A new method for estimating the effort required to control an infectious disease
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Open Access
- 7 July 2003
- journal article
- Published by The Royal Society in Proceedings Of The Royal Society B-Biological Sciences
- Vol. 270 (1522) , 1359-1364
- https://doi.org/10.1098/rspb.2003.2339
Abstract
We propose a new threshold quantity for the analysis of the epidemiology of infectious diseases. The quantity is similar in concept to the familiar basic reproduction ratio, R0, but it singles out particular host types instead of providing a criterion that is uniform for all host types. Using this methodology we are able to identify the long–term effects of disease–control strategies for particular subgroups of the population, to estimate the level of control necessary when targeting control effort at a subset of host types, and to identify host types that constitute a reservoir of infection. These insights cannot be obtained by using R0 alone.Keywords
This publication has 21 references indexed in Scilit:
- Identifying Reservoirs of Infection: A Conceptual and Practical ChallengeEmerging Infectious Diseases, 2002
- Erasing the World's Slow Stain: Strategies to Beat Multidrug-Resistant TuberculosisScience, 2002
- The role of wildlife in Mycobacterium bovis infection of livestock in New ZealandNew Zealand Veterinary Journal, 2002
- Imperfect vaccines and the evolution of pathogen virulenceNature, 2001
- Transmission potential of smallpox in contemporary populationsNature, 2001
- How Viruses Spread Among Computers and PeopleScience, 2001
- The Foot-and-Mouth Epidemic in Great Britain: Pattern of Spread and Impact of InterventionsScience, 2001
- Vector‐borne diseases and the basic reproduction number: a case study of African horse sicknessMedical and Veterinary Entomology, 1996
- A Model for Chagas Disease Involving Transmission by Vectors and Blood TransfusionTheoretical Population Biology, 1994
- On the definition and the computation of the basic reproduction ratio R 0 in models for infectious diseases in heterogeneous populationsJournal of Mathematical Biology, 1990