Evidence map›Paper›PMID 34501673›Full record

ArticleInternational journal of environmental research and public health2021

Does Climate Play Any Role in COVID-19 Spreading?-An Australian Perspective.

Joji Abraham, Christopher Turville, Kim Dowling, Singarayer Florentine

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

10 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
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  8. Relationship between Meteorological and Air Quality Parameters and COVID-19 in Casablanca Region, Morocco.International journal of environmental research and public health · 2022
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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

4 authors at 1 institution in 2 countries.

Joji AbrahamSchool of Engineering, Information Technology and Physical Sciences, Federation University Australia, Mt Helen Campus, Ballarat, VIC 3353, Australia.
Christopher TurvilleSchool of Engineering, Information Technology and Physical Sciences, Federation University Australia, Mt Helen Campus, Ballarat, VIC 3353, Australia.ORCID 0000-0001-9855-9838
Kim DowlingSchool of Engineering, Information Technology and Physical Sciences, Federation University Australia, Mt Helen Campus, Ballarat, VIC 3353, Australia.
Singarayer FlorentineFuture Regions Research Centre, School of Science, Psychology and Sport, Federation University Australia, Mt Helen Campus, Ballarat, VIC 3353, Australia.ORCID 0000-0002-5734-3421
Federation University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Compared to other countries, the COVID-19 pandemic did not severely affect Australia as measured by total deaths until mid-2021. Though a substantial number of daily confirmed cases (up to 698) were reported during the second wave, most of them were from the southern state of Victoria. This study examined the possible correlations between climate variables and the number of daily confirmed COVID-19 cases in Victoria, Australia, from 25 January to 31 October 2020. Appropriate regression models and cross-correlation diagnostics were used to examine the effect of temperature, rainfall, solar exposure, and ultraviolet index (UVI) with the number of daily confirmed cases. Significant positive associations were identified for solar exposure and maximum and average UVI for confirmed cases one and 19 days later. Negative associations for these variables were found for confirmed cases five days later. Minimum temperature had a significant negative correlation one day later and a positive effect 21 days later. No significant correlation was found for maximum temperature and rainfall. The most significant relationships were found for confirmed cases 19 days after changes in the meteorological variables. A 1% increase in solar exposure, maximum UVI, and average UVI was associated with a 0.31% (95% CI: 0.13 to 0.51), 0.71% (95% CI: 0.43 to 0.98), and 0.63% (95%CI: 0.20 to 1.61) increase 19 days later in the number of confirmed cases, respectively. The implications of these results can be used in the public health management of any possible future events in Australia. It also highlights the significance of considering the climatic variables and seasonality in all kinds of epidemics and pandemics.

Indexed as

COVID-19PandemicsHumansSARS-CoV-2VictoriaWeatherclimate and COVID-19coronavirus diseaseSARS-CoV-2solar radiation and COVID-19ultraviolet indexweather factors and COVID-19

Identifiers

PMID34501673
PMCPMC8431748
OpenAlexW3196845327

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.