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HOME > Osong Public Health Res Perspect > Volume 4(3); 2013 > Article
Editorial
Years of Epidemics (2009–2011): Pandemic Influenza and Foot-and-Mouth Disease Epidemic in Korea
Hae-Wol Cho, Chaeshin Chu
Osong Public Health and Research Perspectives 2013;4(3):125-126.
DOI: https://doi.org/10.1016/j.phrp.2013.05.001
Published online: May 11, 2013
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Osong Public Health and Research Perspectives, Osong, Korea

College of Health Industry, Eulji University, Seongnam, Korea

College of Medicine, Eulji University, Daejeon, Korea

Osong Public Health and Research Perspectives, Osong, Korea

∗Corresponding author. hwcho@eulji.ac.kr
∗∗Corresponding author. cchu@cdc.go.kr

© 2013 Published by Elsevier B.V. on behalf of Korea Centers for Disease Control and Prevention.

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Between 2009 and 2011, Korea has witnessed two major epidemics, namely, the influenza A/H1N1 pandemic in 2009–2010 and the foot-and-mouth disease (FMD) epidemic in 2010–2011. Although these two epidemics are consecutive, the former was reported in human beings and the latter in animals.
Experts at the Korea Centers for Disease Control and Prevention (KCDC) have studied various mathematical and statistical models to predict the incidence of infectious diseases including vector-borne and chronic diseases [1–5]. In this regard, the KCDC has proposed a systematic and evidence-based preparedness and response plan against a possible pandemic influenza outbreak along with the estimated parameters [6]. It has also estimated the possible scale of infection based on the number of influenza-like illness in the reported cases [7].
In this issue, experts at the Animal Plant and Fisheries Quarantine and Inspection Agency in Korea have summarized the 2010–2011 foot-and-mouth epidemic in Korea. The authors have used the data on farm demography, the detection date of FMD, the clinical history for the manifestation of lesions, the presence of antibodies against the FMD virus (including antibodies against the structural and nonstructural proteins of serotype O), vaccination status, the number of reactors, and information on the slaughter of infected animals. They determined a cumulative detection probability of identification of an infected farm on a specific day, based on estimates of the most likely infection date. They summarized that the peak infection was observed between late December and early January, whereas peak detection occurred in mid-January. The early detection probability was highest for pigs, followed by cattle (dairy, then beef) and small ruminants. Approximately 90% of the infected pig farms were detected by day 11 postinfection, whereas 13 days were required for detecting infections in both dairy and beef cattle farms, and 21 days were necessary for detecting infections in small ruminant (goat and deer) farms. On average, 8.1 (standard deviation = 3.1) days passed since an infection outbreak before detecting the presence of FMD virus on a farm. The interval between infection and detection of FMD was inversely associated with the intensity of farming. The results of this study emphasize the importance of intensive clinical inspection, which is the quickest method of detecting FMD infection and minimizing the damage caused by an epidemic.[8].
These two epidemics have provided valuable data to adjust the existing models and the experts could be well prepared for the next possible epidemics in Korea.

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

  • 1. Chu C., Do Y., Kim Y., et al . Mathematical modeling of Vibrio vulnificus infection in Korea and the influence of global warming. Osong Public Health Res Perspect 2(1): 2011 Jun;51−58.ArticlePubMed
  • 2. Kee M.-K., Hwang D.Y., Lee J.K.. Estimation of HIV seroprevalence in colorectal hospitals by questionnaire survey in Korea, 2002–2007. Osong Public Health Res Perspect 2(2): 2011 Sep;104−108.ArticlePubMed
  • 3. Kim M.S., Chu C., Kim Y.. A note on obesity as epidemic in Korea. Osong Public Health Res Perspect 2(2): 2011 Sep;135−140.ArticlePubMed
  • 4. Kim B.N., Nah K., Chu C.. Optimal control strategy of Plasmodium vivax malaria transmission in Korea. Osong Public Health Res Perspect 3(3): 2012 Sep;128−136.ArticlePubMed
  • 5. Noh M., Lee Y., Oh S.. Spatial and temporal distribution of Plasmodium vivax malaria in Korea estimated with a hierarchical generalized linear model. Osong Public Health Res Perspect 3(4): 2012 Dec;192−198.ArticlePubMed
  • 6. Chu C., Lee J., Choi D.H.. Sensitivity analysis of the parameters of Korea's pandemic influenza preparedness plan. Osong Public Health Res Perspect 2(3): 2011 Dec;210−215.ArticlePubMed
  • 7. Lee J.-S., Park S.-H., Moon J.-W.. Modeling for estimating influenza patients from ILI surveillance data in Korea. Osong Public Health Res Perspect 2(2): 2011 Sep;89−93.Article
  • 8. Yoon H., Yoon S.-S., Kim H.. Estimation of the infection window for the 2010/2011 Korean foot-and-mouth disease outbreak. Osong Public Health Res Perspect 4(3): 2013 jun;127−132.ArticlePubMed

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    • Global Foot-and-Mouth Disease Research Update and Gap Analysis: 2 - Epidemiology, Wildlife and Economics
      T. J. D. Knight-Jones, L. Robinson, B. Charleston, L. L. Rodriguez, C. G. Gay, K. J. Sumption, W. Vosloo
      Transboundary and Emerging Diseases.2016; 63: 14.     CrossRef

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