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Epidemiology and Social Networks:

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  • MARTINA MORRIS

    (Columbia University)

Abstract

The spread of a disease through human populations can be significantly altered by patterned networks of social contact. Largely in response to AIDS, the way in which social networks channel disease has recently become the focus of a sustained modeling effort in epidemiology. The challenge has been to develop a general framework capable of representing both simple and arbitrarily complicated mixing structures, and of solving the matching problem in a non-equilibrium multi-group population. This work is reviewed here. A recent contribution from network analysis links log-linear models of contact structure to diffusion equations for transmission. This framework is described in detail, and some applications to the spread of AIDS are described. The results show that careful analysis of structured mixing can reveal significant features of an epidemic that would otherwise be missed.

Suggested Citation

  • Martina Morris, 1993. "Epidemiology and Social Networks:," Sociological Methods & Research, , vol. 22(1), pages 99-126, August.
    • Handle: RePEc:sae:somere:v:22:y:1993:i:1:p:99-126
    DOI: 10.1177/0049124193022001005
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    References listed on IDEAS

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    1. Cox, J. T. & Durrett, Richard, 1988. "Limit theorems for the spread of epidemics and forest fires," Stochastic Processes and their Applications, Elsevier, vol. 30(2), pages 171-191, December.
    2. Robert Pollak, 1986. "A reformulation of the two-sex problem," Demography, Springer;Population Association of America (PAA), vol. 23(2), pages 247-259, May.
    3. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    4. Klovdahl, Alden S., 1985. "Social networks and the spread of infectious diseases: The AIDS example," Social Science & Medicine, Elsevier, vol. 21(11), pages 1203-1216, January.
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    Cited by:

    1. Tyler H. McCormick & Tian Zheng, 2015. "Latent Surface Models for Networks Using Aggregated Relational Data," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(512), pages 1684-1695, December.

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