Journal of Preventive Medicine and Public Health

  • 제48권4호
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  • Pages.203-215
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  • 2015
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  • 1975-8375(pISSN)
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  • 2233-4521(eISSN)
대한예방의학회 (The Korean Society for Preventive Medicine)
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Correlations Between the Incidence of National Notifiable Infectious Diseases and Public Open Data, Including Meteorological Factors and Medical Facility Resources

  • Jang, Jin-Hwa (Biomedical Prediction Technology Laboratory, Convergence Technology Research Division, Korea Institute of Science and Technology Information) ;
  • Lee, Ji-Hae (Laboratory of Computational Biology and Bioinformatics, Institute of Public Health and Environment, Graduate School of Public Health, Seoul National University) ;
  • Je, Mi-Kyung (Laboratory of Computational Biology and Bioinformatics, Institute of Public Health and Environment, Graduate School of Public Health, Seoul National University) ;
  • Cho, Myeong-Ji (Laboratory of Computational Biology and Bioinformatics, Institute of Public Health and Environment, Graduate School of Public Health, Seoul National University) ;
  • Bae, Young Mee (Department of Parasitology and Tropical Medicine, Seoul National University College of Medicine) ;
  • Son, Hyeon Seok (Laboratory of Computational Biology and Bioinformatics, Institute of Public Health and Environment, Graduate School of Public Health, Seoul National University) ;
  • Ahn, Insung (Biomedical Prediction Technology Laboratory, Convergence Technology Research Division, Korea Institute of Science and Technology Information)
  • 투고 : 2014.12.29
  • 심사 : 2015.07.22
  • 발행 : 2015.07.31
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초록

Objectives: This study was performed to investigate the relationship between the incidence of national notifiable infectious diseases (NNIDs) and meteorological factors, air pollution levels, and hospital resources in Korea. Methods: We collected and stored 660 000 pieces of publicly available data associated with infectious diseases from public data portals and the Diseases Web Statistics System of Korea. We analyzed correlations between the monthly incidence of these diseases and monthly average temperatures and monthly average relative humidity, as well as vaccination rates, number of hospitals, and number of hospital beds by district in Seoul. Results: Of the 34 NNIDs, malaria showed the most significant correlation with temperature (r=0.949, p<0.01) and concentration of nitrogen dioxide (r=-0.884, p<0.01). We also found a strong correlation between the incidence of NNIDs and the number of hospital beds in 25 districts in Seoul (r=0.606, p<0.01). In particular, Geumcheon-gu was found to have the lowest incidence rate of NNIDs and the highest number of hospital beds per patient. Conclusions: In this study, we conducted a correlational analysis of public data from Korean government portals that can be used as parameters to forecast the spread of outbreaks.

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참고문헌

  1. Morse SS. Factors in the emergence of infectious diseases. Emerg Infect Dis 1995;1(1):7-15. https://doi.org/10.3201/eid0101.950102
  2. World Health Organization. Ebola response roadmap situation report; 2014 [cited 2014 Nov 3]. Available from: http://www.who.int/csr/resources/publications/ebola/response-roadmap/en/.
  3. Xu L, Stige LC, Kausrud KL, Ben Ari T, Wang S, Fang X, et al. Wet climate and transportation routes accelerate spread of human plague. Proc Biol Sci 2014;281(1780):20133159. https://doi.org/10.1098/rspb.2013.3159
  4. Korea Centers for Disease Control and Prevention. Infectious disease surveillance yearbook, 2013. Cheongju: Korea Centers for Disease Control and Prevention; 2014, p. 19-32 (Korean).
  5. Ministry of Security and Public Administration. DATA.GO.KR [cited 2014 Nov 7]. Available from: https://www.data.go.kr/main.jsp#/L21haW4=(Korean).
  6. Zhang Y, Bi P, Hiller JE. Climate change and the transmission of vector-borne diseases: a review. Asia Pac J Public Health 2008;20(1):64-76. https://doi.org/10.1177/1010539507308385
  7. O'Neill MS, Hajat S, Zanobetti A, Ramirez-Aguilar M, Schwartz J. Impact of control for air pollution and respiratory epidemics on the estimated associations of temperature and daily mortality. Int J Biometeorol 2005;50(2):121-129. https://doi.org/10.1007/s00484-005-0269-z
  8. Atkins C, Meltzer MI. Community Flu 2.0; 2012 [cited 2014 Nov 7]. Available from: http://www.cdc.gov/flu/pandemic-resources/tools/communityflu.htm.
  9. Zhang X, Meltzer MI, Wortley PM. FluSurge--a tool to estimate demand for hospital services during the next pandemic influenza. Med Decis Making 2006;26(6):617-623. https://doi.org/10.1177/0272989X06295359
  10. Centers for Disease Control and Prevention. FluAid 2.0; 2000 [cited 2014 Nov 7]. Available from: http://www.cdc.gov/flu/pandemic-resources/tools/fluaid.htm.
  11. Chae SM, Kim DJ, Yoon SJ, Shin HS. The impact of temperature rise and regional factors on malaria risk. Health Soc Welfare Rev 2014;34(1):436-455 (Korean). https://doi.org/10.15709/hswr.2014.34.1.436
  12. Lee BJ, Kim B, Lee K. Air pollution exposure and cardiovascular disease. Toxicol Res 2014;30(2):71-75. https://doi.org/10.5487/TR.2014.30.2.071
  13. Hunter PR. Climate change and waterborne and vector-borne disease. J Appl Microbiol 2003;94 Suppl:37S-46S. https://doi.org/10.1046/j.1365-2672.94.s1.5.x
  14. Dewan AM, Corner R, Hashizume M, Ongee ET. Typhoid Fever and its association with environmental factors in the Dhaka Metropolitan Area of Bangladesh: a spatial and time-series approach. PLoS Negl Trop Dis 2013;7(1):e1998. https://doi.org/10.1371/journal.pntd.0001998

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  3. Research Trends in Agenda-setting for Climate Change Adaptation Policy in the Public Health Sector in Korea vol.53, pp.1, 2015, https://doi.org/10.3961/jpmph.19.326
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