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http://dx.doi.org/10.7465/jkdi.2014.25.2.271

A study on the spread of the foot-and-mouth disease in Korea in 2010/2011  

Hwang, Jihyun (Department of Statistics, Yeungnam University)
Oh, Changhyuck (Department of Statistics, Yeungnam University)
Publication Information
Journal of the Korean Data and Information Science Society / v.25, no.2, 2014 , pp. 271-280 More about this Journal
Abstract
Foot-and-mouth Disease (FMD) is a highly infectious and fatal viral livestock disease that affects cloven-hoofed animals domestic and wild and the FMD outbreak in Korea in 2010/2011 was a disastrous incident for the country and the economy. Thus, efforts at the national level are put to prevent foot-and-mouth disease and to reduce the damage in the case of outbreak. As one of these efforts, it is useful to study the spread of the disease by using probabilistic model. In fact, after the FMD epidemic in the UK occurred in 2001, many studies have been carried on the spread of the disease using a variety of stochastic models as an effort to prepare future outbreak of FMD. However, for the FMD outbreak in Korea occurred in 2010/2011, there are few study by utilizing probabilistic model. This paper assumes a stochastic spatial-temporal susceptible-infectious-removed (SIR) epidemic model for the 2010/2011 FMD outbreak to understand spread of the disease. Since data on infections of FMD disease during 2010/2011 outbreak of Aniaml and Plant Quarantine Agency and on the livestock farms from the nationwide census in 2011 of Statistics Korea do not have detail informations on address or missing values, we generate detail information on address by randomly allocating farms within corresponding Si/Gun area. The kernel function is estimated using the infection data and by using simulations, the susceptibility and transmission of the spatial-temporal stochastic SIR models are determined.
Keywords
Foot-and-mouth disease; simulation; spatial-temporal stochastic SIR epidemic model; susceptibility; transmission;
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Times Cited By KSCI : 5  (Citation Analysis)
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