TY - JOUR
T1 - Influenza-Associated Excess Mortality in South Korea
AU - Park, Minah
AU - Wu, Peng
AU - Goldstein, Edward
AU - Joo Kim, Woo
AU - Cowling, Benjamin J.
N1 - Funding Information:
This project was supported by the Harvard Center for Communicable Disease Dynamics from the National Institute of General Medical Sciences (grant number U54 GM088558); a commissioned grant from the Health and Medical Research Fund from the Government of the Hong Kong Special Administrative Region; and the Area of Excellence Scheme of the University Grants Committee of Hong Kong (grant number AoE/M-12/06). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Funding Information:
BJC has received research funding from MedImmune, Inc. and Sanofi Pasteur, and consults for Crucell N.V. No other financial disclosures were reported by the authors of this paper.
Funding Information:
This project was supported by the Harvard Center for Communicable Disease Dynamics from the National Institute of General Medical Sciences (grant number U54 GM088558); a commissioned grant from the Health and Medical Research Fund from the Government of the Hong Kong Special Administrative Region; and the Area of Excellence Scheme of the University Grants Committee of Hong Kong (grant number AoE/M-12/ 06). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Publisher Copyright:
© 2016 American Journal of Preventive Medicine.
PY - 2016/4/1
Y1 - 2016/4/1
N2 - Introduction It is important to determine the health impact of influenza in order to calibrate public health measures. The objective of this study was to estimate excess mortality associated with influenza in Korea in 2003-2013. Methods The authors constructed multiple linear regression models in 2014 with weekly mortality rates stratified by age, region, and cause of death against weekly surveillance data on influenza virus collected in 2003-2013. Excess mortality rates were estimated using the difference between predicted mortality rates from the fitted model versus predicted mortality rates with the influenza covariate for each strain set to 0. Results During the study period, influenza was associated with an average of 2,900 excess deaths per year. The impact of influenza on mortality was significantly higher in older people; the overall all-cause excess annual mortality rate per 100,000 people was 5.97 (95% CI=4.89, 7.19), whereas it was 46.98 (95% CI=36.40, 55.82) for adults aged ≥65 years. It also greatly varied from year to year, ranging from 2.04 in 2009-2010 to 18.76 in 2011-2012. Conclusions The impact of influenza on mortality in Korea is substantial, particularly among the elderly and the rural population. More-comprehensive studies may be needed to estimate the full impact of influenza.
AB - Introduction It is important to determine the health impact of influenza in order to calibrate public health measures. The objective of this study was to estimate excess mortality associated with influenza in Korea in 2003-2013. Methods The authors constructed multiple linear regression models in 2014 with weekly mortality rates stratified by age, region, and cause of death against weekly surveillance data on influenza virus collected in 2003-2013. Excess mortality rates were estimated using the difference between predicted mortality rates from the fitted model versus predicted mortality rates with the influenza covariate for each strain set to 0. Results During the study period, influenza was associated with an average of 2,900 excess deaths per year. The impact of influenza on mortality was significantly higher in older people; the overall all-cause excess annual mortality rate per 100,000 people was 5.97 (95% CI=4.89, 7.19), whereas it was 46.98 (95% CI=36.40, 55.82) for adults aged ≥65 years. It also greatly varied from year to year, ranging from 2.04 in 2009-2010 to 18.76 in 2011-2012. Conclusions The impact of influenza on mortality in Korea is substantial, particularly among the elderly and the rural population. More-comprehensive studies may be needed to estimate the full impact of influenza.
UR - http://www.scopus.com/inward/record.url?scp=84961162733&partnerID=8YFLogxK
U2 - 10.1016/j.amepre.2015.09.028
DO - 10.1016/j.amepre.2015.09.028
M3 - Article
C2 - 26610897
AN - SCOPUS:84961162733
SN - 0749-3797
VL - 50
SP - e111-e119
JO - American Journal of Preventive Medicine
JF - American Journal of Preventive Medicine
IS - 4
ER -
