tetano
Editor, Senior Moderator
Heliyon
. 2024 Aug 22;10(17):e36703.
doi: 10.1016/j.heliyon.2024.e36703. eCollection 2024 Sep 15. Seasonal patterns of influenza incidence and the influence of meteorological and air pollution factors in Thailand during 2009-2019
Suparinthon Anupong[SUP] 1 [/SUP], Charin Modchang[SUP] 2 3 4 [/SUP], Sudarat Chadsuthi[SUP] 5 [/SUP]
Affiliations
Influenza, an acute respiratory illness, remains a significant public health challenge, contributing substantially to morbidity and mortality worldwide. Its seasonal prevalence exhibits diversity across regions with distinct climates. This study aimed to explore the seasonal patterns of influenza and their correlation with meteorological and air pollution factors across six regions of Thailand. We conducted an analysis of monthly average temperature, relative humidity, precipitation, PM10, NO[SUB]2[/SUB], O[SUB]3[/SUB] concentrations, and influenza incidence data from 2009 to 2019 using wavelet analysis. Our findings reveal inconsistent biannual influenza prevalence patterns throughout the study period. The biannual pattern emerged during 2010-2012 across all regions but disappeared during 2013-2016. However, post-2016, the biannual cycles resurfaced, with peaks occurring during the rainy and winter seasons in most regions, except for the southern region. Wavelet coherence reveals that relative humidity can be the main influencing factor for influenza incidence over a one-year period in the northern, northeastern, central, Bangkok-metropolitan, and eastern regions, not in the southern region during 2010-2012 and 2016-2018. Similarly, precipitation can drive the influenza incidence at the same period for the northeastern, central, Bangkok-metropolitan, and eastern regions. PM10 concentration can influence influenza incidence over a half-year period in the northeastern, central, Bangkok-metropolitan, and eastern regions of Thailand during certain years. These results enhance our understanding of the temporal dynamics of influenza seasonality influenced by weather conditions and air pollution over the past 11 years. Such knowledge is invaluable for resource allocation in clinical settings and informing public health strategies, particularly in navigating Thailand's climatic complexities.
Keywords: Air pollution; Influenza; Seasonality; Wavelet analysis; Weather.
. 2024 Aug 22;10(17):e36703.
doi: 10.1016/j.heliyon.2024.e36703. eCollection 2024 Sep 15. Seasonal patterns of influenza incidence and the influence of meteorological and air pollution factors in Thailand during 2009-2019
Suparinthon Anupong[SUP] 1 [/SUP], Charin Modchang[SUP] 2 3 4 [/SUP], Sudarat Chadsuthi[SUP] 5 [/SUP]
Affiliations
- PMID: 39263141
- PMCID: PMC11388739
- DOI: 10.1016/j.heliyon.2024.e36703
Influenza, an acute respiratory illness, remains a significant public health challenge, contributing substantially to morbidity and mortality worldwide. Its seasonal prevalence exhibits diversity across regions with distinct climates. This study aimed to explore the seasonal patterns of influenza and their correlation with meteorological and air pollution factors across six regions of Thailand. We conducted an analysis of monthly average temperature, relative humidity, precipitation, PM10, NO[SUB]2[/SUB], O[SUB]3[/SUB] concentrations, and influenza incidence data from 2009 to 2019 using wavelet analysis. Our findings reveal inconsistent biannual influenza prevalence patterns throughout the study period. The biannual pattern emerged during 2010-2012 across all regions but disappeared during 2013-2016. However, post-2016, the biannual cycles resurfaced, with peaks occurring during the rainy and winter seasons in most regions, except for the southern region. Wavelet coherence reveals that relative humidity can be the main influencing factor for influenza incidence over a one-year period in the northern, northeastern, central, Bangkok-metropolitan, and eastern regions, not in the southern region during 2010-2012 and 2016-2018. Similarly, precipitation can drive the influenza incidence at the same period for the northeastern, central, Bangkok-metropolitan, and eastern regions. PM10 concentration can influence influenza incidence over a half-year period in the northeastern, central, Bangkok-metropolitan, and eastern regions of Thailand during certain years. These results enhance our understanding of the temporal dynamics of influenza seasonality influenced by weather conditions and air pollution over the past 11 years. Such knowledge is invaluable for resource allocation in clinical settings and informing public health strategies, particularly in navigating Thailand's climatic complexities.
Keywords: Air pollution; Influenza; Seasonality; Wavelet analysis; Weather.