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An Age-Structured Model of Pre- and Post-Vaccination Measles Transmission
Abstract
An infection like measles does not spread uniformly in populations from Europe and North America. Of special importance is a pronounced age-dependency in the contact rates, because of increased infection transmission within schools. Therefore an age-structured epidemiologic model is investigated here, which also pays attention to the fact that children are promoted grade-wise into and out of school. Simulation results are contrasted with pre- and post-vaccination measles data from England and Wales and the model is shown to perform better than previous global mass-action models.
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Citations
Cited by
Influence of nonlinear incidence rates upon the behavior of SIRS epidemiological models
Liu, W.-M., Levin, S. A., & Iwasa, Y. (1986) · Journal of Mathematical Biology · doi:10.1007/bf00276956 · Cited by 873
Population Dynamics of Pathogens with Multiple Host Species
Dobson, A. (2004) · The American Naturalist · doi:10.1086/424681 · Cited by 567
Appropriate Models for the Management of Infectious Diseases
Wearing, H. J., Rohani, P., & Keeling, M. J. (2005) · PLoS Medicine · doi:10.1371/journal.pmed.0020174 · Cited by 533
Disease Extinction and Community Size: Modeling the Persistence of Measles
Keeling, M. J., & Grenfell, B. T. (1997) · Science · doi:10.1126/science.275.5296.65 · Cited by 401
Brisson, M., & Edmunds, W. J. (2006) · Medical Decision Making · doi:10.1177/0272989x06290485 · Cited by 109
Metadata
- Authors
- SCHENZLE, D.
- Venue
- Mathematical Medicine and Biology
- Publisher
- Oxford University Press (OUP)
- Published
- 1984
- Volume
- 1
- Issue
- 2
- Pages
- 169-191
- ISSN
- 1477-8599 (ISSN-L)
- 1477-8602
- OpenAlex
- W2099759919
- Cited by
- 429
- References
- 0
- FWCI
- 5.97
- Type
- journal article
- Language
- en
- Open access
- closed
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- SCHENZLE, D. (1984). An Age-Structured Model of Pre- and Post-Vaccination Measles Transmission. Mathematical Medicine and Biology. https://doi.org/10.1093/imammb/1.2.169
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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.
