Evidence map›Paper›PMID 39534387›Full record

ArticleEnvironmental epidemiology (Philadelphia, Pa.)2024

Meteorological factors, population immunity, and COVID-19 incidence: A global multi-city analysis.

Denise Feurer, Tim Riffe, Maxi Stella Kniffka, Enrique Acosta, Ben Armstrong, Malcolm Mistry, Rachel Lowe, Dominic Royé, Masahiro Hashizume, Lina Madaniyazi and 40 more

Abstract read
In one paragraph

Article in Environmental epidemiology (Philadelphia, Pa.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

50 authors.

Denise FeurerUnit of Biostatistics, Epidemiology and Public Health (UBEP), University of Padua, Padua, Italy.ORCID https://orcid.org/0009-0001-4573-4302
Tim RiffeUniversidad del País Vasco (UPV/EHU), Leioa, Spain.
Maxi Stella KniffkaMax Planck Institute for Demographic Research, Rostock, Germany.
Enrique AcostaMax Planck Institute for Demographic Research, Rostock, Germany.
Ben ArmstrongDepartment of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, UK.
Malcolm MistryEnvironment & Health Modelling (EHM) Lab, Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, UK.
Rachel LoweBarcelona Supercomputing Center (BSC), Barcelona, Spain.
Dominic RoyéCIBERESP, Madrid. Spain.
Masahiro HashizumeSchool of Tropical Medicine and Global Health, Nagasaki University, Japan.
Lina MadaniyaziSchool of Tropical Medicine and Global Health, Nagasaki University, Japan.
Chris Fook Sheng NgDepartment of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Aurelio TobiasInstitute of Environmental Assessment and Water Research (IDAEA), Spanish Council for Scientific Research (CSIC), Barcelona, Spain.
Carmen ÍñiguezDepartment of Statistics and Computational Research. Universitat de València, València, Spain.
Ana Maria Vicedo-CabreraInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
Martina S RagettliSwiss Tropical and Public Health Institute, Allschwil, Switzerland.
Eric LavigneSchool of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Canada.
Patricia Matus CorreaDepartment of Public Health, Universidad de los Andes, Santiago, Chile.
Nicolás Valdés OrtegaDepartment of Public Health, Universidad de los Andes, Santiago, Chile.
Jan KyselýInstitute of Atmospheric Physics of the Czech Academy of Sciences, Prague, Czech Republic.
Aleš UrbanInstitute of Atmospheric Physics of the Czech Academy of Sciences, Prague, Czech Republic.
Hans OrruInstitute of Family Medicine and Public Health, University of Tartu, Tartu, Estonia.
Ene IndermitteInstitute of Family Medicine and Public Health, University of Tartu, Tartu, Estonia.
Marek MaasikmetsEstonian Environmental Research Centre, Tallinn, Estonia.
Marco DallavalleInstitute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany.
Alexandra SchneiderInstitute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany.
Yasushi HondaCenter for Climate Change Adaptation, National Institute for Environmental Studies, Tsukuba, Japan.
Barrak AlahmadDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, Boston, USA.
Antonella ZanobettiDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, Boston, USA.
Joel SchwartzDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, Boston, USA.
Gabriel CarrascoInstitute of Tropical Medicine "Alexander von Humboldt," Universidad Peruana Cayetano Heredia, Lima, Peru.
Iulian Horia HolobâcaFaculty of Geography, Babes-Bolyai University, Cluj-Napoca, Romania.
Ho KimDepartment of Public Health Science, Graduate School of Public Health, & Institute of Health and Environment, Seoul National University, Seoul, Republic of Korea.
Whanhee LeeSchool of Biomedical Convergence Engineering, Pusan National University.
Michelle L BellSchool of the Environment, Yale University, New Haven, CT, USA.
Noah ScovronickDepartment of Environmental Health. Rollins School of Public Health, Emory University, Atlanta, USA.
Fiorella AcquaottaDepartment of Earth Sciences, University of Torino, Italy.
Micheline de Sousa Zanotti Stagliorio CoélhoInstitute of Advanced Studies, University of São Paulo, São Paulo, Brazil.
Magali Hurtado DiazDepartment of Environmental Health, National Institute of Public Health, Cuernavaca, Morelos, Mexico.
Eunice Elizabeth Félix ArellanoDepartment of Environmental Health, National Institute of Public Health, Cuernavaca, Morelos, Mexico.
Paola MichelozziDepartment of Epidemiology, Lazio Regional Health Service, Rome, Italy.
Massimo StafoggiaDepartment of Epidemiology, Lazio Regional Health Service, Rome, Italy.
Francesca de'DonatoDepartment of Epidemiology, Lazio Regional Health Service, Rome, Italy.
Shilpa RaoNorwegian Institute of Public Health, Oslo, Norway.
Francesco Di RuscioNorwegian Institute of Public Health, Oslo, Norway.
Xerxes SeposoDepartment of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Yuming GuoDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Shilu TongNational Institute of Environmental Health, China CDC, Beijing, China.
Pierre MasselotEnvironment & Health Modelling (EHM) Lab, Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, UK.
Antonio GasparriniEnvironment & Health Modelling (EHM) Lab, Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, UK.
Francesco SeraDepartment of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: While COVID-19 continues to challenge the world, meteorological variables are thought to impact COVID-19 transmission. Previous studies showed evidence of negative associations between high temperature and absolute humidity on COVID-19 transmission. Our research aims to fill the knowledge gap on the modifying effect of vaccination rates and strains on the weather-COVID-19 association. Methods: Our study included COVID-19 data from 439 cities in 22 countries spanning 3 February 2020 - 31 August 2022 and meteorological variables (temperature, relative humidity, absolute humidity, solar radiation, and precipitation). We used a two-stage time-series design to assess the association between meteorological factors and COVID-19 incidence. For the exposure modeling, we used distributed lag nonlinear models with a lag of up to 14 days. Finally, we pooled the estimates using a random effect meta-analytic model and tested vaccination rates and dominant strains as possible effect modifiers. Results: Our results showed an association between temperature and absolute humidity on COVID-19 transmission. At 5 °C, the relative risk of COVID-19 incidence is 1.22-fold higher compared to a reference level at 17 °C. Correlated with temperature, we observed an inverse association for absolute humidity. We observed a tendency of increased risk on days without precipitation, but no association for relative humidity and solar radiation. No interaction between vaccination rates or strains on the weather-COVID-19 association was observed. Conclusions: This study strengthens previous evidence of a relationship of temperature and absolute humidity with COVID-19 incidence. Furthermore, no evidence was found that vaccinations and strains significantly modify the relationship between environmental factors and COVID-19 transmission.

Indexed as

COVID-19Distributed lag nonlinear modelsHumidityMulti-Country Multi-City Collaborative Research NetworkPrecipitationSolar radiationTemperatureTime-series design

Identifiers

PMID39534387
PMCPMC11557119

What OpenQuestion holds

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LicenceCC BY
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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.