关键词: Air pollution Corona virus Local indicators of spatial autocorrelation PM10 Specific mortality rate

Mesh : Air Pollutants / analysis Air Pollution / analysis COVID-19 Humans Infant, Newborn Mortality Pakistan Particulate Matter / analysis SARS-CoV-2

来  源:   DOI:10.1007/s11356-021-15654-z   PDF(Pubmed)

Abstract:
The present research aims to investigate the impact of air pollution on the number of mortalities caused by COVID-19 per Pakistani province. To do so, for each independent area of Pakistan, the observed mortality due to COVID-19 has been standardized over the entire population using standard age groups ranging from 0 to 4, 5 to 9, 10 to 14,…, 65, and above years, supported by the 2017 state people census. The impact of air pollution and COVID-19 transience among Pakistani areas, Islamabad Capital Territory (ICT), and the Federally Administered Tribal Region (FATA) was analyzed by a multiple-linear regression model, while the broad collection of attributes was observed by the resources of local spatial autocorrelation indicators, including the spatial portion of COVID-19 association. The result indicates that the observed mortality rate is much higher than predicted in certain provinces, namely, the Khyber Pakhtunkhwa and Punjab provinces, and the prevalence of PM10 was independently linked to mortality due to the corona virus. Additionally, the results of the local spatial autocorrelation indicators on the standardized mortality rate and PM10 define a collection of very higher ideologies in the broad range of KPK and the southern part of Punjab province, respectively, with a definite degree of connection between the two distributions in the Khyber Pakhtunkhwa region. In brief, this research seems to find a justification for confirming the existence of a correlation between the possibility of COVID-19 mortality and air pollution, more precisely considering air pollutants (i.e., particulate (PM10) and land take-over. To this end, the need to mediate in favor of measures aimed at eliminating emissions in the environment will be reiterated by speeding up current proposals and policies aimed at all causes of atmospheric pollution: urbanization, water and manufacturing, home heating, and transportation.
摘要:
本研究旨在调查空气污染对巴基斯坦各省COVID-19死亡率的影响。要做到这一点,对于巴基斯坦的每个独立地区,观察到的因COVID-19导致的死亡率已在整个人群中进行了标准化,使用的标准年龄组范围为0至4、5至9、10至14、…、65岁及以上,由2017年州人口普查支持。巴基斯坦地区空气污染和COVID-19瞬变的影响,伊斯兰堡首都地区(ICT),通过多元线性回归模型对联邦直辖部落地区(FATA)进行了分析,虽然属性的广泛集合是由局部空间自相关指标的资源观察到的,包括COVID-19关联的空间部分。结果表明,在某些省份,观察到的死亡率远远高于预期,即,开伯尔-普赫图赫瓦省和旁遮普省,PM10的患病率与冠状病毒导致的死亡率独立相关。此外,标准化死亡率和PM10的局部空间自相关指标的结果定义了KPK和旁遮普省南部的一系列非常高的意识形态,分别,开伯尔·普赫图赫瓦地区的两个分布之间有一定程度的联系。简而言之,这项研究似乎找到了证实COVID-19死亡率和空气污染之间存在相关性的理由,更准确地考虑空气污染物(即,颗粒物(PM10)和土地接管。为此,通过加快针对大气污染的所有原因的当前建议和政策,将重申需要调解以支持旨在消除环境排放的措施:城市化,水和制造业,家用暖气,和交通。
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