Evidence map›Paper›PMID 33407987›Full record

ArticleEpidemiology and infection2021

Impact of population density and weather on COVID-19 pandemic and SARS-CoV-2 mutation frequency in Bangladesh.

Nadim Sharif, Shuvra Kanti Dey

Abstract read
In one paragraph

Article in Epidemiology and infection, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Dynamics of SARS-CoV-2 variants in West Africa: Insights into genomic surveillance in resource-constrained settings.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2024
    Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. COVID-19 and environmental concerns: A rapid review.Renewable & sustainable energy reviews · 2021
    Review
  14. Article
  15. Article
  16. Do Old Age and ComorbidityFrontiers in public health
    Article
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

2 authors.

Nadim SharifDepartment of Microbiology, Jahangirnagar University, Savar, Dhaka1342, Bangladesh.ORCID 0000-0003-2377-9726
Shuvra Kanti DeyDepartment of Microbiology, Jahangirnagar University, Savar, Dhaka1342, Bangladesh.ORCID 0000-0002-2440-5673

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease-2019 (COVID-19) has caused the recent pandemic worldwide. Research studies are focused on various factors affecting the pandemic to find effective vaccine or therapeutics against COVID-19. Environmental factors are the important regulators of COVID-19 pandemic. This study aims to determine the impact of weather on the COVID-19 cases, fatalities and frequency of mutations in Bangladesh. The impacts were determined on 1, 7 and 14 days of the case. The study was conducted based on Spearman's correlation coefficients. The highest correlation was found between population density and cases (rs = 0.712). Among metrological parameters, average temperature had the strongest correlation (rs = -0.675) with the cases. About 82% of Bangladeshi isolates had D614G at spike protein. Both temperature and UV index had strong effects on the frequency of mutations. Among host factors, coinfection is highly associated with frequency of different mutations. This study will give a complete picture of the effects of metrological parameters on COVID-19 cases, fatalities and mutation frequency that will help the authorities to take proper decisions.

Indexed as

MutationPopulation DensityWeatherAdolescentAdultAgedAged, 80 and overBangladeshChildChild, PreschoolCOVID-19FemaleHumansInfantInfant, NewbornMaleBangladeshCOVID-19mutation frequencypopulation densitytemperatureUV index

Identifiers

PMID33407987
PMCPMC7844183

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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.