. 210758/Z/18/Z).
Publisher Copyright:
© 2021, Springer Nature Limited.
PY - 2021/7
Y1 - 2021/7
N2 - 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.
AB - 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.
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U2 - 10.1038/s41562-021-01136-2
DO - 10.1038/s41562-021-01136-2
M3 - Review article
C2 - 34183799
AN - SCOPUS:85109280234
SN - 2397-3374
VL - 5
SP - 834
EP - 846
JO - Nature Human Behaviour
JF - Nature Human Behaviour
IS - 7
ER -