Department of Pulmonary, Critical Care, and Sleep Medicine, All India Institute of Medical Sciences, New Delhi; Department of Pulmonary Medicine, Army Institute of Cardiothoracic Sciences, Pune.
Department of Pulmonary, Critical Care, and Sleep Medicine, All India Institute of Medical Sciences, New Delhi.
Monaldi Arch Chest Dis. 2023 Jun 15;94(2). doi: 10.4081/monaldi.2023.2537.
The COVID-19 pandemic has affected the world, leading to significant morbidity and mortality. Various meteorological parameters are considered essential for the viability and transmission of the virus. Multiple reports from various parts of the world suggest a correlation between the disease spread and air pollution severity. This study was carried out to identify the relationship between meteorological parameters, air pollution, and COVID-19 in New Delhi, one of the worst-affected states in India. We studied air pollution and meteorological parameters in New Delhi, India. We obtained data about COVID-19 occurrence, meteorological parameters, and air pollution indicators from various sources from April 1, 2020, until November 12, 2020. We performed correlational analysis and employed autoregressive distributed lag models to identify the relationship between COVID-19 cases, air pollution and meteorological parameters. We found a significant impact of particulate matter (PM) 2.5, PM10, and meteorological parameters on COVID-19. There was a significant positive correlation between daily COVID-19 cases and COVID-19-related deaths with PM2.5 and PM10 levels. Increasing temperature and wind speed were associated with a reduction in the number of cases, while increasing humidity was associated with increased cases. This study demonstrated a significant association between PM2.5 and PM10 and daily COVID-19 cases and COVID-19-related mortality. This knowledge will likely help us prepare well for the future and implement air pollution control measures for other airborne disease epidemics.
新型冠状病毒肺炎（COVID-19）大流行已影响全球，导致大量发病和死亡。各种气象参数被认为对病毒的存活和传播至关重要。世界各地的多项报告表明，疾病传播与空气污染严重程度之间存在相关性。本研究旨在确定印度新德里（受 COVID-19 影响最严重的邦之一）的气象参数、空气污染与 COVID-19 之间的关系。
我们研究了印度新德里的空气污染和气象参数。我们从 2020 年 4 月 1 日至 2020 年 11 月 12 日从多个来源获取了关于 COVID-19 发生、气象参数和空气污染指标的数据。我们进行了相关性分析，并采用自回归分布滞后模型来确定 COVID-19 病例、空气污染和气象参数之间的关系。
我们发现，颗粒物（PM）2.5、PM10 和气象参数对 COVID-19 有显著影响。每日 COVID-19 病例和 COVID-19 相关死亡与 PM2.5 和 PM10 水平呈显著正相关。温度和风速升高与病例数减少相关，而湿度升高与病例数增加相关。
本研究表明，PM2.5 和 PM10 与每日 COVID-19 病例和 COVID-19 相关死亡率之间存在显著关联。这一知识将有助于我们为未来做好准备，并为其他空气传播疾病的流行实施空气污染控制措施。
