The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Modeling dynamic and network heterogeneities in the spread of sexually transmitted diseases
Open accessAbstract
A wide range of communicable human diseases can be considered as spreading through a network of possible transmission routes. The implied network structure is vital in determining disease dynamics, especially when the average number of connections per individual is small as is the case for many sexually transmitted diseases (STDs). Here we develop an intuitive mathematical framework to deal with the heterogeneities implicit within contact networks and those that arise because of the infection process. These models are compared with full stochastic simulations and show excellent agreement across a wide range of parameters. We show how such models can be used to estimate parameters of epidemiological importance, and how they can be extended to examine the effectiveness of various control strategies, in particular screening programs and contact tracing.
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Cites
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Cited by
Epidemic processes in complex networks
Pastor-Satorras, R., Castellano, C., Van Mieghem, P., & Vespignani, A. (2015) · Reviews of Modern Physics · doi:10.1103/revmodphys.87.925 · Cited by 3,697
Watts, D. J. (2004) · Annual Review of Sociology · doi:10.1146/annurev.soc.30.020404.104342 · Cited by 1,163
When individual behaviour matters: homogeneous and network models in epidemiology
Bansal, S., Grenfell, B. T., & Meyers, L. A. (2007) · Journal of The Royal Society Interface · doi:10.1098/rsif.2007.1100 · Cited by 722
Machens, A., Gesualdo, F., Rizzo, C., Tozzi, A. E., Barrat, A., & Cattuto, C. (2013) · BMC Infectious Diseases · doi:10.1186/1471-2334-13-185 · Cited by 125
Metadata
- Authors
- Eames, K. T. D., & Keeling, M. J.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2002-09-23
- Volume
- 99
- Issue
- 20
- Pages
- 13330-13335
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2141206236
- Cited by
- 478
- References
- 42
- FWCI
- 8.00
- Type
- journal article
- Language
- en
- Open access
- green
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- Eames, K. T. D., & Keeling, M. J. (2002). Modeling dynamic and network heterogeneities in the spread of sexually transmitted diseases. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.202244299
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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.