Big Data Study about the Effects of Weather Factors on Food Poisoning Incidence

기상요인과 식중독 발병의 연관성에 대한 빅 데이터 분석

  • Park, Ji-Ae (Dept. of Data Science, Kookmin University) ;
  • Kim, Jang-Mook (Dept. of Health Administration, College of Health Science, Dankook University) ;
  • Lee, Ho-Sung (NowDream Co., Ltd.) ;
  • Lee, He-Jin (National Institute of Meteorological Research, KMA)
  • 박지애 (국민대학교 데이터사이언스학과) ;
  • 김장묵 (단국대학교 보건행정학과) ;
  • 이호성 ((주)나우드림) ;
  • 이해진 (기상청 서비스기반국 기상기술융합팀)
  • Received : 2016.01.15
  • Accepted : 2016.03.20
  • Published : 2016.03.28


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


Supported by : Korea Meteorological Administration, KMIPA


  1. Atul A. Khasnis and Mary D. Nettleman, "Grobal Warming and Infectious Disease", Archives of Medical Research, Vol.36, p689-696, 2005.
  2. Yong Soo Kim, Ki Hwan Park, Hyang Sook Chun, Changsun Choi, Gyung Jin Bah, "Correlations between climatic conditions and foodborne disease", Food Research International, Vol.68, pp.24-30. 2015.
  3. Xiaoxu Wu, Yongmei Lu, Sen Zhou, Lifan Chen, Bing Xu, "Impact of climate change on human infectious diseases: Emprical evidence and human adaptation", Environment International, Vol.86, pp.14-23. 2015.
  4. Jan C Semenxa, Bettina Menne, "Climate change and infectious disease in Europe",, Vol.9, 2009.
  5. Katherine M. Rovert T, Richard W, David B, "Climate change and allergic disease", American Academy of Allergy, Asthma & Immunology, Vol.122, pp.443-453, 2008.
  6. R. Konno, "Influence of Temperature and Relative Humidity on Human Rotavirus Infection in Japan". INFECTIOUS DISEASE, Vol.147, No.1, pp. 125-128. 1983.
  7. Xiaoxu Wu, Yongmei Lu, Sen Zhou, Lifan Chen, Bing Xu, "Impact of climate change on human infectious diseases: Emprical evidence and human adaptation", Environment International, Vol.86, pp.14-23 .2015.
  8. Graham Bentham and lan H. Langford, "Climate change and the incidence of food poisoning in England and Wales",International Journal of Biometeorology, 1995.
  9. Patz JA, Vavrus SJ, Uejio CK, McLellan SL. "Climate change and waterborne disease risk in the Great Lakes region of the U.S.", American Journal of Preventive Medicine, Vol.35, pp.451-458, 2008.
  10. Gareth James, Daniel a Witten, Trenor Hastie, Robert Tibshirani, "An Instroduction to Statistical Learning with R", Springer, 2013.
  11. Yeom Jun Geun, "Analysis of Linear Regression", Paju: JaUoo Academy, 2005.
  12. The Lasso Logistic Regression Model: Modifications to aid causality assessment for Adverse Events Following Immunization. LONDON SCHOOL of HYGIENE&TROPICAL MEDICINE, 2010.
  13. Kun Ho Seo, "The Impact of Climate Change on the Food-borne Disease", Korean Journal of Veterinary Research, Vol.50, pp.64-66. 2010.
  14. J.D.Greig, A.Ravel, "Analysis of foodborne outbreak data reported internationally for source attribution", International Journal of Food Microbiology, Vol.130, pp.77-87, 2009.
  15. R. S. KOVATS, S. J. EDWARDS, S. HAJAT, B. G. ARMSTRONG, K.L. EBI, B.MENNE and The Collaborating Group, "The effect of temperature on food poisoning: a time-series analysis of salmonellosis in ten Europea countries", Epidemiol, Vol.132, pp.443-453, 2004.
  16. Ho Sung Shin, Gi Hye Jung, Si Mon Yoon, Su Hyeng Lee, "Prediction of climate change and food poisoning", Health and Social Welfare Review, 29(1), 2009, 143-162.
  17. Craig Baker-Austin, Joaquin A. Trinanes, Nick G. H. Taylor, Rachel Hartnell, Anja Siitonen & Jaime Martinez-Urtaza, "Emerging Vibrio risk in the Baltic Sea in response to ocean warming", Nature Climate Change 3, 73-77 (2013)
  18. Ho Sung Shin, Si Mon Yoon, Jin wook Jung, Jung Sun Kim, "The Impacts of Climate Change and Age Factors on the Food-borne Disease", Korea Institute for Health and Social Affairs, 2015, 186-210
  19. Young-Suk Chung, Rack-Koo Park, Jin-Mook Kim, "Study on predictive modeling of incidence of traffic accidents caused by weather conditions", Journal of the Korea Convergence Society, Vol. 5, No. 1, pp. 9-15, 2014.
  20. Kyoungho Choi, Jin Ah Yoo, "A reviews on the social network analysis using R", Journal of the Korea Convergence Society, Vol. 6, No. 1, pp. 77-83, 2015.