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Network structural dynamics and infectious disease propagation

Potterat, J J, Rothenberg, R B, Muth, S Q·1999·International Journal of STD & AIDS

Abstract

We aimed to relate dynamic changes in risk-network (sex and/or injecting drug) structure to observe STD/HIV transmission. We analysed macroand micro-structural elements in 2 heterosexual networks, augmented by ethnographic observations. In a Colorado cohort of injecting drug users (n=595), measures of subgroup formation and of density of activity show decrease of network cohesion over time; only one HIV transmission was observed in 3 years. In a group of adolescent heterosexuals in Georgia (n=99), the reverse process (increase in structural cohesion) was associated with efficient syphilis transmission: 10 cases were observed. Changes in personal risk behaviours over time were modest. STD/HIV transmission patterns were associated with intensification or diminution of network cohesion. Network and ethnographic data suggest that enhanced connectivity facilitates transmission while segmentation impedes it, suggesting opportunities for interventions. These data also emphasize the need to re-evaluate purely behavioural explanations of STD/HIV transmission.

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Metadata

Authors
Potterat, J. J., Rothenberg, R. B., & Muth, S. Q.
Venue
International Journal of STD & AIDS
Published
1999-03-01
Volume
10
Issue
3
Pages
182-185
ISSN
  • 0956-4624 (ISSN-L)
  • 1758-1052
OpenAlex
W2044419048
Cited by
175
References
0
FWCI
5.61
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Network structural dynamics and infectious disease propagation. https://app.cochat.ai/papers/10.1258/0956462991913853
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Potterat, J. J., Rothenberg, R. B., & Muth, S. Q. (1999). Network structural dynamics and infectious disease propagation. International Journal of STD & AIDS. https://doi.org/10.1258/0956462991913853

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.