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

Author

Listed:
  • Jamie Bedson

    (Independent Consultant)

  • Laura A. Skrip

    (Bill & Melinda Gates Foundation
    University of Liberia)

  • Danielle Pedi

    (Bill & Melinda Gates Foundation)

  • Sharon Abramowitz

    (Independent Consultant)

  • Simone Carter

    (UNICEF
    UNICEF)

  • Mohamed F. Jalloh

    (Karolinska Institutet)

  • Sebastian Funk

    (London School of Hygiene & Tropical Medicine)

  • Nina Gobat

    (University of Oxford
    Global Outbreak Alert and Response Network)

  • Tamara Giles-Vernick

    (Institut Pasteur
    Sonar-Global Network)

  • Gerardo Chowell

    (Georgia State University)

  • João Rangel Almeida

    (Wellcome Trust)

  • Rania Elessawi

    (UNICEF C4D)

  • Samuel V. Scarpino

    (Northeastern University
    Northeastern University
    Northeastern University
    Northeastern University)

  • Ross A. Hammond

    (Santa Fe Institute
    Washington University in St Louis
    Brookings Institution)

  • Sylvie Briand

    (World Health Organization)

  • Joshua M. Epstein

    (Santa Fe Institute
    New York University)

  • Laurent Hébert-Dufresne

    (University of Vermont
    University of Vermont)

  • Benjamin M. Althouse

    (Bill & Melinda Gates Foundation
    University of Washington
    New Mexico State University)

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.

Suggested Citation

  • 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 & Ran, 2021. "A review and agenda for integrated disease models including social and behavioural factors," Nature Human Behaviour, Nature, vol. 5(7), pages 834-846, July.
    • Handle: RePEc:nat:nathum:v:5:y:2021:i:7:d:10.1038_s41562-021-01136-2
    DOI: 10.1038/s41562-021-01136-2
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    References listed on IDEAS

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    Cited by:

    1. Nunner, Hendrik & Buskens, Vincent & Teslya, Alexandra & Kretzschmar, Mirjam, 2022. "Health behavior homophily can mitigate the spread of infectious diseases in small-world networks," Social Science & Medicine, Elsevier, vol. 312(C).
    2. Marco Pangallo & Alberto Aleta & R. Maria del Rio-Chanona & Anton Pichler & David Martín-Corral & Matteo Chinazzi & François Lafond & Marco Ajelli & Esteban Moro & Yamir Moreno & Alessandro Vespignani, 2024. "The unequal effects of the health–economy trade-off during the COVID-19 pandemic," Nature Human Behaviour, Nature, vol. 8(2), pages 264-275, February.
    3. Elizabeth Dolan & James Goulding & Harry Marshall & Gavin Smith & Gavin Long & Laila J. Tata, 2023. "Assessing the value of integrating national longitudinal shopping data into respiratory disease forecasting models," Nature Communications, Nature, vol. 14(1), pages 1-19, December.
    4. Michele Tizzoni & Elaine O. Nsoesie & Laetitia Gauvin & Márton Karsai & Nicola Perra & Shweta Bansal, 2022. "Addressing the socioeconomic divide in computational modeling for infectious diseases," Nature Communications, Nature, vol. 13(1), pages 1-7, December.
    5. Thomas Ash & Antonio M. Bento & Daniel Kaffine & Akhil Rao & Ana I. Bento, 2022. "Disease-economy trade-offs under alternative epidemic control strategies," Nature Communications, Nature, vol. 13(1), pages 1-14, December.

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