Whitaker, H.J. and Farrington, C.P.
(2004).
| DOI (Digital Object Identifier) Link: | https://doi.org/10.1002/sim.1819 |
|---|---|
| Google Scholar: | Look up in Google Scholar |
Abstract
Serological surveys are a useful source of information about epidemiological parameters for infectious diseases. In particular they may be used to estimate contact rates, forces of infection, the reproduction number and the critical vaccination threshold. However, these estimation methods require the assumption that the infection is in endemic equilibrium. Such equilibria seldom exist in practice: for example, many common infections of childhood exhibit regular epidemic cycles. In this paper, we investigate whether ignoring such cycles produces biased estimates. We apply the methods to data on mumps and rubella in the U.K. prior to the introduction of the combined measles, mumps, rubella (MMR) vaccine. We conclude that past epidemics have only a marginal effect on estimates, and that standard methods that do not adjust for regular epidemics are valid. Copyright © 2004 John Wiley & Sons, Ltd.
| Item Type: | Journal Item |
|---|---|
| ISSN: | 0277-6715 |
| Keywords: | critical vaccination threshold; epidemic; force of infection; infectious disease; reproduction number; sensitivity analysis; serological survey |
| Academic Unit/School: | Faculty of Science, Technology, Engineering and Mathematics (STEM) > Mathematics and Statistics Faculty of Science, Technology, Engineering and Mathematics (STEM) |
| Item ID: | 3795 |
| Depositing User: | Heather Whitaker |
| Date Deposited: | 30 Jun 2006 |
| Last Modified: | 11 May 2017 14:01 |
| URI: | http://oro.open.ac.uk/id/eprint/3795 |
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