Evidence map›Paper›PMID 33476630›Full record

ArticleLife sciences2021

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

Muhammad Fawad, Sumaira Mubarik, Saima Shakil Malik, Jingli Ren

Abstract read
In one paragraph

Article in Life sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Muhammad FawadZhengzhou 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.
Sumaira MubarikDepartment of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, Wuhan, Hubei 430071, China.
Saima Shakil MalikDepartment of zoology, University of Gujrat, Gujrat 50700, Pakistan.
Jingli RenZhengzhou Key Laboratory of Big Data Analysis and Application, Henan Academy of Big Data, Zhengzhou University, Zhengzhou 450052, China. Electronic address: renjl@zzu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronavirus 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.

aimWe 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

findingsFirst, 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.

Indexed as

TemperatureWeatherAdolescentAdultAgedAged, 80 and overChildCOVID-19Data Interpretation, StatisticalFemaleHumansHumidityMaleMiddle AgedPakistanWindCOVID-19Environmental factorsPrincipal components regressionPublic health

Identifiers

PMID33476630
PMCPMC7834493

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.