Exploring the linkage between PM(2.5) levels and COVID-19 spread and its implications for socio-economic circles.
Exploring the linkage between PM(2.5) levels and COVID-19 spread and its implications for socio-economic circles.
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DOI：
10.1016/j.envres.2020.110421
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发表时间：
2021-03
影响因子：
8.3
通讯作者：
Khokhar MF
中科院分区：
文献类型：
--
作者：
Ali SM;Malik F;Anjum MS;Siddiqui GF;Anwar MN;Lam SS;Nizami AS;Khokhar MF
一种来源不明的类似肺炎的疾病在中国武汉市造成了一场灾难。这种疾病蔓延到215个国家，影响了广泛的人群。世界卫生组织（WHO）称其为大流行，正式命名为严重急性呼吸系统综合征冠状病毒2 (SARS CoV-2)，也称为冠状病毒病（COVID-19）。这场大流行迫使各国实施社会经济封锁，以防止其蔓延。本文重点研究了封锁期间（2020年3月23日至4月15日）与封锁前相比，颗粒物污染是如何减少的。地面和卫星观测都被用来确定巴基斯坦空气质量的改善，主要集中在拉合尔、伊斯兰堡、卡拉奇和白沙瓦四个主要城市。两组数据均显示，巴基斯坦全国PM2.5污染水平大幅下降（卫星观测结果为13%至33%，地面观测结果为23%至58%）。结果显示，在巴基斯坦空气质量较差的主要城市，COVID-19的传播率较高。然而，为了确定COVID-19传播与空气污染之间的联系，还需要进行更多的研究。然而，这可以部分归因于较高的人口密度和人口在封锁期前经常暴露于PM2.5浓度升高的水平。
A pneumonia-like disease of unknown origin caused a catastrophe in Wuhan city, China. This disease spread to 215 countries affecting a wide range of people. World health organization (WHO) called it a pandemic and it was officially named as Severe Acute Respiratory Syndrome Corona virus 2 (SARS CoV-2), also known as Corona virus disease (COVID-19). This pandemic compelled countries to enforce a socio-economic lockdown to prevent its widespread. This paper focuses on how the particulate matter pollution was reduced during the lockdown period (23 March to April 15, 2020) as compared to before lockdown. Both ground-based and satellite observations were used to identify the improvement in air quality of Pakistan with primary focus on four major cities of Lahore, Islamabad, Karachi and Peshawar. Both datasets have shown a substantial reduction in PM2.5 pollution levels (ranging from 13% to 33% in case of satellite observations, while 23%–58% in ground-based observations) across Pakistan. Result shows a higher rate of COVID-19 spread in major cities of Pakistan with poor air quality conditions. Yet more research is needed in order to establish linkage between COVID-19 spread and air pollution. However, it can be partially attributed to both higher rate of population density and frequent exposure of population to enhanced levels of PM2.5 concentrations before lockdown period.
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