Evidence map›Paper›PMID 32531684›Full record

ArticleThe Science of the total environment2020

The effects of regional climatic condition on the spread of COVID-19 at global scale.

Muhammad Mazhar Iqbal, Irfan Abid, Saddam Hussain, Naeem Shahzad, Muhammad Sohail Waqas, Muhammad Jawed Iqbal

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The Science of the total environment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 3 pooled it
3.8field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

41 citing papers in PubMed, 3 syntheses or guidelines pooled it, 125 citations in OpenAlex.

  1. Pooled it
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  4. Review
  5. Article
  6. Article
  7. Effects of fine particulate matter (PMCase studies in chemical and environmental engineering · 2023
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  15. Impact of climate indicators on the COVID-19 pandemic in Saudi Arabia.Environmental science and pollution research international · 2022
    Article
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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

6 authors at 3 institutions in 1 country.

Muhammad Mazhar IqbalNational University of Sciences and Technology (NUST), Islamabad, Pakistan. Electronic address: maziqbal@mce.nust.edu.pk.
Irfan AbidNational University of Sciences and Technology (NUST), Islamabad, Pakistan.
Saddam HussainDepartment of Irrigation and Drainage, University of Agriculture, Faisalabad, Pakistan.
Naeem ShahzadNational University of Sciences and Technology (NUST), Islamabad, Pakistan.
Muhammad Sohail WaqasSoil Conservation Group, Agriculture Department (Field Wing), Government of the Punjab, Pakistan.
Muhammad Jawed IqbalNational University of Sciences and Technology (NUST), Islamabad, Pakistan.
National University of Sciences and Technology · PKGovernment of Pakistan · PKUniversity of Agriculture Faisalabad · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pandemic outbreak of the novel coronavirus epidemic disease (COVID-19) is spreading like a diffusion-reaction in the world and almost 208 countries and territories are being affected around the globe. It became a sever health and socio-economic problem, while the world has no vaccine to combat this virus. This research aims to analyze the connection between the fast spread of COVID-19 and regional climate parameters over a global scale. In this research, we collected the data of COVID-19 cases from the time of 1st reported case to the 5th June 2020 in different affected countries and regional climatic parameters data from January 2020 to 5th June 2020. It was found that most of the countries located in the relatively lower temperature region show a rapid increase in the COVID-19 cases than the countries locating in the warmer climatic regions despite their better socio-economic conditions. A correlation between metrological parameters and COVID-19 cases was observed. Average daylight hours are correlated to total the COVID-19 cases with a coefficient of determination of 0.42, while average high-temperature shows a correlation of 0.59 and 0.42 with total COVID-19 cases and death cases respectively. The finding of the study will help international health organizations and local administrations to combat and well manage the spread of COVID-19.

Indexed as

BetacoronavirusClimatePandemicsPneumonia, ViralCoronavirus InfectionsCOVID-19HumansSARS-CoV-2Socioeconomic FactorsAverage high temperatureAverage low temperatureCOVID-19Daylight hoursRegional climate

Identifiers

PMID32531684
PMCPMC7280824
OpenAlexW3035098990

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.