Modeling for Estimating Influenza Patients from ILI Surveillance Data in Korea

Osong Public Health and Research Perspectives

Volumn 2, Issue 2, 2011, Pages 89-93

  Lee, Joo Sun ^a   Park, Sun Hee ^a   Moon, Jin Woong ^a   Lee, Jacob ^b   Park, Yong Gyu ^c   Roh, Yong Kyun ^b  

^a Korea Centers for Disease Control and Prevention   (South Korea)

^b Hallym University   (South Korea)

^c The Catholic University of Korea   (South Korea)

Author keywords

Influenza patients; Influenza surveillance system; Korea; Prediction model

Indexed keywords

ARTICLE; CONTROLLED STUDY; DISEASE CONTROL; FLU LIKE SYNDROME; HEALTH INSURANCE; HEALTH SURVEY; HUMAN; INCIDENCE; INFLUENZA; INFLUENZA VIRUS; KOREA; MAJOR CLINICAL STUDY; PANDEMIC; PRIORITY JOURNAL; PROPHYLAXIS; RURAL AREA; URBAN AREA;

EID: 80053593158     PISSN: 22109099     EISSN: 22109110     Source Type: Journal    
DOI: 10.1016/j.phrp.2011.08.001     Document Type: Article

References (15)

1. Influenza (seasonal) 2009, World Health Organizations (WHO), Available from:, [accessed January 2009]. http://www.who.int/demiacentre/factsheets/fs11/en/.
2. Lee J.S., Shin K.C., Na B.K., et al. Influenza surveillance in Korea: establishment and first results of an epidemiological and virological surveillance scheme. Epidemiol Infect 2007 Oct, 135(7):1117-1123.
3. Kim J.H., Yoo H.S., Lee J.S., et al. The spread of pandemic H1N1 2009 by age and region and the comparison among monitoring tools. J Korean Med Sci 2010 Jul, 25(7):1109-1112.
4. Flemming D.M., Elliot A.J. Lessons from 40 years' surveillance of influenza in England and Wales. Epidemiol Infect 2008 Jul, 136(7):866-875.
5. CDC. Interim pre-pandemic planning guidance: community strategy for pandemic influenza mitigation in the United States. [monograph on the Internet]. Atlanta: Centers for Disease Control and Prevention. Available at: ; 2007 [Date accessed: 11 December 2010]. http://www.flu.gov/professional/community/community_mitigation.pdf.
6. The ANZIC influenza investigators Critical care services and 2009 H1N1 influenza in Australia and New Zealand. N Engl J Med 2009, 361(20):1925-1934.
7. Montgomery D.C., Peck E.A. Introduction to linear regression analysis 1982, John Wiley & Sons, New York, p. 181-211.
8. Draper N.R., Smith H. Applied regression analysis 1998, John Wiley & Sons, New York, p. 251-271.
9. Belsley D.A., Kuh E., Welsch R.E. Regression diagnostics 1980, John Wiley & Sons, New York, p. 152-173.
10. Box G.P., Jenkins G.M. Time series analysis 1970, Holden-Day, San Francisco, p. 46-166.
11. Montgomery D.C., Johnson L.A. Forecasting and time series analysis 1976, McGraw-Hill Company, New York, p. 75-95.
12. Cook R.D., Weisberg S. Residuals and influence in regression 1982, Chapman and Hall, New York, p. 101-112.
13. Balcan D., Colizza V., Singer A.C., et al. Modeling the critical care demand and antibiotics resources needed during the Fall 2009 wave of influenza A(H1N1) pandemic. PLoS Curr Influenza 2009, 7:1133-1145.
14. Colizza V., Barrat A., Barthelemy M., et al. Modeling the worldwide spread of pandemic influenza: baseline case and containment interventions. Plos medicine 2007, 4:95-110.
15. Ajelli M., Merler S., Pugliese A., et al. Model predictions and evaluation of possible control strategies for the 2009 A/H1N1v influenza pandemic in Italy. Epidemiol Infect 2011, 139:68-79.