Evidence map›Paper›PMID 33052194›Full record

ArticleEnvironment, development and sustainability2021

Effect of meteorological factors on COVID-19 cases in Bangladesh.

Abu Reza Md Towfiqul Islam, Md Hasanuzzaman, Md Abul Kalam Azad, Roquia Salam, Farzana Zannat Toshi, Md Sanjid Islam Khan, G M Monirul Alam, Sobhy M Ibrahim

Open access · bronzeAbstract read
In one paragraph

Article in Environment, development and sustainability, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.2field-weighted citation impact, top 9% 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

23 citing papers in PubMed, 70 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Seasonal correlation of meteorological parameters and PMInternational journal of disaster risk reduction : IJDRR · 2023
    Article
  5. How Antimicrobial Resistance Is Linked to Climate Change: An Overview of Two Intertwined Global Challenges.International journal of environmental research and public health · 2023
    Review
  6. Review
  7. Article
  8. Air pollution and meteorological variables' effects on COVID-19 first and second waves in Spain.International journal of environmental science and technology : IJEST · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Effect of daily temperature fluctuations on virus lifetime.The Science of the total environment · 2021
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

8 authors at 3 institutions in 2 countries.

Abu Reza Md Towfiqul IslamDepartment of Disaster Management, Begum Rokeya University, Rangpur, 5400 Bangladesh.ORCID 0000-0001-5779-1382
Md HasanuzzamanDepartment of Disaster Management, Begum Rokeya University, Rangpur, 5400 Bangladesh.
Md Abul Kalam AzadDepartment of Disaster Management, Begum Rokeya University, Rangpur, 5400 Bangladesh.
Roquia SalamDepartment of Disaster Management, Begum Rokeya University, Rangpur, 5400 Bangladesh.
Farzana Zannat ToshiDepartment of Statistics, Begum Rokeya University, Rangpur, 5400 Bangladesh.
Md Sanjid Islam KhanDepartment of Disaster Management, Begum Rokeya University, Rangpur, 5400 Bangladesh.
G M Monirul AlamDepartment of Agribusiness, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Dhaka, Bangladesh.
Sobhy M IbrahimDepartment of Biochemistry, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451 Saudi Arabia.
Begum Rokeya University · BDGazipur Agricultural University · BDKing Saud University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work is intended to examine the effects of Bangladesh's subtropical climate on coronavirus diseases 2019 (COVID-19) transmission. Secondary data for daily meteorological variables and COVID-19 cases from March 8 to May 31, 2020, were collected from the Bangladesh Meteorological Department (BMD) and Institute of Epidemiology, Disease Control and Research (IEDCR). Distributed lag nonlinear models, Pearson's correlation coefficient and wavelet transform coherence were employed to appraise the relationship between meteorological factors and COVID-19 cases. Significant coherence between meteorological variables and COVID-19 at various time-frequency bands has been identified in this work. The results showed that the minimum (MinT) and mean temperature, wind speed (WS), relative humidity (RH) and absolute humidity (AH) had a significant positive correlation while contact transmission had no direct association with the number of COVID-19 confirmed cases. When the MinT was 18 °C, the relative risk (RR) was the highest as 1.04 (95%CI 1.01-1.06) at lag day 11. For the WS, the highest RR was 1.03 (95% CI 1.00-1.07) at lag day 0, when the WS was 21 km/h. When RH was 46%, the highest RR was 1.00 (95% CI 0.98-1.01) at lag day 14. When AH was 23 g/m

Indexed as

BangladeshContact transmissionCOVID-19Meteorological variablesRelative riskRo

Identifiers

PMID33052194
PMCPMC7544416
OpenAlexW3092495042

What OpenQuestion holds

Textmetadata
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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.