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Social networks and the spread of infectious diseases: The AIDS example

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  • Klovdahl, Alden S.

Abstract

Conceptualizing a population as a set of individuals linked together to form a large social network provides a fruitful perspective for better understanding the spread of some infectious diseases. Data related to AIDS (the acquired immune deficiency syndrome) were used to illustrate the potential usefulness of a network approach in evaluating the infectious agent hypothesis when studying a disease or disease outbreak of unknown etiology and in developing strategies to limit the spread of an infectious agent transmitted through personal relationships.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:socmed:v:21:y:1985:i:11:p:1203-1216
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    Cited by:

    1. Wang, Yi & Jin, Zhen, 2013. "Global analysis of multiple routes of disease transmission on heterogeneous networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(18), pages 3869-3880.
    2. Samuel F Rosenblatt & Jeffrey A Smith & G Robin Gauthier & Laurent Hébert-Dufresne, 2020. "Immunization strategies in networks with missing data," PLOS Computational Biology, Public Library of Science, vol. 16(7), pages 1-21, July.
    3. Kuchler, Theresa & Russel, Dominic & Stroebel, Johannes, 2022. "JUE Insight: The geographic spread of COVID-19 correlates with the structure of social networks as measured by Facebook," Journal of Urban Economics, Elsevier, vol. 127(C).
    4. Elena Calvo Gallardo & Juan Carlos Fernandez de Arroyabe & Nieves Arranz, 2020. "Preventing Internal COVID-19 Outbreaks within Businesses and Institutions: A Methodology Based on Social Networks Analysis for Supporting Occupational Health and Safety Services Decision Making," Sustainability, MDPI, vol. 12(11), pages 1-16, June.
    5. Neaigus, A. & Friedman, S. R. & Kottiri, B. J. & Des Jarlais, D. C., 2001. "HIV risk networks and HIV transmission among injecting drug users," Evaluation and Program Planning, Elsevier, vol. 24(2), pages 221-226, May.
    6. Eva Enns & Margaret Brandeau, 2011. "Inferring model parameters in network-based disease simulation," Health Care Management Science, Springer, vol. 14(2), pages 174-188, June.
    7. Martina Morris, 1993. "Epidemiology and Social Networks:," Sociological Methods & Research, , vol. 22(1), pages 99-126, August.
    8. Yu, Hui & Cao, Xi & Liu, Zun & Li, Yongjun, 2017. "Identifying key nodes based on improved structural holes in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 318-327.
    9. Matt J Keeling & Thomas House & Alison J Cooper & Lorenzo Pellis, 2016. "Systematic Approximations to Susceptible-Infectious-Susceptible Dynamics on Networks," PLOS Computational Biology, Public Library of Science, vol. 12(12), pages 1-18, December.
    10. Mirjam Kretzschmar & Jacco Wallinga, 2007. "Editorial," Mathematical Population Studies, Taylor & Francis Journals, vol. 14(4), pages 203-209, November.
    11. Côme Billard, 2020. "Technology Contagion in Networks," Working Papers 2020.01, FAERE - French Association of Environmental and Resource Economists.
    12. Giampiero Marra & Rosalba Radice & Till Bärnighausen & Simon N. Wood & Mark E. McGovern, 2017. "A Simultaneous Equation Approach to Estimating HIV Prevalence With Nonignorable Missing Responses," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(518), pages 484-496, April.
    13. 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).
    14. Andrews, Clinton J. & Krogmann, Uta, 2009. "Technology diffusion and energy intensity in US commercial buildings," Energy Policy, Elsevier, vol. 37(2), pages 541-553, February.
    15. Xianlei Dong & Mengge Sun & Jingguo Wang & Zhihan Yang & Beibei Hu, 2019. "Understanding the Hierarchical Relationships in Female Sex Workers’ Social Networks Based on Knowledge, Attitude, and Practice," IJERPH, MDPI, vol. 16(20), pages 1-22, October.

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