Evidence map›Paper›PMID 40229385›Full record

ArticleScientific reports2025

Assessment of air pollution and mortality in Portugal using AirQ+ and the effects of COVID-19 on their relationship.

João Simões, Alexandra Bernardo, Luísa Lima Gonçalves, José Brito

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

4 authors.

João SimõesInstituto Universitário Egas Moniz (IUEM), Campus Universitário, Quinta da Granja, Monte de Caparica, 2829-511, Caparica, Portugal. jsimoes@egasmoniz.edu.pt.
Alexandra BernardoInstituto Universitário Egas Moniz (IUEM), Campus Universitário, Quinta da Granja, Monte de Caparica, 2829-511, Caparica, Portugal.
Luísa Lima GonçalvesInstituto Universitário Egas Moniz (IUEM), Campus Universitário, Quinta da Granja, Monte de Caparica, 2829-511, Caparica, Portugal.
José BritoInstituto Universitário Egas Moniz (IUEM), Campus Universitário, Quinta da Granja, Monte de Caparica, 2829-511, Caparica, Portugal.

Funding

Fundação para a Ciência e a Tecnologia UI/BD/154565/2023
6 · The paper itself

Abstract

This study uses the World Health Organization's AirQ+ model to assess the relationship between air pollution and mortality in Portugal from 2010 to 2021, focusing on the impact of the COVID-19 pandemic. By integrating AirQ+ with Linear Mixed Models, we analyzed long-term air pollution data and its health effects. Results indicate a significant decrease in [Formula: see text] and [Formula: see text] concentrations in 2020 and 2021 due to COVID-19 restrictions and reduced transportation emissions. Conversely, [Formula: see text] exposure slightly increased. The model estimates over 5000 annual deaths from [Formula: see text] and [Formula: see text] exposure and over 139 annual deaths from [Formula: see text]-related respiratory diseases for 2010-2021. Despite limitations like the need for better assessment of pollutant mixtures and climatic variables, the study shows a decrease in [Formula: see text]-related disease burden during the pandemic. These trends reflect anomalies in mortality and pollution data rather than policy improvements. The study underscores the utility of AirQ+ in guiding public health strategies and tracking progress toward the 2030 Agenda, offering insights into reducing mortality and morbidity through decreased air pollutant exposure and highlighting the need for sustained, multidimensional pollution reduction efforts.

Indexed as

Air PollutionCOVID-19Air PollutantsEnvironmental ExposureHumansPandemicsParticulate MatterPortugalSARS-CoV-2Air PollutantsParticulate Matter

Identifiers

PMID40229385
PMCPMC11997221

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.