Evidence map›Paper›PMID 33916590›Full record

ArticleInternational journal of environmental research and public health2021

Community Risk Factors in the COVID-19 Incidence and Mortality in Catalonia (Spain). A Population-Based Study.

Quim Zaldo-Aubanell, Ferran Campillo I López, Albert Bach, Isabel Serra, Joan Olivet-Vila, Marc Saez, David Pino, Roser Maneja

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 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 17% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
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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

8 authors at 6 institutions in 1 country.

Quim Zaldo-AubanellEnvironment and Human Health Laboratory (EH2 Lab), Forest Science and Technology Center of Catalonia, Ctra. de St. Llorenç de Morunys, km 2, 25280 Solsona, Spain.ORCID 0000-0002-5857-4520
Ferran Campillo I LópezEnvironment and Human Health Laboratory (EH2 Lab), Forest Science and Technology Center of Catalonia, Ctra. de St. Llorenç de Morunys, km 2, 25280 Solsona, Spain.ORCID 0000-0002-0903-4499
Albert BachEnvironment and Human Health Laboratory (EH2 Lab), Forest Science and Technology Center of Catalonia, Ctra. de St. Llorenç de Morunys, km 2, 25280 Solsona, Spain.ORCID 0000-0002-9824-9765
Isabel SerraCentre de Recerca Matemàtica, Edifici C, 08193 Bellaterra, Spain.ORCID 0000-0002-2465-8574
Joan Olivet-VilaHealth Promotion Service in Girona, Agency of Public Health of Catalonia, Generalitat of Catalonia, 17003 Girona, Spain.
Marc SaezResearch Group on Statistics, Econometrics and Health (GRECS), University of Girona, 17003 Girona, Spain.ORCID 0000-0003-1882-0157
David PinoDepartament of Physics, Universitat Politècnica de Catalunya·BarcelonaTech, Esteve Terrades 5, 08034 Castelldefels, Spain.ORCID 0000-0002-4512-0175
Roser ManejaEnvironment and Human Health Laboratory (EH2 Lab), Forest Science and Technology Center of Catalonia, Ctra. de St. Llorenç de Morunys, km 2, 25280 Solsona, Spain.ORCID 0000-0001-8690-1114
Forest Science and Technology Centre of Catalonia · ESUniversitat Autònoma de Barcelona · ESBarcelona Supercomputing Center · ESGeneralitat de Catalunya · ESInstitut d'Estudis Espacials de Catalunya · ESUniversitat de Girona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The heterogenous distribution of both COVID-19 incidence and mortality in Catalonia (Spain) during the firsts moths of the pandemic suggests that differences in baseline risk factors across regions might play a relevant role in modulating the outcome of the pandemic. This paper investigates the associations between both COVID-19 incidence and mortality and air pollutant concentration levels, and screens the potential effect of the type of agri-food industry and the overall land use and cover (LULC) at area level. We used a main model with demographic, socioeconomic and comorbidity covariates highlighted in previous research as important predictors. This allowed us to take a glimpse of the independent effect of the explanatory variables when controlled for the main model covariates. Our findings are aligned with previous research showing that the baseline features of the regions in terms of general health status, pollutant concentration levels (here NO

Indexed as

Air PollutantsAir PollutionCOVID-19HumansIncidenceParticulate MatterRisk FactorsSARS-CoV-2SpainTime FactorsAir PollutantsParticulate Matteragri-food industryair pollutantscancercardiovascular diseasesCOVID-19land use and land cover datapsychological disorders

Identifiers

PMID33916590
PMCPMC8038505
OpenAlexW3139707031

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.