Evidence map›Paper›PMID 37765759›Full record

ArticleSensors (Basel, Switzerland)2023

Monitoring Sensors for Urban Air Quality: The Case of the Municipality of Lisbon.

Rodrigo Sarroeira, João Henriques, Ana M Sousa, Catarina Ferreira da Silva, Nuno Nunes, Sérgio Moro, Maria do Carmo Botelho

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

7 authors.

Rodrigo SarroeiraISTAR, Instituto Universitário de Lisboa (ISCTE-IUL), 1649-026 Lisboa, Portugal.
João HenriquesCIES, Instituto Universitário de Lisboa (ISCTE-IUL), 1649-026 Lisboa, Portugal.
Ana M SousaCERENA, Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisboa, Portugal.ORCID 0000-0003-2869-2195
Catarina Ferreira da SilvaISTAR, Instituto Universitário de Lisboa (ISCTE-IUL), 1649-026 Lisboa, Portugal.ORCID 0000-0003-3222-081X
Nuno NunesCIES, Instituto Universitário de Lisboa (ISCTE-IUL), 1649-026 Lisboa, Portugal.ORCID 0000-0003-0337-6145
Sérgio MoroISTAR, Instituto Universitário de Lisboa (ISCTE-IUL), 1649-026 Lisboa, Portugal.ORCID 0000-0002-4861-6686
Maria do Carmo BotelhoCIES, Instituto Universitário de Lisboa (ISCTE-IUL), 1649-026 Lisboa, Portugal.

Funding

European Union 101071330 - project InCITIESFundação para a Ciência e Tecnologia UIDB/04466/2020, UIDP/04466/2020, UIDB/03126/2020
6 · The paper itself

Abstract

Air pollution is a global issue that impacts environmental inequalities, and air quality sensors can have a decisive role in city policymaking for future cities. Science and society are already aware that during the most challenging times of COVID-19, the levels of air pollution in cities decreased, especially during lockdowns, when road traffic was reduced. Several pollution parameters can be used to analyse cities' environmental challenges, and it is more pressing than ever to have city climate decisions supported by sensor data. We have applied a data science approach to understand the evolution of the levels of carbon monoxide, nitrogen dioxide, particulate matter 2.5, and particulate matter 10 between August 2021 and July 2022. The analysis of the air quality levels, captured for the first time via 80 monitoring stations distributed throughout the municipality of Lisbon, has allowed us to realize that nitrogen dioxide and particulate matter 10 exceed the levels that are recommended by the World Health Organization, thereby increasing the health risk for those who live and work in Lisbon. Supported by these findings, we propose a central role for air quality sensors for policymaking in future cities, taking as a case study the municipality of Lisbon, Portugal, which is among the European cities that recently proposed be climate-neutral and smart city by 2030.

Indexed as

Air PollutantsAir PollutionEnvironmental MonitoringCarbon MonoxideCitiesCOVID-19HumansNitrogen DioxideParticulate MatterPortugalSARS-CoV-2Air PollutantsCarbon MonoxideNitrogen DioxideParticulate Matterair pollutionair quality sensorsdata analysisenvironmental inequalitiesfuture citieshealthmunicipality of Lisbonsmart cities

Identifiers

PMID37765759
PMCPMC10537901

What OpenQuestion holds

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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.