Evidence map›Paper›PMID 34192228›Full record

ArticleExperimental results2021

Weather variability and transmissibility of COVID-19: a time series analysis based on effective reproductive number.

Michael Nevels, Xiaohan Si, Hilary Bambrick, Yuzhou Zhang, Jian Cheng, Hannah McClymont, Michael B Bonsall, Wenbiao Hu

Abstract read
In one paragraph

Article in Experimental results, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

8 authors.

Michael NevelsUniversity of St Andrews, Biomolecular Sciences Building, Fife, United Kingdom of Great Britain and Northern Ireland, KY16 9ST.
Xiaohan SiSchool of Public Health and Social Work, Queensland University of Technology, Brisbane, 4059, Queensland, Australia.ORCID https://orcid.org/0000-0002-0932-0858
Hilary BambrickSchool of Public Health and Social Work, Queensland University of Technology, Brisbane, 4059, Queensland, Australia.
Yuzhou ZhangSchool of Public Health and Social Work, Queensland University of Technology, Brisbane, 4059, Queensland, Australia.
Jian ChengSchool of Public Health and Social Work, Queensland University of Technology, Brisbane, 4059, Queensland, Australia.
Hannah McClymontSchool of Public Health and Social Work, Queensland University of Technology, Brisbane, 4059, Queensland, Australia.ORCID https://orcid.org/0000-0002-2973-9015
Michael B BonsallMathematical Ecology Research Group, Department of Zoology, University of Oxford, Oxford, OX1 3SZ, UK.
Wenbiao HuSchool of Public Health and Social Work, Queensland University of Technology, Brisbane, 4059, Queensland, Australia.ORCID https://orcid.org/0000-0001-6422-9240

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 is causing a significant burden on medical and healthcare resources globally due to high numbers of hospitalisations and deaths recorded as the pandemic continues. This research aims to assess the effects of climate factors (i.e., daily average temperature and average relative humidity) on effective reproductive number of COVID-19 outbreak in Wuhan, China during the early stage of the outbreak. Our research showed that effective reproductive number of COVID-19 will increase by 7.6% (95% Confidence Interval: 5.4% ~ 9.8%) per 1°C drop in mean temperature at prior moving average of 0-8 days lag in Wuhan, China. Our results indicate temperature was negatively associated with COVID-19 transmissibility during early stages of the outbreak in Wuhan, suggesting temperature is likely to effect COVID-19 transmission. These results suggest increased precautions should be taken in the colder seasons to reduce COVID-19 transmission in the future, based on past success in controlling the pandemic in Wuhan, China.

Indexed as

COVID-19effective reproductive numbertime series regression modelweather factors

Identifiers

PMID34192228
PMCPMC8007945

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.