Istituto per lo Studio dei Materiali Nanostrutturati sede Sapienza, Consiglio Nazionale delle Ricerche, P.le Aldo Moro 5, 00185 Rome, Italy.
Gipsa-lab, Grenoble Institute of Technology, 38031 Grenoble, France.
Int J Environ Res Public Health. 2021 Jan 29;18(3):1226. doi: 10.3390/ijerph18031226.
Recent works have demonstrated that particulate matter (PM) and specific meteorological conditions played an important role in the airborne transmission of the SARS-CoV-1 and MERS-CoV. These studies suggest that these parameters could influence the transmission of SARS-CoV-2. In the present investigation, we sought to investigate the association between air pollution, meteorological data, and the Lombardy region COVID-19 outbreak caused by SARS-CoV-2. We considered the number of detected infected people at the regional and provincial scale from February to March 2020. Air pollution data were collected over the Lombardy region, nominally, sulphur dioxide, ammonia, nitrogen dioxide, nitrogen monoxide, carbon monoxide, ozone, and suspended particulate matter measuring less than 10 μm (PM10) and less than 2.5 μm (PM2.5). Meteorological data have been collected over the same region for temperature, relative humidity, and wind speed. In this work, we evaluated the combined impact of environmental pollutants and climate conditions on the COVID-19 outbreak. The analysis evidenced a positive correlation between spatial distribution of COVID-19 infection cases with high concentrations of suspended particulate matter and a negative relationship with ozone. Moreover, suspended particulate matter concentration peaks in February correlated positively with infection peaks according to the virus incubation period. The obtained results suggested that seasonal weather conditions and concentration of air pollutants seemed to influence COVID-19 epidemics in Lombardy region.
最近的研究表明,颗粒物(PM)和特定的气象条件在 SARS-CoV-1 和 MERS-CoV 的空气传播中起着重要作用。这些研究表明,这些参数可能会影响 SARS-CoV-2 的传播。在本研究中,我们试图研究空气污染、气象数据与 2020 年 2 月至 3 月期间由 SARS-CoV-2 引起的伦巴第大区 COVID-19 爆发之间的关联。我们考虑了从区域和省级尺度检测到的感染者数量。空气污染数据是在伦巴第大区收集的,名义上是二氧化硫、氨、二氧化氮、一氧化氮、一氧化碳、臭氧和小于 10μm(PM10)和小于 2.5μm(PM2.5)的悬浮颗粒物。气象数据是在同一地区收集的,包括温度、相对湿度和风速。在这项工作中,我们评估了环境污染物和气候条件对 COVID-19 爆发的综合影响。分析表明,COVID-19 感染病例的空间分布与悬浮颗粒物浓度高呈正相关,与臭氧呈负相关。此外,根据病毒潜伏期,2 月悬浮颗粒物浓度峰值与感染峰值呈正相关。研究结果表明,季节性天气条件和空气污染物浓度似乎会影响伦巴第大区的 COVID-19 疫情。