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Contact tracing strategies in heterogeneous populations
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Eames, Ken T. D. (2006) Contact tracing strategies in heterogeneous populations. Epidemiology and Infection, Vol.13 (No.3). pp. 443-454. doi:10.1017/S0950268806006923
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Official URL: http://dx.doi.org/10.1017/S0950268806006923
Abstract
Contact tracing is a well-established disease control measure that seeks to uncover cases by following chains of infection. This paper examines mathematical models of both single-step and iterative contact tracing schemes and analyses the ability of these procedures to trace core groups and the sensitivity of the intervention to the timescale of tracing. An iterative tracing process is shown to be particularly effective at uncovering high-risk individuals, and thus it provides a powerful public health tool. Further targeting of tracing effort is considered. When the population exhibits like-with-like (assortative) mixing the required effort for eradication can be significantly reduced by preferentially tracing the contacts of high-risk individuals; in populations where individuals have reliable information about their contacts, further gains in efficiency can be realized. Contact tracing is, therefore, potentially an even more potent tool than its present usage suggests.
| Item Type: | Journal Article | ||||
|---|---|---|---|---|---|
| Subjects: | R Medicine > RB Pathology | ||||
| Divisions: | Faculty of Science, Engineering and Medicine > Science > Life Sciences (2010- ) > Biological Sciences ( -2010) | ||||
| Library of Congress Subject Headings (LCSH): | Communicable diseases -- Transmission, Epidemiology -- Research, Vector control, Public health surveillance, Medicine -- Research -- Mathematical models | ||||
| Journal or Publication Title: | Epidemiology and Infection | ||||
| Publisher: | Cambridge University Press | ||||
| ISSN: | 0950-2688 | ||||
| Official Date: | 19 July 2006 | ||||
| Dates: |
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| Volume: | Vol.13 | ||||
| Number: | No.3 | ||||
| Page Range: | pp. 443-454 | ||||
| DOI: | 10.1017/S0950268806006923 | ||||
| Status: | Peer Reviewed | ||||
| Access rights to Published version: | Open Access | ||||
| Funder: | Engineering and Physical Sciences Research Council (EPSRC), Medical Research Council (Great Britain) (MRC), Emmanuel College (University of Cambridge) |
Data sourced from Thomson Reuters' Web of Knowledge
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