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基于巴基斯坦数据的环境因素引发的 COVID-19 感染的统计分析。

Statistical analysis of COVID-19 infection caused by environmental factors: Evidence from Pakistan.

机构信息

Zhengzhou Key Laboratory of Big Data Analysis and Application, Henan Academy of Big Data, Zhengzhou University, Zhengzhou 450052, China; School of Mathematics and Statistics, Zhengzhou University, Zhengzhou 450001, China.

Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, Wuhan, Hubei 430071, China.

出版信息

Life Sci. 2021 Mar 15;269:119093. doi: 10.1016/j.lfs.2021.119093. Epub 2021 Jan 18.

DOI:10.1016/j.lfs.2021.119093
PMID:33476630
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7834493/
Abstract

BACKGROUND

Coronavirus disease 2019 (COVID-19) has become a severe public health problem around the globe. Various epidemiological, statistical, and laboratory-based studies have shown that the role of temperature and other environmental factors has important influence in the transmission of coronaviruses. Scientific research is needed to answer the questions about the spread and transmission of the infection, whether people could be avoided from being infected with COVID-19 in next summer.

AIM

We aim to investigate the association of daily average temperature, daily average dew point, daily average humidity, daily average wind speed, and daily average pressure with the infection caused by this novel coronavirus in Pakistan.

KEY FINDINGS

First, we check the correlation between environmental factors and daily infected cases of COVID-19; among them, temperature and dew point have positive linear relationship with daily infected cases of COVID-19. The thought-provoking findings of the present study suggested that higher temperature and dew point can contribute to a rise in COVID-19 disease in four provinces of Pakistan, possible to genome modifications and viral resistance to harsh environment. Moreover, it is also observed that humidity in Punjab and Sindh, and wind speed in Balochistan and Khyber Pakhtunkhwa have influenced the spreading of daily infected COVID-19 cases.

SIGNIFICANCE

Current study will serve as a guideline to develop understanding of environmental factors that influence COVID-19 spread, helping policymakers to prepare and handle a catastrophe resulting from this pandemic.

摘要

背景

2019 年冠状病毒病(COVID-19)已成为全球严重的公共卫生问题。各种流行病学、统计和基于实验室的研究表明,温度和其他环境因素在冠状病毒传播中具有重要影响。需要进行科学研究来回答有关感染传播和传播的问题,以及人们是否可以在下一个夏天避免感染 COVID-19。

目的

我们旨在调查巴基斯坦每日平均温度、每日平均露点、每日平均湿度、每日平均风速和每日平均压力与这种新型冠状病毒感染之间的关系。

主要发现

首先,我们检查了环境因素与 COVID-19 每日感染病例之间的相关性;其中,温度和露点与 COVID-19 每日感染病例呈正线性关系。本研究发人深省的结果表明,较高的温度和露点可能导致巴基斯坦四个省 COVID-19 疾病的增加,这可能导致基因组的改变和病毒对恶劣环境的抵抗力。此外,还观察到旁遮普邦和信德省的湿度以及俾路支省和开伯尔-普赫图赫瓦省的风速影响了每日感染 COVID-19 病例的传播。

意义

本研究将为了解影响 COVID-19 传播的环境因素提供指导,帮助决策者为这场大流行带来的灾难做好准备和应对。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45f6/7834493/ddbfe6a0dbf4/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45f6/7834493/43b119b5bf96/ga1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45f6/7834493/ddbfe6a0dbf4/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45f6/7834493/43b119b5bf96/ga1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45f6/7834493/ddbfe6a0dbf4/gr1_lrg.jpg

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BMJ Open. 2020 Nov 16;10(11):e041397. doi: 10.1136/bmjopen-2020-041397.
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Unraveling the Epidemiology, Geographical Distribution, and Genomic Evolution of Potentially Lethal Coronaviruses (SARS, MERS, and SARS CoV-2).揭示潜在致命冠状病毒(SARS、MERS 和 SARS-CoV-2)的流行病学、地理分布和基因组进化。
Front Cell Infect Microbiol. 2020 Aug 27;10:499. doi: 10.3389/fcimb.2020.00499. eCollection 2020.
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Trend Dynamics of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Transmission in 16 Cities of Hubei Province, China.
中国湖北省16个城市严重急性呼吸综合征冠状病毒2(SARS-CoV-2)传播的趋势动态
Clin Epidemiol. 2020 Jul 2;12:699-709. doi: 10.2147/CLEP.S254806. eCollection 2020.
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Association of COVID-19 pandemic with meteorological parameters over Singapore.新加坡新冠疫情与气象参数的关联研究。
Sci Total Environ. 2020 Oct 20;740:140112. doi: 10.1016/j.scitotenv.2020.140112. Epub 2020 Jun 12.
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SARS-CoV-2 and COVID-19: A genetic, epidemiological, and evolutionary perspective.SARS-CoV-2 与 COVID-19:遗传、流行病学和进化角度的分析。
Infect Genet Evol. 2020 Oct;84:104384. doi: 10.1016/j.meegid.2020.104384. Epub 2020 May 29.
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Gender Differences in Patients With COVID-19: Focus on Severity and Mortality.COVID-19 患者的性别差异:关注严重程度和死亡率。
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