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Original Article
Modeling for Estimating Influenza Patients from ILI Surveillance Data in Korea
Joo-Sun Lee, Sun-Hee Park, Jin-Woong Moon, Jacob Lee, Yong Gyu Park, Yong Kyun Roh
Osong Public Health Res Perspect. 2011;2(2):89-93.   Published online June 30, 2011
DOI: https://doi.org/10.1016/j.phrp.2011.08.001
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  • 7 Crossref
AbstractAbstract PDF
Objective Prediction of influenza incidence among outpatients from an influenza surveillance system is important for public influenza strategy.
Methods
We developed two influenza prediction models through influenza surveillance data of the Korea Centers for Disease Control and Prevention (each year, each province and metropolitan city; total reported patients with influenza-like illness stratified by age) for 6 years from 2005 to 2010 and disease-specific data (influenza code J09-J11, monthly number of influenza patients, total number of outpatients and hospital visits) from the Health Insurance Review and Assessment service.
Results
Incidence of influenza in each area, year, and month was estimated from our prediction models, which were validated by simulation processes. For example, in November 2009, Seoul and Joenbuk, the final number of influenza patients calculated by prediction models A and B underestimated actual reported cases by 64 and 833 patients, respectively, in Seoul and 6 and 9 patients, respectively, in Joenbuk. R-square demonstrated that prediction model A was more suitable than model B for estimating the number of influenza patients.
Conclusion
Our prediction models from the influenza surveillance system could estimate the nationwide incidence of influenza. This prediction will provide important basic data for national quarantine activities and distributing medical resources in future pandemics.

Citations

Citations to this article as recorded by  
  • Assessment of Intensive Vaccination and Antiviral Treatment in 2009 Influenza Pandemic in Korea
    Chaeshin Chu, Sunmi Lee
    Osong Public Health and Research Perspectives.2015; 6(1): 47.     CrossRef
  • Doing Mathematics with Aftermath of Pandemic Influenza 2009
    Hae-Wol Cho, Chaeshin Chu
    Osong Public Health and Research Perspectives.2015; 6(1): 1.     CrossRef
  • Antiviral treatment of influenza in South Korea
    Young June Choe, Hyunju Lee, Hoan Jong Lee, Eun Hwa Choi
    Expert Review of Anti-infective Therapy.2015; 13(6): 741.     CrossRef
  • 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.     CrossRef
  • How to Manage a Public Health Crisis and Bioterrorism in Korea
    Hae-Wol Cho, Chaeshin Chu
    Osong Public Health and Research Perspectives.2013; 4(5): 223.     CrossRef
  • Was the Mass Vaccination Effective During the Influenza Pandemic 2009–2010 in Korea?
    Hae-Wol Cho, Chaeshin Chu
    Osong Public Health and Research Perspectives.2013; 4(4): 177.     CrossRef
  • A Tale of Two Fields: Mathematical and Statistical Modeling of Infectious Diseases
    Hae-Wol Cho, Chaeshin Chu
    Osong Public Health and Research Perspectives.2011; 2(2): 73.     CrossRef

PHRP : Osong Public Health and Research Perspectives