Evidence map›Paper›PMID 35036101›Full record

ArticlePeerJ2022

Influence of environmental factors on the spread of COVID-19 in Saudi Arabia.

Syed Mohammed Basheeruddin Asdaq, Syed Imam Rabbani, Abdulhakeem S Alamri, Wala F Alsanie, Majid Alhomrani, Mohammad J Al-Yamani

Abstract read
In one paragraph

Article in PeerJ, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Observational
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.

Syed Mohammed Basheeruddin Asdaq *Department of Pharmacy Practice, College of Pharmacy, AlMaarefa University, Dariyah, Riyadh, Saudi Arabia.
Syed Imam Rabbani *Department of Pharmacology and Toxicology, College of Pharmacy, Qassim University, Buraydah, Kingdom of Saudi Arabia.
Abdulhakeem S AlamriCentre of Biomedical Sciences Research (CBSR), Deanship of Scientific Research, Taif University, Saudi Arabia, Taif, Saudi Arabia.
Wala F AlsanieCentre of Biomedical Sciences Research (CBSR), Deanship of Scientific Research, Taif University, Saudi Arabia, Taif, Saudi Arabia.
Majid AlhomraniCentre of Biomedical Sciences Research (CBSR), Deanship of Scientific Research, Taif University, Saudi Arabia, Taif, Saudi Arabia.
Mohammad J Al-YamaniDepartment of Pharmacy Practice, College of Pharmacy, AlMaarefa University, Dariyah, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronavirus disease 2019 (COVID-19) has affected millions of people worldwide. The infection is mostly spread through the inhalation of infected droplets. Saudi Arabia is a vast country having different climatic conditions.

methodsThe study evaluated the influence of environmental factors on the spread of COVID-19. Six zones (A to F) were classified depending on the climatic conditions. The study was conducted by retrospective analysis of COVID-19 records from the ministry of health between the months of September 2020 and August 2021. The environmental data such as average temperature (°C), humidity (%), wind speed (m/s) and sun exposure (kwh/m

resultsAccording to the findings, the rate of infection was greater between April and July 2021. Six climatic zones experienced high temperatures, little humidity, consistent wind flow, and intense sun exposure throughout this time. The correlation study revealed a significant (

Indexed as

COVID-19HumansRetrospective StudiesSaudi ArabiaTemperatureWeatherClimatic zonesCOVID-19Environmental factorsHumiditySaudi ArabiaSpreadTemperature

Identifiers

PMID35036101
PMCPMC8743009

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.