Evidence map›Paper›PMID 40477735›Full record

ArticleMeteorological applications

A delayed modulation of solar ultraviolet radiation on the COVID-19 transmission reflects an incubation period.

Maosheng He, Keyan Fang, Feifei Zhou, Tinghai Ou, Deliang Chen

Abstract read
In one paragraph

Article in Meteorological applications. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Maosheng HeKuehlungsborn Germany.ORCID https://orcid.org/0000-0001-6112-2499
Keyan FangKey Laboratory of Humid Subtropical Eco-Geographical Process (Ministry of Education) Fujian Normal University Fuzhou China.
Feifei ZhouKey Laboratory of Humid Subtropical Eco-Geographical Process (Ministry of Education) Fujian Normal University Fuzhou China.
Tinghai OuRegional Climate Group, Department of Earth Sciences University of Gothenburg Gothenburg Sweden.
Deliang ChenRegional Climate Group, Department of Earth Sciences University of Gothenburg Gothenburg Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Laboratory experiments have revealed the meteorological sensitivity of the coronavirus disease 2019 (COVID-19) virus. However, no consensus has been reached about how outdoor meteorological conditions modulate the virus transmission as it is also constrained by non-meteorological conditions. Here, we identify the outbreak's evolution stage, constrained least by non-meteorological conditions, by searching the maximum correlation coefficient between the ultraviolet flux and the growth rate of cumulative confirmed cases at the country level. At this least-constrained stage, the cumulative cases count around 1300-3200, and the count's daily growth rate correlates with the ultraviolet flux and temperature significantly (correlation coefficients

Indexed as

COVID‐19incubation periodtransmissionultraviolet flux

Identifiers

PMID40477735
PMCPMC9538418

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.