Evidence map›Paper›PMID 33908339›Full record

ArticleEpidemiology and infection2021

Impact of meteorological parameters and population density on variants of SARS-CoV-2 and outcome of COVID-19 pandemic in Japan.

Nadim Sharif, Shamsun Nahar Ahmed, Rubayet Rayhan Opu, Muktasid Ud Daullah, Shahriar Khan, Ali Azam Talukder, Shoko Okitsu, Hiroshi Ushijima, Ming Zhang, 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 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  11. The Willingness to Pay for a Hypothetical Vaccine for the Coronavirus Disease 2019 (COVID-19).International journal of environmental research and public health · 2021
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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

10 authors.

Nadim SharifDepartment of Microbiology, Jahangirnagar University, Savar, Dhaka1342, Bangladesh.ORCID 0000-0003-2377-9726
Shamsun Nahar AhmedDepartment of Microbiology, Jahangirnagar University, Savar, Dhaka1342, Bangladesh.
Rubayet Rayhan OpuDepartment of Microbiology, Jahangirnagar University, Savar, Dhaka1342, Bangladesh.
Muktasid Ud DaullahDepartment of Microbiology, Jahangirnagar University, Savar, Dhaka1342, Bangladesh.
Shahriar KhanDepartment of Microbiology, Jahangirnagar University, Savar, Dhaka1342, Bangladesh.ORCID 0000-0001-6159-8438
Ali Azam TalukderDepartment of Microbiology, Jahangirnagar University, Savar, Dhaka1342, Bangladesh.
Shoko OkitsuDivision of Microbiology, Department of Pathology and Microbiology, Nihon University, Tokyo, Japan.
Hiroshi UshijimaDivision of Microbiology, Department of Pathology and Microbiology, Nihon University, Tokyo, Japan.
Ming ZhangDepartment of Epidemiology and Biostatistics, College of Public Health, University of Georgia, Athens, GA, USA.
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

Although vaccines have become available, emergence and rapid transmission of new variants have added new paradigm in the coronavirus disease-2019 (COVID-19) pandemic. Weather, population and host immunity have been detected as the regulatory elements of COVID-19. This study aims to investigate the effects of weather, population and host factors on the outcome of COVID-19 and mutation frequency in Japan. Data were collected during January 2020 to February 2021. About 92% isolates were form GR clades. Variants 501Y.V1 (53%) and 452R.V1 (24%) were most prevalent in Japan. The strongest correlation was detected between fatalities and population density (rs = 0.81) followed by total population (rs = 0.72). Relative humidity had the highest correlation (rs = -0.71) with the case fatality rate. Cluster mutations namely N501Y (45%), E484K (30%), N439K (16%), K417N (6%) and T478I (3%) at spike protein have increased during January to February 2021. Above 90% fatality was detected in patients aged >60 years. The ratio of male to female patients of COVID-19 was 1.35:1. This study will help to understand the seasonality of COVID-19 and impact of weather on the outcome which will add knowledge to reduce the health burden of COVID-19 by the international organisations and policy makers.

Indexed as

Population DensitySARS-CoV-2WeatherCOVID-19DNA Mutational AnalysisGenome, ViralHumansJapanMutationSpatial AnalysisTime FactorsCluster mutationsCOVID-19Japanpopulation densityvariantsweather

Identifiers

PMID33908339
PMCPMC8134905

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.