Evidence map›Paper›PMID 33551528›Full record

ArticleTheoretical and applied climatology2021

Impact of meteorological parameters on COVID-19 transmission in Bangladesh: a spatiotemporal approach.

Al-Ekram Elahee Hridoy, Abdul Mohaimen, Shekh Md Shajid Hasan Tusher, Sayed Ziaul Amin Nowraj, Mohammad Atiqur Rahman

Open access · bronzeAbstract read
In one paragraph

Article in Theoretical and applied climatology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

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  8. Consequences of pre and post confinement on the atmospheric air pollutants during spread of COVID-19 in India.Indian journal of physics and proceedings of the Indian Association for the Cultivation of Science (2004) · 2023
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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

5 authors at 1 institution in 1 country.

Al-Ekram Elahee HridoyDepartment of Geography and Environmental Studies, University of Chittagong, Chittagong, 4331 Bangladesh.
Abdul MohaimenDepartment of Geography and Environmental Studies, University of Chittagong, Chittagong, 4331 Bangladesh.
Shekh Md Shajid Hasan TusherDepartment of Geography and Environmental Studies, University of Chittagong, Chittagong, 4331 Bangladesh.
Sayed Ziaul Amin NowrajDepartment of Geography and Environmental Studies, University of Chittagong, Chittagong, 4331 Bangladesh.
Mohammad Atiqur RahmanDepartment of Geography and Environmental Studies, University of Chittagong, Chittagong, 4331 Bangladesh.ORCID 0000-0002-7198-4399
University of Chittagong · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has been more than 10 months since the first COVID-19 case was reported in Wuhan, China, still menacing the world with a possible second wave. This study aimed to analyze how meteorological variables can affect the spread of local COVID-19 transmission in Bangladesh. Nine spatial units were considered from a meteorological standpoint to characterize COVID-19 transmission in Bangladesh. The daily COVID-19 incidence and meteorological variable (e.g., mean temperature, relative humidity, precipitation, and wind speed) data from April 5 to September 20, 2020, were collected. The Spearman rank correlation, heat maps, and multivariate quasi-Poisson regression were employed to understand their association. The effect of meteorological variables on COVID-19 transmission was modeled using a lag period of 10 days. Results showed that mean temperature, relative humidity, and wind speed are substantially associated with an increased risk of COVID-19. On the other hand, daily precipitation is significantly associated with a decreased risk of COVID-19 incidence. The relative risks (RR) of mean temperature for daily COVID-19 incidences were 1.222 (95% confidence interval [CI], 1.214-1.232). For wind speed, the RR was 1.087 (95% CI, 1.083-1.090). For relative humidity, the RR was 1.027 (95% CI, 1.025-1.029). Overall, this study found the profound effect of meteorological parameters on COVID-19 incidence across selected nine areas in Bangladesh. This study is probably the first study to explore the impact of region-specific meteorological conditions on COVID-19 incidence in Bangladesh. Moreover, adjustments on the areal-aggregated and regional levels were made for three confounding factors, including lockdown, population density, and potential seasonal effects. The study's findings suggest that SARS-CoV-2 can be transmitted in high temperatures and humidity conditions, which contradicts many other countries' prior studies. The research outcomes will provide implications for future control and prevention measures in Bangladesh and other countries with similar climate conditions and population density.

Identifiers

PMID33551528
PMCPMC7854875
OpenAlexW3126866761

What OpenQuestion holds

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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.