Evidence map›Paper›PMID 34645794›Full record

ArticleNature communications2021

A cross-sectional analysis of meteorological factors and SARS-CoV-2 transmission in 409 cities across 26 countries.

Francesco Sera, Ben Armstrong, Sam Abbott, Sophie Meakin, Kathleen O'Reilly, Rosa von Borries, Rochelle Schneider, Dominic Royé, Masahiro Hashizume, Mathilde Pascal and 6 more

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing 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

49 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

16 authors.

Francesco SeraDepartment of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, UK. francesco.sera@lshtm.ac.uk.
Ben ArmstrongDepartment of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, UK.ORCID 0000-0003-4407-0409
Sam AbbottCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.
Sophie MeakinCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.
Kathleen O'ReillyCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.ORCID 0000-0002-4892-8022
Rosa von BorriesCharité Universitätsmedizin, Berlin, Germany.ORCID 0000-0002-4857-3452
Rochelle SchneiderDepartment of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, UK.ORCID 0000-0002-2905-0154
Dominic RoyéDepartment of Geography, CIBER of Epidemiology and Public Health (CIBERESP), University of Santiago de Compostela, Santiago de Compostela, Spain.ORCID 0000-0002-5516-6396
Masahiro HashizumeDepartment of Paediatric Infectious Disease, Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan.ORCID 0000-0003-4720-1750
Mathilde PascalSanté Publique France, Department of Environmental and Occupational Health, French National Public Health Agency, Saint Maurice, France.
Aurelio TobiasSchool of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan.
Ana Maria Vicedo-CabreraInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.ORCID 0000-0001-6982-8867
MCC Collaborative Research Network
CMMID COVID-19 Working Group
Antonio GasparriniDepartment of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, UK.ORCID 0000-0002-2271-3568
Rachel LoweCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK. rachel.lowe@lshtm.ac.uk.ORCID 0000-0003-3939-7343

Funding

Pilot Project ProgramP30ES019776 · NIEHS · EMORY UNIVERSITY · PI Carmen Joseph Marsit · 2013 to 2026
$22.6M
CRCNS: Deep Neural Network Approaches for Closed-Loop Deep Brain StimulationR01NS110424 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI RICHARDSON, ROBERT MARK, TURNER, ROBERT STERLING · 2018 to 2020
$673k
Medical Research Council MR/R013349/1NIEHS NIH HHS P30 ES019776NINDS NIH HHS R01 NS110424Wellcome Trust
6 · The paper itself

Abstract

There is conflicting evidence on the influence of weather on COVID-19 transmission. Our aim is to estimate weather-dependent signatures in the early phase of the pandemic, while controlling for socio-economic factors and non-pharmaceutical interventions. We identify a modest non-linear association between mean temperature and the effective reproduction number (R

Indexed as

Meteorological ConceptsBasic Reproduction NumberCitiesCOVID-19Cross-Sectional StudiesHumansMeta-Analysis as TopicPandemicsRegression AnalysisSARS-CoV-2SeasonsTemperatureWeather

Identifiers

PMID34645794
PMCPMC8514574

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.