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Social networks, risk-potential networks, health, and disease
Friedman & Aral use a social network approach to examine the spread of disease. Their article introduces some important network concepts & outlines how networks can affect behavior & infection probabilities. Risk-potential networks are defined as patterns of risk-potential linkages among...
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Published in: | Journal of urban health 2001-09, Vol.78 (3), p.411-418 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that cite this one |
Online Access: | Get full text |
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Summary: | Friedman & Aral use a social network approach to examine the spread of disease. Their article introduces some important network concepts & outlines how networks can affect behavior & infection probabilities. Risk-potential networks are defined as patterns of risk-potential linkages among a group of people, with risk-potential linkage being a tie between two people that can spread infection. For HIV infection, having sex & injecting drugs are risk-potential linkages. The article explains that egocentric networks only concern the direct linkages of a given person, & sociometric networks consist of a set of people & all linkages among them. Friedman & Aral then discuss the five papers in the special issue that demonstrate the benefits of network analysis. The article then discusses other issues in using networks to study & intervene in health-related matters not mentioned in the included articles. It is concluded that network research offers promise for improving health & responding to epidemics. 2 Figures, 21 References. J. Backman |
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ISSN: | 1099-3460 1471-8505 1468-2869 |
DOI: | 10.1093/jurban/78.3.411 |