Impact of meteorological factors and population density on COVID-19 pandemic in Saudi Arabia.

Khalid J Alzahrani, Nadim Sharif, Afsana Khan, Hamsa Jameel Banjer, Anowar Khasru Parvez, Shuvra Kanti Dey

Abstract read

In one paragraph

Article in Saudi journal of biological sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Khalid J AlzahraniDepartment of Clinical Laboratories Sciences, College of Applied Medical Sciences, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia.

Nadim SharifDepartment of Microbiology, Jahangirnagar University, Savar, Dhaka 1342, Bangladesh.

Afsana KhanDepartment of Statistics, Jahangirnagar University, Savar, Dhaka 1342, Bangladesh.

Hamsa Jameel BanjerDepartment of Clinical Laboratories Sciences, College of Applied Medical Sciences, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia.

Anowar Khasru ParvezDepartment of Microbiology, Jahangirnagar University, Savar, Dhaka 1342, Bangladesh.

Shuvra Kanti DeyDepartment of Microbiology, Jahangirnagar University, Savar, Dhaka 1342, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transmission and increase in cases and fatalities of coronavirus disease-2019 (COVID-19) are significantly influenced by the parameters of weather, human activities and population factors. However, study gap on the seasonality of COVID-19 and impact of environmental factors on the pandemic in Saudi Arabia is present. The main aim of the study is to evaluate the impact of environment on the COVID-19 pandemic. Data were analyzed from January 2020 to July 2021. The generalized estimating equation (GEE) was used to determine the effect of environmental variables on longitudinal outcomes. Spearman's rank correlation coefficient (

Indexed as

COVID-19PopulationSaudi ArabiaVaccinationVariant of concernWeather

Identifiers

PMID36575671

DOI10.1016/j.sjbs.2022.103545

PMCPMC9783186

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