Climate factors influence seasonal influenza activity in Bangkok, Thailand

Yearly increase in influenza activity is associated with cold and dry winter in the temperate regions, while influenza patterns in tropical countries vary significantly by regional climates and geographic locations. To examine the association between influenza activity in Thailand and local climate...

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Veröffentlicht in:PloS one 2020-09, Vol.15 (9), p.e0239729
Hauptverfasser: Suntronwong, Nungruthai, Vichaiwattana, Preeyaporn, Klinfueng, Sirapa, Korkong, Sumeth, Thongmee, Thanunrat, Vongpunsawad, Sompong, Poovorawan, Yong
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container_start_page e0239729
container_title PloS one
container_volume 15
creator Suntronwong, Nungruthai
Vichaiwattana, Preeyaporn
Klinfueng, Sirapa
Korkong, Sumeth
Thongmee, Thanunrat
Vongpunsawad, Sompong
Poovorawan, Yong
description Yearly increase in influenza activity is associated with cold and dry winter in the temperate regions, while influenza patterns in tropical countries vary significantly by regional climates and geographic locations. To examine the association between influenza activity in Thailand and local climate factors including temperature, relative humidity, and rainfall, we analyzed the influenza surveillance data from January 2010 to December 2018 obtained from a large private hospital in Bangkok. We found that approximately one in five influenza-like illness samples (21.6% or 6,678/30,852) tested positive for influenza virus. Influenza virus typing showed that 34.2% were influenza A(H1N1)pdm09, 46.0% were influenza A(H3N2), and 19.8% were influenza B virus. There were two seasonal waves of increased influenza activity. Peak influenza A(H1N1)pdm09 activity occurred in February and again in August, while influenza A(H3N2) and influenza B viruses were primarily detected in August and September. Time series analysis suggests that increased relative humidity was significantly associated with increased influenza activity in Bangkok. Months with peak influenza activity generally followed the most humid months of the year. We performed the seasonal autoregressive integrated moving average (SARIMA) multivariate analysis of all influenza activity on the 2011 to 2017 data to predict the influenza activity for 2018. The resulting model closely resembled the actual observed overall influenza detected that year. Consequently, the ability to predict seasonal pattern of influenza in a large tropical city such as Bangkok may enable better public health planning and underscores the importance of annual influenza vaccination prior to the rainy season.
doi_str_mv 10.1371/journal.pone.0239729
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To examine the association between influenza activity in Thailand and local climate factors including temperature, relative humidity, and rainfall, we analyzed the influenza surveillance data from January 2010 to December 2018 obtained from a large private hospital in Bangkok. We found that approximately one in five influenza-like illness samples (21.6% or 6,678/30,852) tested positive for influenza virus. Influenza virus typing showed that 34.2% were influenza A(H1N1)pdm09, 46.0% were influenza A(H3N2), and 19.8% were influenza B virus. There were two seasonal waves of increased influenza activity. Peak influenza A(H1N1)pdm09 activity occurred in February and again in August, while influenza A(H3N2) and influenza B viruses were primarily detected in August and September. Time series analysis suggests that increased relative humidity was significantly associated with increased influenza activity in Bangkok. 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subjects Annual rainfall
Biology and life sciences
Cities
Climate
Correlation analysis
Distribution
Earth Sciences
Environmental aspects
Epidemics
Generalized linear models
Geographical locations
Health planning
Humans
Humidity
Incidence
Infections
Influenza
Influenza A
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title Climate factors influence seasonal influenza activity in Bangkok, Thailand
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