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Big Data Study about the Effects of Weather Factors on Food Poisoning Incidence
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  • Journal title : Journal of Digital Convergence
  • Volume 14, Issue 3,  2016, pp.319-327
  • Publisher : The Society of Digital Policy and Management
  • DOI : 10.14400/JDC.2016.14.3.319
 Title & Authors
Big Data Study about the Effects of Weather Factors on Food Poisoning Incidence
Park, Ji-Ae; Kim, Jang-Mook; Lee, Ho-Sung; Lee, He-Jin;
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This research attempts an analysis that fuses the big data concerning weather variation and health care from January 1, 2011 to December 31, 2014; it gives the weather factor as to what kind of influence there is for the incidence of food poisoning, and also endeavors to be helpful regarding national health prevention. By using R, the Logistic and Lasso Logistic Regression were analyzed. The main factor germ generating the food poisoning was classified and the incidence was confirmed for the germ of bacteria and virus. According to the result of the analysis of Logistic Regression, we found that the incidence of bacterial food poisoning was affected by the following influences: the average temperature, amount of sunshine deviation, and deviation of temperature. Furthermore, the weather factors, having an effect on the incidence of viral food poisoning, were: the minimum vapor pressure, amount of sunshine deviation and deviation of temperature. This study confirmed the correlation of meteorological factors and incidence of food poisoning. It was also found out that even if the incidence from two causes were influenced by the same weather factor, the incidence might be oppositely affected by the characteristic of the germs.
Big Data;Meteorological Data;Bacterial Food Poisoning;Viral Food Poisoning;Incidence;
 Cited by
인공신경망을 이용한 기상관측장비 결측 보완 기술에 관한 연구,민재식;이무훈;지준범;장민;

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