探索环境空气污染与COVID-19风险之间的关联:使用元回归建模的综合元分析
Harry Asena Musonye1,2,3, Yi-Sheng He1,2,3, Merga Bayou Bekele1,2,3
1Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China.
Heliyon
|August 26, 2024
概括
空气污染,包括PM2.5和NO2,显著增加了冠状病毒疾病-2019 (COVID-19) 感染和死亡的风险. 这一元分析强调,迫切需要采取空气质量干预措施,以减轻COVID-19的影响.
科学领域:
- 环境健康科学 环境健康科学
- 流行病学 流行病学
- 公共卫生 公共卫生
背景情况:
- 新出现的证据表明,空气污染与2019年新冠肺炎疾病 (COVID-19) 的风险增加之间存在联系.
- 之前的研究已经产生了不一致的结果,需要进行全面的分析.
- 环境空气污染 (AAP) 是COVID-19的一个潜在的环境风险因素.
研究的目的:
- 调查环境空气污染 (AAP) 与COVID-19风险之间的关联.
- 量化各种空气污染物对COVID-19发病率和死亡率的影响.
- 使用元回归来探索影响AAP-COVID-19关系的因素.
主要方法:
- 在PubMed,科学网,Embase和谷歌学者的系统文献搜索,截至2023年3月31日.
- 包括58项采用时间序列,队列,生态或案例交叉设计的原始研究.
- 随机效应元分析以计算聚合风险比率 (RRs) 和95%置信区间 (CI),并进行偏差风险评估.
主要成果:
- 增加的COVID-19发病率与PM2.5,PM10,NO2,SO2,CO和O3度较高有关.
- 在空气污染物 (PM2.5,PM10,NO2,CO,O3) 和COVID-19死亡率之间发现了显著的关联.
- 超回归确定了空气污染-COVID-19发病率关联的显著预测因素,研究设计和暴露时间具有影响力.
结论:
- 这一元分析提供了强有力的证据,证明环境空气污染与COVID-19风险之间的积极关联.
- 研究结果强调了空气质量在管理COVID-19等传染病的公共卫生战略中的重要性.
- 虽然并未确定因果关系,地理重点有限,但结果为干预措施提供了宝贵的见解.
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