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Molecular epidemiology of tuberculosis transmission: Contextualizing the evidence through social network theory

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  • Hollm-Delgado, Maria-Graciela

Abstract

Despite a long-standing recognition that factors such as age, gender, and socioeconomic status play a fundamental role in tuberculosis transmission and susceptibility, few molecular epidemiological studies have fully elucidated the etiological mechanisms by which each of these social factors may influence transmission of the disease. In this paper, we propose that in order to achieve this goal, molecular epidemiology must move towards a more holistic approach for disease transmission, thus enabling social theory to be integrated into molecular epidemiological studies on tuberculosis. We then present a social network model to illustrate how molecular and social epidemiology can be combined to study disease transmission patterns, and provide preliminary molecular epidemiological evidence to support the role of social networks in tuberculosis transmission.

Suggested Citation

  • Hollm-Delgado, Maria-Graciela, 2009. "Molecular epidemiology of tuberculosis transmission: Contextualizing the evidence through social network theory," Social Science & Medicine, Elsevier, vol. 69(5), pages 747-753, September.
    • Handle: RePEc:eee:socmed:v:69:y:2009:i:5:p:747-753
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    1. Friedman, S.R. & Neaigus, A. & Jose, B. & Curtis, R. & Goldstein, M. & Ildefonso, G. & Rothenberg, R.B. & Des Jarlais, D.C., 1997. "Sociometric risk networks and risk for HIV infection," American Journal of Public Health, American Public Health Association, vol. 87(8), pages 1289-1296.
    2. Neaigus, Alan & Friedman, Samuel R. & Curtis, Richard & Des Jarlais, Don C. & Terry Furst, R. & Jose, Benny & Mota, Patrice & Stepherson, Bruce & Sufian, Meryl & Ward, Thomas & Wright, Jerome W., 1994. "The relevance of drug injectors' social and risk networks for understanding and preventing HIV infection," Social Science & Medicine, Elsevier, vol. 38(1), pages 67-78, January.
    3. Klovdahl, A.S. & Potterat, J.J. & Woodhouse, D.E. & Muth, J.B. & Muth, S.Q. & Darrow, W.W., 1994. "Social networks and infectious disease: The Colorado Springs study," Social Science & Medicine, Elsevier, vol. 38(1), pages 79-88, January.
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