空气污染物指数(API)与马来西亚 2019 年冠状病毒疾病(COVID-19)中的 SARS-CoV-2 的关系

IF 1.1 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES
Samsuri Abdullah, Muhammad Azhari Imran, Amalina Abu Mansor, Ku Mohd Kalkausar Ku Yusof, Nazri Che Dom, Siti Khamisah Saijan, Siti Rohana Mohd Yatim, Ali Najah Ahmed, Marzuki Ismail
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引用次数: 0

摘要

马来西亚于 2020 年 1 月 25 日报告了首例 COVID-19 病例,而且病例还在继续增加,因此有必要采取更多措施。因此,确定导致 COVID-19 病例大幅增加的因素是政府的当务之急,以便采取必要行动,最终在疫苗上市前抑制这种病毒。研究人员曾预测,空气污染与 COVID-19 病毒感染有间接关系。因此,本研究重点关注空气污染指数(API)与 COVID-19 感染之间的联系。初始数据集包括马来西亚每日确诊的 COVID-19 病例以及从卫生部(MOH)和环境部(DOE)获得的 API 读数。结果显示,巴生(S22)的空气污染指数平均值最高,为 62.70,最低的是林邦(S37)(25.37)。其次,由于马来西亚实施了交通管制令(MCO),减少了社会流动,27 个站点的空气污染指数达到良好水平,而中等和不健康水平的站点则较少。各地区的空气污染指数与 COVID-19 之间存在正相关关系,北部为 0.4%(R2=0.004),中部为 2.1%(R2=0.021),南部为 0.04%(R2=0.0004),东部为 1.6%(R2=0.016),砂拉越为 0.2%(R2=0.002),而沙巴则为 4.3%(R2=0.043)。总之,API值与COVID-19每日病例数的上升并无密切关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Association of Air Pollutant Index (API) on SARS-CoV-2 of Coronavirus Disease 2019 (COVID-19) in Malaysia

Malaysia reported its first COVID-19 case on January 25, 2020, and the cases have continued to grow, necessitating the implementation of additional measures. Hence, determining the factors responsible for the significant increase in COVID-19 cases is the top priority issue for the government to take necessary action and ultimately restrain this virus before the vaccine availability. Researchers had predicted that air pollution had an indirect relationship with COVID-19 in terms of virus infections. As a result, this study focuses on the link between the Air Pollutant Index (API) and COVID-19 infections. The initial data set consists of daily confirmed COVID-19 cases in Malaysia and API readings obtained from the Ministry of Health (MOH) and the Department of the Environment (DOE). The results show that Klang (S22) recorded the highest mean of API which at 62.70 while the lowest is at Limbang (S37) (25.37). Next, due to the implementation of Movement Control Order (MCO) in Malaysia and reducing social movement, 27 stations recorded a good level of API compare to the stations that recorded moderate and unhealthy levels. There is positive relationship between API and COVID-19 at each of the region which are North 0.4% (R2=0.004), Central 2.1% (R2=0.021), South 0.04% (R2=0.0004), East 1.6% (R2=0.016), Sarawak 0.2% (R2=0.002), meanwhile Sabah recorded negative correlation at 4.3% (R2=0.043). To conclude, the API value did not have a strong relationship with the rising number of COVID-19 daily cases.

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来源期刊
Asian Journal of Atmospheric Environment
Asian Journal of Atmospheric Environment METEOROLOGY & ATMOSPHERIC SCIENCES-
CiteScore
2.80
自引率
6.70%
发文量
22
审稿时长
21 weeks
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