Evidence map›Paper›PMID 33596214›Full record

ArticlePloS one2021

Evidence and magnitude of the effects of meteorological changes on SARS-CoV-2 transmission.

Adam Kaplin, Caesar Junker, Anupama Kumar, Mary Anne Ribeiro, Eileen Yu, Michael Wang, Ted Smith, Shesh N Rai, Aruni Bhatnagar

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

9 authors.

Adam KaplinDepartments of Psychiatry & Neurology, Johns Hopkins University SOM, Baltimore, Maryland, United States of America.ORCID 0000-0002-5196-7647
Caesar JunkerJoint Artificial Intelligence Center, Pentagon, Washington, DC, United States of America.ORCID 0000-0002-5037-9026
Anupama KumarDepartments of Psychiatry & Neurology, Johns Hopkins University SOM, Baltimore, Maryland, United States of America.
Mary Anne RibeiroPUPA, Sao Paulo, Brazil.
Eileen YuDepartments of Psychiatry & Neurology, Johns Hopkins University SOM, Baltimore, Maryland, United States of America.ORCID 0000-0002-2567-5042
Michael WangDepartments of Psychiatry & Neurology, Johns Hopkins University SOM, Baltimore, Maryland, United States of America.
Ted SmithChristina Lee Brown Envirome Institute, University of Louisville School of Medicine, Louisville, Kentucky, United States of America.
Shesh N RaiChristina Lee Brown Envirome Institute, University of Louisville School of Medicine, Louisville, Kentucky, United States of America.ORCID 0000-0002-8377-353X
Aruni BhatnagarChristina Lee Brown Envirome Institute, University of Louisville School of Medicine, Louisville, Kentucky, United States of America.

Funding

University of Louisville Center for Integrative Environmental Health SciencesP30ES030283 · NIEHS · UNIVERSITY OF LOUISVILLE · PI Amanda Jo LeBlanc · 2020 to 2026
$10.0M
NIEHS NIH HHS P30 ES030283
6 · The paper itself

Abstract

importanceIntensity and duration of the COVID-19 pandemic, and planning required to balance concerns of saving lives and avoiding economic collapse, could depend significantly on whether SARS-CoV-2 transmission is sensitive to seasonal changes.

objectiveHypothesis is that increasing temperature results in reduced SARS CoV-2 transmission and may help slow the increase of cases over time.

settingFifty representative Northern Hemisphere countries meeting specific criteria had sufficient COVID-19 case and meteorological data for analysis.

methodsRegression was used to find the relationship between the log of number of COVID-19 cases and temperature over time in 50 representative countries. To summarize the day-day variability, and reduce dimensionality, we selected a robust measure, Coefficient of Time (CT), for each location. The resulting regression coefficients were then used in a multivariable regression against meteorological, country-level and demographic covariates.

resultsMedian minimum daily temperature showed the strongest correlation with the reciprocal of CT (which can be considered as a rate associated with doubling time) for confirmed cases (adjusted R2 = 0.610, p = 1.45E-06). A similar correlation was found using median daily dewpoint, which was highly colinear with temperature, and therefore was not used in the analysis. The correlation between minimum median temperature and the rate of increase of the log of confirmed cases was 47% and 45% greater than for cases of death and recovered cases of COVID-19, respectively. This suggests the primary influence of temperature is on SARS-CoV-2 transmission more than COVID-19 morbidity. Based on the correlation between temperature and the rate of increase in COVID-19, it can be estimated that, between the range of 30 to 100 degrees Fahrenheit, a one degree increase is associated with a 1% decrease-and a one degree decrease could be associated with a 3.7% increase-in the rate of increase of the log of daily confirmed cases. This model of the effect of decreasing temperatures can only be verified over time as the pandemic proceeds through colder months.

conclusionsThe results suggest that boreal summer months are associated with slower rates of COVID-19 transmission, consistent with the behavior of a seasonal respiratory virus. Knowledge of COVID-19 seasonality could prove useful in local planning for phased reductions social interventions and help to prepare for the timing of possible pandemic resurgence during cooler months.

Indexed as

COVID-19Hot TemperatureHumansMeteorological ConceptsPandemicsSARS-CoV-2SeasonsWeather

Identifiers

PMID33596214
PMCPMC7888632

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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.