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신호성 ( Shin Hosung ),정기혜 ( Yun Simon ),윤시몬 ( Chung Kee Hey ),이수형 ( Lee Suehyung ) 한국보건사회연구원 2009 保健社會硏究 Vol.29 No.1
There is enormous public interest in measuring the impacts of climate change. Food borne diseases may be one of the most significant contemporary public health problems. The purpose of this study was to estimate the prevalence of food borne diseases due to the climate change and to predict their future impact. The analytical approach used generalized linear Poisson regression models adapted for timeseries data. To account for seasonal patterns of food-borne disease not directly due to weather factors, Fourier terms with annual periodicity were introduced into the model. To allow autocorrelation due to biological process of pathogen development and host reaction and the longterm trend, we considered time lags and year variable. The data we used was a panel data for the years between 2003 and 2007. The food-borne disease patients increased 5.27~5.99%(relative risk rate) per a Celsius degree. Moreover, the weekly food-borne disease patients increased 6.18~7.01%(relative risk rate) per a Celsius degree. In the case of the weekly patients, the relative humidity was significant, so the weekly patient decreased 1.7% when the relative humidity increased 1%. Compared to reference year, 2003, there was no a certain trend in the food borne disease patients due to differences as per year and analysis methods. Climate change will not result in a uniform warming over the globe. With the oceanic and atmospheric circulations, large scale change will adjust smaller scale weather features including the frequency of extreme events, and in turn the prevalence of food-borne diseases. Disease surveillance, proper case management, environmental monitoring and international communication systems were the keys for curbing the spread of contamination and the outbreak of food-borne diseases.
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신호성 ( Shin Ho-sung ),윤시몬 ( Yun Simon ),정진욱 ( Jeong Jin-wook ),김정선 ( Kim Jeong Seon ) 한국보건사회연구원 2015 保健社會硏究 Vol.35 No.1
This study modeled the relation between changes in temperature and precipitation and occurrence of infectious enteritis by age based on the health insurance claim data from Health Insurance Review & Assessment Service (HIRA) from 2004 to 2008 and climate data measured by Automatic Weather System in Korea Meteorological Administration. The correlation was observed between food poisoning and temperature. The slope before and after the inflection point refers to the frequency of food poisoning during the daytime by city, county and district with increase in unit temperature. In a model in which both elderly and non-elderly people were considered, temperature rose by 1℃ after 24.3℃. Therefore, the frequency of the disease during the daytime by city, county and district also increased by 5.7. In sum, as average daytime temperature increases by 1℃ after 24.3℃, the frequency of the food borne presumptive eteritis during the daytime rose by 5% (a group of non-elderly people (7.7 cases) was 4.3 times greater than a group of elderly people (1.8 cases)). If Korea`s mean annual temperature increases by 3.2℃ after 24.3℃ in 2050, the frequency of the food borne presumptive disease would rise by 16%.
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현윤진,김정선,정진욱,윤시몬,이문수,Hyun, Yoonjin,Kim, Jeong Seon,Jeong, Jin-Wook,Yun, Simon,Lee, Moon-Soo 한국데이터정보과학회 2015 한국데이터정보과학회지 Vol.26 No.2
Despite of correlation between climate changes and food-related information, it is still not easy for many users to get access to the information with interest. This study investigated how much climate change and food-related information are correlated with each other and how often they are exposed through frequency and correlation analysis on news articles on the internet portals. Through analysis on the frequency of climate change and food-related news articles, this study was able to figure out how often they are exposed at the same time by the internet news portals. In addition, a total of 59 correlation rules regarding the climate change and food-related vocabularies were derived from these news articles using the climate change and food-related glossaries. Then, a correlation between certain climate change-related and food-related words was analyzed in order to package the related words.
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