tetano
Editor, Senior Moderator
Environ Sci Pollut Res Int
. 2022 Apr 5.
doi: 10.1007/s11356-022-20070-y. Online ahead of print.
Effects of climatic factors on the prevalence of influenza virus infection in Cheonan, Korea
Dong Kyu Lim[SUP] 1 [/SUP], Jong Wan Kim[SUP] 2 [/SUP], Jae Kyung Kim[SUP] 3 [/SUP]
Affiliations
Abstract
Big data can be used to correlate diseases and climatic factors. The prevalence of influenza (flu) virus, accounting for a large proportion of respiratory infections, suggests that the effect of climate variables according to seasonal dynamics of influenza virus infections should be investigated. Here, trends in flu virus detection were analyzed using data from 9,010 tests performed between January 2012 and December 2018 at Dankook University Hospital, Cheonan, Korea. We compared the detection of the flu virus in Cheonan area and its association with climate change. The flu virus detection rate was 9.9% (894/9,010), and the detection rate was higher for flu virus A (FLUAV; 6.9%) than for flu virus B (FLUBV; 3.0%). Both FLUAV and FLUBV infections are considered an epidemic each year. We identified 43.1% (n = 385) and 35.0% (n = 313) infections in children aged < 10 years and adults aged > 60 years, respectively. The combination of these age groups encompassed 78.1% (n = 698/894) of the total data. Flu virus infections correlated with air temperature, relative humidity, vapor pressure, atmospheric pressure, particulate matter, and wind chill temperature (P < 0.001). However, the daily temperature range did not significantly correlate with the flu detection results. This is the first study to identify the relationship between long-term flu virus infection with temperature in the temperate region of Cheonan.
Keywords: Climate; Flu virus; Meteorology; Respiratory infection; Seasonal epidemiology; Temperate region.
. 2022 Apr 5.
doi: 10.1007/s11356-022-20070-y. Online ahead of print.
Effects of climatic factors on the prevalence of influenza virus infection in Cheonan, Korea
Dong Kyu Lim[SUP] 1 [/SUP], Jong Wan Kim[SUP] 2 [/SUP], Jae Kyung Kim[SUP] 3 [/SUP]
Affiliations
- PMID: 35381925
- DOI: 10.1007/s11356-022-20070-y
Abstract
Big data can be used to correlate diseases and climatic factors. The prevalence of influenza (flu) virus, accounting for a large proportion of respiratory infections, suggests that the effect of climate variables according to seasonal dynamics of influenza virus infections should be investigated. Here, trends in flu virus detection were analyzed using data from 9,010 tests performed between January 2012 and December 2018 at Dankook University Hospital, Cheonan, Korea. We compared the detection of the flu virus in Cheonan area and its association with climate change. The flu virus detection rate was 9.9% (894/9,010), and the detection rate was higher for flu virus A (FLUAV; 6.9%) than for flu virus B (FLUBV; 3.0%). Both FLUAV and FLUBV infections are considered an epidemic each year. We identified 43.1% (n = 385) and 35.0% (n = 313) infections in children aged < 10 years and adults aged > 60 years, respectively. The combination of these age groups encompassed 78.1% (n = 698/894) of the total data. Flu virus infections correlated with air temperature, relative humidity, vapor pressure, atmospheric pressure, particulate matter, and wind chill temperature (P < 0.001). However, the daily temperature range did not significantly correlate with the flu detection results. This is the first study to identify the relationship between long-term flu virus infection with temperature in the temperate region of Cheonan.
Keywords: Climate; Flu virus; Meteorology; Respiratory infection; Seasonal epidemiology; Temperate region.