Evidence map›Paper›PMID 40573460›Full record

ReviewSensors (Basel, Switzerland)2025

Secure and Trusted Crowdsensing for Outdoor Air Quality Monitoring: State of the Art and Perspectives.

Claudio Marche, Emmanuele Massidda, Alessandro Sanna, Gianmarco Angius, Michele Nitti, Davide Maiorca, Stefano Lai

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2025. 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

7 authors.

Claudio MarcheDepartment of Electrical and Electronic Engineering (DIEE), University of Cagliari, 09123 Cagliari, Italy.ORCID 0000-0002-1017-9046
Emmanuele MassiddaDepartment of Electrical and Electronic Engineering (DIEE), University of Cagliari, 09123 Cagliari, Italy.ORCID 0009-0003-9190-5648
Alessandro SannaDepartment of Electrical and Electronic Engineering (DIEE), University of Cagliari, 09123 Cagliari, Italy.
Gianmarco AngiusDepartment of Electrical and Electronic Engineering (DIEE), University of Cagliari, 09123 Cagliari, Italy.
Michele NittiDepartment of Electrical and Electronic Engineering (DIEE), University of Cagliari, 09123 Cagliari, Italy.ORCID 0000-0002-7832-7121
Davide MaiorcaDepartment of Electrical and Electronic Engineering (DIEE), University of Cagliari, 09123 Cagliari, Italy.ORCID 0000-0003-2640-4663
Stefano LaiDepartment of Electrical and Electronic Engineering (DIEE), University of Cagliari, 09123 Cagliari, Italy.ORCID 0000-0002-2359-1865

Funding

European Community under the NextGenerationEU program, D.M. 737/2021 Linea d'intervento Iniziative di ricerca interdisciplinare su temi di rilievo trasversale per il PNR
6 · The paper itself

Abstract

Air pollution is a major problem in the modern world; although it particularly impacts developing countries, which are experiencing fast and often uncontrolled industrialization, its effects constitute a global burden on the environment and health. At the same time, the costs of effective air quality monitoring programs are prohibitive for emerging economies, thus making any correction difficult to assess. Emerging technologies, such as distributed networks of sensors organized in the Internet of Things, are under the lens of scientific and industrial communities as a valuable, low-cost alternative to standard techniques. In this paper, we report a review of current approaches to distributed air quality monitoring. Specifically, we

Indexed as

environmenthealthmobile crowdsensingoutdoor air quality monitoringsecuretrusted

Identifiers

PMID40573460
PMCPMC12197124

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.