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Epidemiological simulation modeling and spatial analysis for foot-and-mouth disease control strategies: a comprehensive review

Published online by Cambridge University Press:  09 December 2011

Sith Premashthira
Affiliation:
Animal Population Health Institute, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO 80523, USA,
Mo D. Salman*
Affiliation:
Animal Population Health Institute, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO 80523, USA,
Ashley E. Hill
Affiliation:
Animal Population Health Institute, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO 80523, USA, California Animal Health and Food Safety Laboratory System, University of California, Davis, CA 95617, USA,
Robin M. Reich
Affiliation:
Department of Forest and Rangeland Stewardship, Warner College of Natural Resources, Colorado State University, Fort Collins, CO 80523, USA and
Bruce A. Wagner
Affiliation:
Animal Population Health Institute, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO 80523, USA, National Animal Health Monitoring System, Animal and Plant Health Inspection Service, United States Department of Agriculture, Fort Collins, CO 80526, USA
*
*Corresponding author. E-mail: m.d.salman@colostate.edu

Abstract

Foot-and-mouth disease (FMD) is one of the most serious transboundary, contagious viral diseases of cloven-hoofed livestock, because it can spread rapidly with high morbidity rates when introduced into disease-free herds or areas. Epidemiological simulation modeling can be developed to study the hypothetical spread of FMD and to evaluate potential disease control strategies that can be implemented to decrease the impact of an outbreak or to eradicate the virus from an area. Spatial analysis, a study of the distributions of events in space, can be applied to an area to investigate the spread of animal disease. Hypothetical FMD outbreaks can be spatially analyzed to evaluate the effect of the event under different control strategies. The main objective of this paper is to review FMD-related articles on FMD epidemiology, epidemiological simulation modeling and spatial analysis with the focus on disease control. This review will contribute to the development of models used to simulate FMD outbreaks under various control strategies, and to the application of spatial analysis to assess the outcome of FMD spread and its control.

Type
Review Article
Copyright
Copyright © Cambridge University Press 2011

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