Estimating influenza-associated mortality in Korea: The 2009-2016 seasons

Citations

SCOPUS

20

초록

Objectives: Estimating influenza-associated mortality is important since seasonal influenza affects persons of all ages, causing severe illness or death. This study aimed to estimate influenza-associated mortality, considering both periodic changes and age-specific mortality by influenza subtypes. Methods: Using the Microdata Integrated Service from Statistics Korea, we collected weekly mortality data including cause of death. Laboratory surveillance data of respiratory viruses from 2009 to 2016 were obtained from the Korea Centers for Disease Control and Prevention. After adjusting for the annual age-specific population size, we used a negative binomial regression model by age group and influenza subtype. Results: Overall, 1 859 890 deaths were observed and the average rate of influenza virus positivity was 14.7% (standard deviation [SD], 5.8), with the following subtype distribution: A(H1N1), 5.0% (SD, 5.8); A(H3N2), 4.4% (SD, 3.4); and B, 5.3% (SD, 3.7). As a result, among individuals under 65 years old, 6774 (0.51%) all-cause deaths, 2521 (3.05%) respiratory or circulatory deaths, and 1048 (18.23%) influenza or pneumonia deaths were estimated. Among those 65 years of age or older, 30 414 (2.27%) all-cause deaths, 16 411 (3.42%) respiratory or circulatory deaths, and 4906 (6.87%) influenza or pneumonia deaths were estimated. Influenza A(H3N2) virus was the major contributor to influenza-associated all-cause and respiratory or circulatory deaths in both age groups. However, influenza A(H1N1) virus-associated influenza or pneumonia deaths were more common in those under 65 years old. Conclusions: Influenza-associated mortality was substantial during this period, especially in the elderly. By subtype, influenza A(H3N2) virus made the largest contribution to influenza-associated mortality. © 2019 The Korean Society for Preventive Medicine.

키워드

Aged; Cost of illness; Influenza; Korea; Mortality; middle aged; mortality; physiology; season; statistical model; virology; Adult; Age Factors; Aged; Cause of Death; Female; Humans; Influenza A Virus, H1N1 Subtype; Influenza A Virus, H3N2 Subtype; Influenza, Human; Male; Middle Aged; Models, Statistical; Seasons; adult; age distribution; age specific mortality; aged; all cause mortality; Article; cardiovascular disease; cause of death; controlled study; disease burden; disease severity; human; Influenza A virus (H1N1); Influenza A virus (H3N2); Influenza B virus; Korea; major clinical study; mortality; mortality rate; nonhuman; pneumonia; population size; positivity rate; seasonal influenza; seasonal variation; statistical parameters; strain difference; age; female; influenza; male
제목
Estimating influenza-associated mortality in Korea: The 2009-2016 seasons
저자
Hong, K.; Sohn, S.; Chun, B.C.
DOI
10.3961/jpmph.19.156
발행일
2019
유형
Article
저널명
예방의학회지
권
52
호
5
페이지
308 ~ 315