Evidence map›Paper›PMID 35307374›Full record

ArticleEnvironmental research2022

Role of meteorological factors on SARS-CoV-2 infection incidence in Italy and Spain before the vaccination campaign. A multi-city time series study.

Gabriele Donzelli, Annibale Biggeri, Aurelio Tobias, Luise N Nottmeyer, Francesco Sera

Open access · greenAbstract read
In one paragraph

Article in Environmental research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

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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

5 authors at 4 institutions in 4 countries.

Gabriele DonzelliDepartment of Statistics, Computer Science and Applications "G. Parenti", University of Florence, Florence, Italy. Electronic address: gabriele.donzelli@unifi.it.
Annibale BiggeriDepartment of Cardio, Thoracic, Vascular Sciences and Public Health, University of Padua, Padua, Italy. Electronic address: annibale.biggeri@unipd.it.
Aurelio TobiasInstitute of Environmental Assessment and Water Research (IDAEA), Spanish Council for Scientific Research (CSIC), Barcelona, Spain; School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan. Electronic address: aurelio.tobias@idaea.csic.es.
Luise N NottmeyerFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom. Electronic address: luise.nottmeyer1@alumni.lshtm.ac.uk.
Francesco SeraDepartment of Statistics, Computer Science and Applications "G. Parenti", University of Florence, Florence, Italy. Electronic address: francesco.sera@unifi.it.
University of Florence · ITInstitute of Environmental Assessment and Water Research · ESLondon School of Hygiene & Tropical Medicine · GBUniversity of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Numerous studies have been conducted worldwide to investigate if an association exists between meteorological factors and the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection incidence. Although research studies provide conflicting results, which can be partially explained by different methods used, some clear trends emerge on the role of weather conditions and SARS-CoV-2 infection, especially for temperature and humidity. This study sheds more light on the relationship between meteorological factors and SARS-CoV-2 infection incidence in 23 Italian and 52 Spanish cities. For the purposes of this study, daily air temperature, absolute and relative humidity, wind speed, ultraviolet radiation, and rainfall are considered exposure variables. We conducted a two-stage meta-regression. In the first stage, we estimated the exposure-response association through time series regression analysis at the municipal level. In the second stage, we pooled the association parameters using a meta-analytic model. The study demonstrates an association between meteorological factors and SARS-CoV-2 infection incidence. Specifically, low levels of ambient temperatures and absolute humidity were associated with an increased relative risk. On the other hand, low and high levels of relative humidity and ultraviolet radiation were associated with a decreased relative risk. Concerning wind speed and rainfall, higher values contributed to the reduction of the risk of infection. Overall, our results contribute to a better understanding of how the meteorological factors influence the spread of the SARS-CoV-2 and should be considered in a wider context of existing robust literature that highlight the importance of measures such as social distancing, improved hygiene, face masks and vaccination campaign.

Indexed as

COVID-19ChinaCitiesHumansHumidityImmunization ProgramsIncidenceItalyMeteorological ConceptsSARS-CoV-2SpainTemperatureTime FactorsUltraviolet RaysDistributed-lag non-linear modelMeteorological factorsRegression modelsSARS-CoV-2 infectionTime series

Identifiers

PMID35307374
PMCPMC8928740
OpenAlexW4220950903

What OpenQuestion holds

Textmetadata
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.