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The social and political lives of zoonotic disease models: Narratives, science and policy

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  • Leach, Melissa
  • Scoones, Ian

Abstract

Zoonotic diseases currently pose both major health threats and complex scientific and policy challenges, to which modelling is increasingly called to respond. In this article we argue that the challenges are best met by combining multiple models and modelling approaches that elucidate the various epidemiological, ecological and social processes at work. These models should not be understood as neutral science informing policy in a linear manner, but as having social and political lives: social, cultural and political norms and values that shape their development and which they carry and project. We develop and illustrate this argument in relation to the cases of H5N1 avian influenza and Ebola, exploring for each the range of modelling approaches deployed and the ways they have been co-constructed with a particular politics of policy. Addressing the complex, uncertain dynamics of zoonotic disease requires such social and political lives to be made explicit in approaches that aim at triangulation rather than integration, and plural and conditional rather than singular forms of policy advice.

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  • Leach, Melissa & Scoones, Ian, 2013. "The social and political lives of zoonotic disease models: Narratives, science and policy," Social Science & Medicine, Elsevier, vol. 88(C), pages 10-17.
    • Handle: RePEc:eee:socmed:v:88:y:2013:i:c:p:10-17
    DOI: 10.1016/j.socscimed.2013.03.017
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    1. Kate E. Jones & Nikkita G. Patel & Marc A. Levy & Adam Storeygard & Deborah Balk & John L. Gittleman & Peter Daszak, 2008. "Global trends in emerging infectious diseases," Nature, Nature, vol. 451(7181), pages 990-993, February.
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    1. > Economics of Welfare > Health Economics > Economics of Pandemics > Specific pandemics > Ebola

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    3. Wallace, Matthew L. & Ràfols, Ismael, 2018. "Institutional shaping of research priorities: A case study on avian influenza," Research Policy, Elsevier, vol. 47(10), pages 1975-1989.
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    5. Leach, Melissa & MacGregor, Hayley & Scoones, Ian & Wilkinson, Annie, 2021. "Post-pandemic transformations: How and why COVID-19 requires us to rethink development," World Development, Elsevier, vol. 138(C).
    6. Warren Pearce, 2020. "Trouble in the trough: how uncertainties were downplayed in the UK’s science advice on Covid-19," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-6, December.
    7. Paige, Sarah B. & Malavé, Carly & Mbabazi, Edith & Mayer, Jonathan & Goldberg, Tony L., 2015. "Uncovering zoonoses awareness in an emerging disease ‘hotspot’," Social Science & Medicine, Elsevier, vol. 129(C), pages 78-86.
    8. Steve Hinchliffe & Andrea Butcher & Muhammad Meezanur Rahman, 2018. "The AMR problem: demanding economies, biological margins, and co-producing alternative strategies," Palgrave Communications, Palgrave Macmillan, vol. 4(1), pages 1-12, December.
    9. Helliwell, Richard, 2018. "Where did the marginal land go? Farmers perspectives on marginal land and its implications for adoption of dedicated energy crops," Energy Policy, Elsevier, vol. 117(C), pages 166-172.
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    12. James D. Ford & Tristan Pearce & Graham McDowell & Lea Berrang-Ford & Jesse S. Sayles & Ella Belfer, 2018. "Vulnerability and its discontents: the past, present, and future of climate change vulnerability research," Climatic Change, Springer, vol. 151(2), pages 189-203, November.
    13. Wallace, Robert G. & Bergmann, Luke & Kock, Richard & Gilbert, Marius & Hogerwerf, Lenny & Wallace, Rodrick & Holmberg, Mollie, 2015. "The dawn of Structural One Health: A new science tracking disease emergence along circuits of capital," Social Science & Medicine, Elsevier, vol. 129(C), pages 68-77.
    14. Bardosh, Kevin & Inthavong, Phouth & Xayaheuang, Sivilai & Okello, Anna L., 2014. "Controlling parasites, understanding practices: The biosocial complexity of a One Health intervention for neglected zoonotic helminths in northern Lao PDR," Social Science & Medicine, Elsevier, vol. 120(C), pages 215-223.

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    More about this item

    Keywords

    Zoonoses; Modelling; Uncertainty; Ebola; H5N1;
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