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Original Article
- Correlations Between the Incidence of National Notifiable Infectious Diseases and Public Open Data, Including Meteorological Factors and Medical Facility Resources
- Jin-Hwa Jang, Ji-Hae Lee, Mi-Kyung Je, Myeong-Ji Cho, Young Mee Bae, Hyeon Seok Son, Insung Ahn
- J Prev Med Public Health. 2015;48(4):203-215. Published online July 27, 2015
- DOI: https://doi.org/10.3961/jpmph.14.057
- 9,913 View
- 131 Download
- 6 Crossref
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Abstract
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Supplementary Material - 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. -
Summary
Citations
Citations to this article as recorded by
- Whether Urbanization Has Intensified the Spread of Infectious Diseases—Renewed Question by the COVID-19 Pandemic
Dongsheng Yu, Xiaoping Li, Juanjuan Yu, Xunpeng Shi, Pei Liu, Pu Tian
Frontiers in Public Health.2021;[Epub] CrossRef - Research Trends in Agenda-setting for Climate Change Adaptation Policy in the Public Health Sector in Korea
Su-Mi Chae, Daeeun Kim
Journal of Preventive Medicine and Public Health.2020; 53(1): 3. CrossRef - Current State of Research on the Risk of Morbidity and Mortality Associated with Air Pollution in Korea
Sanghyuk Bae, Ho-jang Kwon
Yonsei Medical Journal.2019; 60(3): 243. CrossRef - Climate and air pollution alter incidence of tuberculosis in Beijing, China
Chun Yan Zhang, Ang Zhang
Annals of Epidemiology.2019; 37: 71. CrossRef - Mathematical Modeling for Scrub Typhus and Its Implications for Disease Control
Kyung-Duk Min, Sung-il Cho
Journal of Korean Medical Science.2018;[Epub] CrossRef - Is short-term exposure to ambient fine particles associated with measles incidence in China? A multi-city study
Gongbo Chen, Wenyi Zhang, Shanshan Li, Gail Williams, Chao Liu, Geoffrey G. Morgan, Jouni J.K. Jaakkola, Yuming Guo
Environmental Research.2017; 156: 306. CrossRef
English Abstract- The Current Trend of Avian Influenza Viruses in Bioinformatics Research.
- Insung Ahn, Hyeon S Son
- J Prev Med Public Health. 2007;40(2):185-190.
- DOI: https://doi.org/10.3961/jpmph.2007.40.2.185
- 3,548 View
- 46 Download
- 1 Crossref
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Abstract
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- OBJECTIVES
Since the first human infection from avian influenza was reported in Hong Kong in 1997, many Asian countries have confirmed outbreaks of highly pathogenic H5N1 avian influenza viruses. In addition to Asian countries, the EU authorities also held an urgent meeting in February 2006 at which it was agreed that Europe could also become the next target for H5N1 avian influenza in the near future. In this paper, we provide the general and applicable information on the avian influenza in the bioinformatics field to assist future studies in preventive medicine. METHODS: We introduced some up-to-date analytical tools in bioinformatics research, and discussed the current trends of avian influenza outbreaks. Among the bioinformatics methods, we focused our interests on two topics: attern analysis using the secondary database of avian influenza, and structural analysis using the molecular dynamics simulations in vaccine design. RESULTS: Use of the public genome databases available in the bioinformatics field enabled intensive analysis of the genetic patterns. Moreover, molecular dynamic simulations have also undergone remarkable development on the basis of the high performance supercomputing infrastructure these days. CONCLUSIONS: The bioinformatics techniques we introduced in this study may be useful in preventive medicine, especially in vaccine and drug discovery. -
Summary
Citations
Citations to this article as recorded by- Identification of novel conserved functional motifs across most Influenza A viral strains
Mahmoud ElHefnawi, Osama AlAidi, Nafisa Mohamed, Mona Kamar, Iman El-Azab, Suher Zada, Rania Siam
Virology Journal.2011;[Epub] CrossRef
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