Anupong Suparinthon, Modchang Charin, Chadsuthi Sudarat
Department of Chemistry, Mahidol Wittayanusorn School (MWIT), Salaya, Nakhon Pathom, 73170, Thailand.
Biophysics Group, Department of Physics, Faculty of Science, Mahidol University, Bangkok, 10400, Thailand.
Heliyon. 2024 Aug 22;10(17):e36703. doi: 10.1016/j.heliyon.2024.e36703. eCollection 2024 Sep 15.
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, O 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.
流感是一种急性呼吸道疾病,仍然是一项重大的公共卫生挑战,在全球范围内造成了大量发病和死亡。其季节性流行在气候不同的地区呈现出多样性。本研究旨在探讨泰国六个地区流感的季节性模式及其与气象和空气污染因素的相关性。我们使用小波分析对2009年至2019年的月平均温度、相对湿度、降水量、PM10、NO、O浓度以及流感发病率数据进行了分析。我们的研究结果显示,在整个研究期间,流感的两年一次流行模式并不一致。2010 - 2012年期间,所有地区都出现了两年一次的模式,但在2013 - 2016年期间消失了。然而,2016年之后,两年一次的周期再次出现,除南部地区外,大多数地区在雨季和冬季出现高峰。小波相干分析表明,在2010 - 2012年和2016 - 2018年期间,相对湿度可能是北部、东北部、中部、曼谷大都市和东部地区一年内流感发病率的主要影响因素,而在南部地区并非如此。同样,降水量可以推动东北部、中部、曼谷大都市和东部地区同期的流感发病率。在某些年份,PM10浓度可以影响泰国东北部、中部、曼谷大都市和东部地区半年内的流感发病率。这些结果增进了我们对过去11年中受天气条件和空气污染影响的流感季节性时间动态的理解。这些知识对于临床环境中的资源分配以及为公共卫生战略提供信息非常宝贵,特别是在应对泰国复杂的气候情况时。