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

Jamie Bedson^#¹, Laura A Skrip^#^{2

3}, Danielle Pedi⁴, Sharon Abramowitz⁵, Simone Carter^{6

7}, Mohamed F Jalloh⁸, Sebastian Funk⁹, Nina Gobat^{10

11}, Tamara Giles-Vernick^{12

13}, Gerardo Chowell¹⁴, João Rangel de Almeida¹⁵, Rania Elessawi¹⁶, Samuel V Scarpino^{17

18

19

20

21

22}, Ross A Hammond^{21

23

24}, Sylvie Briand²⁵, Joshua M Epstein^{21

26}, Laurent Hébert-Dufresne^{22

27}, Benjamin M Althouse^{28

29

30}

Affiliations

¹ Independent Consultant, Seattle, WA, USA.
² Institute for Disease Modeling, Global Health, Bill & Melinda Gates Foundation, Seattle, WA, USA.
³ University of Liberia, Monrovia, Liberia.
⁴ Bill & Melinda Gates Foundation, Seattle, WA, USA.
⁵ Independent Consultant, Isle la Motte, VT, USA.
⁶ Social Science Analytics Cell, UNICEF, Kinshasa, Democratic Republic of the Congo.
⁷ UNICEF Public Health Emergencies, UNICEF, Geneva, Switzerland.
⁸ Karolinska Institutet, Stockholm, Sweden.
⁹ Centre for Mathematical Modelling of Infectious Disease Dynamics, London School of Hygiene & Tropical Medicine, London, UK.
¹⁰ University of Oxford, Oxford, UK.
¹¹ Global Outbreak Alert and Response Network, Geneva, Switzerland.
¹² Institut Pasteur, Paris, France.
¹³ Sonar-Global Network, Paris, France.
¹⁴ Population Health Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA.
¹⁵ Wellcome Trust, London, UK.
¹⁶ UNICEF C4D, New York, NY, USA.
¹⁷ Network Science Institute, Northeastern University, Boston, MA, USA.
¹⁸ Department of Marine & Environmental Sciences, Northeastern University, Boston, MA, USA.
¹⁹ Department of Physics, Northeastern University, Boston, MA, USA.
²⁰ Department of Health Sciences, Northeastern University, Boston, MA, USA.
²¹ Santa Fe Institute, Santa Fe, NM, USA.
²² Vermont Complex Systems Center, University of Vermont, Burlington, VT, USA.
²³ Brown School, Washington University in St Louis, St Louis, MO, USA.
²⁴ Center on Social Dynamics & Policy, Brookings Institution, Washington, DC, USA.
²⁵ World Health Organization, Geneva, Switzerland.
²⁶ Department of Epidemiology and the Agent-Based Modeling Lab, New York University, New York, NY, USA.
²⁷ Department of Computer Science, University of Vermont, Burlington, VT, USA.
²⁸ Institute for Disease Modeling, Global Health, Bill & Melinda Gates Foundation, Seattle, WA, USA. balthouse@idmod.org.
²⁹ Information School, University of Washington, Seattle, WA, USA. balthouse@idmod.org.
³⁰ Department of Biology, New Mexico State University, Las Cruces, NM, USA. balthouse@idmod.org.

^# Contributed equally.

PMID: 34183799
DOI: 10.1038/s41562-021-01136-2

Review

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

Jamie Bedson et al. Nat Hum Behav. 2021 Jul.

. 2021 Jul;5(7):834-846.

doi: 10.1038/s41562-021-01136-2. Epub 2021 Jun 28.

Authors

Affiliations

¹ Independent Consultant, Seattle, WA, USA.
² Institute for Disease Modeling, Global Health, Bill & Melinda Gates Foundation, Seattle, WA, USA.
³ University of Liberia, Monrovia, Liberia.
⁴ Bill & Melinda Gates Foundation, Seattle, WA, USA.
⁵ Independent Consultant, Isle la Motte, VT, USA.
⁶ Social Science Analytics Cell, UNICEF, Kinshasa, Democratic Republic of the Congo.
⁷ UNICEF Public Health Emergencies, UNICEF, Geneva, Switzerland.
⁸ Karolinska Institutet, Stockholm, Sweden.
⁹ Centre for Mathematical Modelling of Infectious Disease Dynamics, London School of Hygiene & Tropical Medicine, London, UK.
¹⁰ University of Oxford, Oxford, UK.
¹¹ Global Outbreak Alert and Response Network, Geneva, Switzerland.
¹² Institut Pasteur, Paris, France.
¹³ Sonar-Global Network, Paris, France.
¹⁴ Population Health Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA.
¹⁵ Wellcome Trust, London, UK.
¹⁶ UNICEF C4D, New York, NY, USA.
¹⁷ Network Science Institute, Northeastern University, Boston, MA, USA.
¹⁸ Department of Marine & Environmental Sciences, Northeastern University, Boston, MA, USA.
¹⁹ Department of Physics, Northeastern University, Boston, MA, USA.
²⁰ Department of Health Sciences, Northeastern University, Boston, MA, USA.
²¹ Santa Fe Institute, Santa Fe, NM, USA.
²² Vermont Complex Systems Center, University of Vermont, Burlington, VT, USA.
²³ Brown School, Washington University in St Louis, St Louis, MO, USA.
²⁴ Center on Social Dynamics & Policy, Brookings Institution, Washington, DC, USA.
²⁵ World Health Organization, Geneva, Switzerland.
²⁶ Department of Epidemiology and the Agent-Based Modeling Lab, New York University, New York, NY, USA.
²⁷ Department of Computer Science, University of Vermont, Burlington, VT, USA.
²⁸ Institute for Disease Modeling, Global Health, Bill & Melinda Gates Foundation, Seattle, WA, USA. balthouse@idmod.org.
²⁹ Information School, University of Washington, Seattle, WA, USA. balthouse@idmod.org.
³⁰ Department of Biology, New Mexico State University, Las Cruces, NM, USA. balthouse@idmod.org.

^# Contributed equally.

PMID: 34183799
DOI: 10.1038/s41562-021-01136-2

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.

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References

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1. Kapiriri, L. & Ross, A. The politics of disease epidemics: a comparative analysis of the SARS, Zika, and Ebola outbreaks. Glob. Soc. Welf. 7, 33–45 (2020). - PubMed - DOI
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A review and agenda for integrated disease models including social and behavioural factors

Affiliations

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

Authors

Affiliations

Abstract

References

Publication types

MeSH terms

Grants and funding

LinkOut - more resources

Full Text Sources

Medical