PDF(Pubmed)
Abstract：
The Brazilian Amazon, a vital tropical region, faces escalating threats from human activities, agriculture, and climate change. This study aims to assess the relationship between forest fire occurrences, meteorological factors, and hospitalizations due to respiratory diseases in the Legal Amazon region from 2009 to 2019. Employing simultaneous equation models with official data, we examined the association between deforestation-induced fires and respiratory health issues. Over the studied period, the Legal Amazon region recorded a staggering 1,438,322 wildfires, with 1,218,606 (85%) occurring during August-December, known as the forest fire season. During the forest fire season, a substantial portion (566,707) of the total 1,532,228 hospital admissions for respiratory diseases were recorded in individuals aged 0-14 years and 60 years and above. A model consisting of two sets of simultaneous equations was constructed. This model illustrates the seasonal fluctuations in meteorological conditions driving human activities associated with increased forest fires. It also represents how air quality variations impact the occurrence of respiratory diseases during forest fires. This modeling approach unveiled that drier conditions, elevated temperatures, and reduced precipitation exacerbate fire incidents, impacting hospital admissions for respiratory diseases at a rate as high as 22 hospital admissions per 1000 forest fire events during the forest fire season in the Legal Amazon, 2009-2019. This research highlights the urgent need for environmental and health policies to mitigate the effects of Amazon rainforest wildfires, stressing the interplay of deforestation, climate change, and human-induced fires on respiratory health.
摘要：
巴西亚马逊，一个重要的热带地区，面对人类活动不断升级的威胁，农业,和气候变化。本研究旨在评估森林火灾发生之间的关系，气象因素,2009年至2019年，亚马逊法律地区因呼吸系统疾病而住院。使用带有官方数据的联立方程模型，我们研究了森林砍伐引起的火灾与呼吸健康问题之间的关联。在研究期间，合法亚马逊地区记录了惊人的1,438,322场野火，1,218,606（85%）发生在8月至12月，被称为森林火灾季节。在森林火灾季节，在1,532,228例呼吸系统疾病住院人数中，有很大一部分（566,707）是0-14岁和60岁及以上的个人。构造了由两组联立方程组组成的模型。该模型说明了气象条件的季节性波动，驱动与森林火灾增加相关的人类活动。它还代表了空气质量变化如何影响森林火灾期间呼吸道疾病的发生。这种建模方法揭示了更干燥的条件，升高的温度,降水减少加剧了火灾事故，在合法亚马逊地区的森林火灾季节，每1000次森林火灾事件中，呼吸道疾病的住院率高达22次。2009-2019年。这项研究强调了迫切需要环境和健康政策来减轻亚马逊雨林野火的影响。强调森林砍伐的相互作用，气候变化,以及人为火灾对呼吸道健康的影响。
