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A Conceptual Framework for an Individual-Based Spatially Explicit Epidemiological Model

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  • Ling Bian

    (Department of Geography, State University of New York at Buffalo, Amherst, NY 14261-0055, USA)

Abstract

This paper presents a conceptual framework to formalize an individual-based and spatially explicit model of the epidemiology of infectious diseases. The framework differs from that of the traditional population-based epidemiological models in terms of assumptions, conceptual models, and model structures. In particular, the author discusses four aspects of the model: (1) population segments or unique individuals as the modeling unit, (2) continuous process or discrete events to represent the disease development through time, (3) traveling wave or network dispersion to represent the disease transmission in space, and (4) within-group and between-group interactions to represent local and long-distance transmissions. Based on these conceptual discussions, a simple influenza epidemic is simulated in order to illustrate the application of the proposed framework.

Suggested Citation

  • Ling Bian, 2004. "A Conceptual Framework for an Individual-Based Spatially Explicit Epidemiological Model," Environment and Planning B, , vol. 31(3), pages 381-395, June.
    • Handle: RePEc:sae:envirb:v:31:y:2004:i:3:p:381-395
    DOI: 10.1068/b2833
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    Cited by:

    1. Wei Zhong, 2017. "Simulating influenza pandemic dynamics with public risk communication and individual responsive behavior," Computational and Mathematical Organization Theory, Springer, vol. 23(4), pages 475-495, December.
    2. Bonnell, Tyler R. & Sengupta, Raja R. & Chapman, Colin A. & Goldberg, Tony L., 2010. "An agent-based model of red colobus resources and disease dynamics implicates key resource sites as hot spots of disease transmission," Ecological Modelling, Elsevier, vol. 221(20), pages 2491-2500.

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