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2010年至2019年东非因家庭空气污染导致的死亡人数及其相关因素的贝叶斯广义泊松回归分析以及到2030年的预测。

Bayesian generalized poisson regression analysis of number of death attributed to household air pollution and associate factors in East Africa from 2010 to 2019 and projection up to 2030.

作者信息

Endawkie Abel, Asmamaw Desale B, Keleb Awoke, Tsega Yawkal

机构信息

Department of Epidemiology and Biostatistics, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.

Department of Reproductive Health Colleges of Medicine and Health Sciences, Institute of Public Health, University of Gondar, Gondar, Ethiopia.

出版信息

Sci Rep. 2025 Jul 1;15(1):21835. doi: 10.1038/s41598-025-08063-6.

Abstract

Household air pollution, primarily resulting from the use of solid fuels like wood, coal, and kerosene, presents a major public health challenge in East Africa. This contributes to elevated levels of household air pollutants, which are linked to increased morbidity and mortality rates, particularly from respiratory and cardiovascular diseases. However, the evidence of household air attributed number of death and its associated factor is limited in east Africa. Therefore this study investigated the trend of death attributed to household air pollution and associate factors in East Africa from 2010 to 2019 and projection up to 2030. This study analyzed mortality attributed to household air pollution in East Africa from 2010 to 2019 using data from the World Health Organization (WHO) Global Health Estimates. Bayesian generalized Poisson regression and autoregressive integrated moving average (ARIMA) modeling were employed to examine the associated factors and project future mortality rates up to 2030 respectively. The analysis highlighted substantial disparities in mortality rates linked to household air pollution. In 2019, these rates peaked at around 134,709 deaths. Projections indicate that, if current trends persist, East Africa may experience approximately 134,709 premature deaths each year. Acute lower respiratory infections accounted for around 21% of these deaths, while chronic obstructive pulmonary disease was responsible for about 19%. The analysis identified significant disparities in mortality rates based on sex, geographic location, underlying health conditions and year. This study highlights the significant burden of mortality attributed to household air pollution from 2010 to 2019 with a concerning upward trend in deaths, particularly from 2014 to 2019 with disproportionately affect vulnerable populations. The projections indicate that the mortality burden may continue if current trend continuous. The disparities observed across different countries, clinical condition, and sex groups emphasize the need for targeted public health interventions that address the specific risks associated with household air pollution. In the future longitudinal studies and comprehensive analysis of determinants of mortality associated with household air pollution in East Africa is essential.

摘要

家庭空气污染主要源于使用木材、煤炭和煤油等固体燃料,这给东非的公共卫生带来了重大挑战。这导致家庭空气污染物水平升高,与发病率和死亡率上升有关,尤其是呼吸道和心血管疾病。然而,在东非,家庭空气污染导致的死亡人数及其相关因素的证据有限。因此,本研究调查了2010年至2019年东非家庭空气污染导致的死亡趋势及其相关因素,并预测了到2030年的情况。本研究利用世界卫生组织(WHO)全球卫生估计数据,分析了2010年至2019年东非家庭空气污染导致的死亡率。分别采用贝叶斯广义泊松回归和自回归积分移动平均(ARIMA)模型来检验相关因素并预测到2030年的未来死亡率。分析突出了与家庭空气污染相关的死亡率存在的巨大差异。2019年,这些死亡率达到峰值,约为134,709例死亡。预测表明,如果当前趋势持续下去,东非每年可能会有大约134,709例过早死亡。急性下呼吸道感染约占这些死亡人数的21%,而慢性阻塞性肺疾病约占19%。分析确定了基于性别、地理位置、潜在健康状况和年份的死亡率存在显著差异。本研究强调了2010年至2019年家庭空气污染导致的死亡负担沉重,死亡人数呈令人担忧的上升趋势,特别是2014年至2019年,对弱势群体的影响尤为严重。预测表明,如果当前趋势持续,死亡负担可能会继续。在不同国家、临床状况和性别群体中观察到的差异强调了有针对性的公共卫生干预措施的必要性,这些措施应解决与家庭空气污染相关的具体风险。未来,对东非家庭空气污染相关死亡率的决定因素进行纵向研究和全面分析至关重要。

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