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http://dx.doi.org/10.5351/KJAS.2008.21.4.649

Developing the Index of Foodborne Disease Occurrence  

Choi, Kook-Yeol (Dept. of Data Science, Inje University)
Kim, Byung-Soo (Dept. of Data Science, Inje University)
Bae, Wha-Soo (Dept. of Data Science, Inje University)
Jung, Woo-Seok (Dept. of Data Science, Inje University)
Cho, Young-Joon (Dept. of Data Science, Inje University)
Publication Information
The Korean Journal of Applied Statistics / v.21, no.4, 2008 , pp. 649-658 More about this Journal
Abstract
As the Eating Out Businesses are making rapid progress and most of the schools and the firms serve the meals, the foodborne disease has occurred increasingly and lots of researches and the policies are studied to prevent it. In Korea, the foodborne disease index for prevention is developed by using bacterial growth rate on the temperature to give the information about the danger level of the foodborne disease, but the gap between real status of the occurrences and the predicted danger level has been pointed out. This study aims at developing the index of the foodborne occurrence based on the log linear model using the data of the foodborne disease occurrence and the meteorological data for the last three years($2004{\sim}2006$). Comparison between the new index and the existing index showed that the new index is better in explaining the foodborne disease occurrence.
Keywords
Foodborne disease; log linear model; index of the foodborne disease occurrence;
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