Evidence map›Paper›PMID 32330173›Full record

ArticlePloS one2020

Traffic exhaust to wildfires: PM2.5 measurements with fixed and portable, low-cost LoRaWAN-connected sensors.

Hugh Forehead, Johan Barthelemy, Bilal Arshad, Nicolas Verstaevel, Owen Price, Pascal Perez

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 2 institutions in 2 countries.

Hugh ForeheadSMART Infrastructure Facility, University of Wollongong, Wollongong, Australia.ORCID 0000-0001-7035-2894
Johan BarthelemySMART Infrastructure Facility, University of Wollongong, Wollongong, Australia.
Bilal ArshadSMART Infrastructure Facility, University of Wollongong, Wollongong, Australia.ORCID 0000-0002-6078-0235
Nicolas VerstaevelSMART Infrastructure Facility, University of Wollongong, Wollongong, Australia.ORCID 0000-0002-7879-6681
Owen PriceCentre for Sustainable Ecosystem Solutions, University of Wollongong, Wollongong, Australia.
Pascal PerezSMART Infrastructure Facility, University of Wollongong, Wollongong, Australia.
University of Wollongong · AUUniversité Toulouse III - Paul Sabatier · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Air pollution with PM2.5 (particulate matter smaller than 2.5 micro-metres in diameter) is a major health hazard in many cities worldwide, but since measuring instruments have traditionally been expensive, monitoring sites are rare and generally show only background concentrations. With the advent of low-cost, wirelessly connected sensors, air quality measurements are increasingly being made in places where many people spend time and pollution is much worse: on streets near traffic. In the interests of enabling members of the public to measure the air that they breathe, we took an open-source approach to designing a device for measuring PM2.5. Parts are relatively cheap, but of good quality and can be easily found in electronics or hardware stores, or on-line. Software is open source and the free LoRaWAN-based "The Things Network" the platform. A number of low-cost sensors we tested had problems, but those selected performed well when co-located with reference-quality instruments. A network of the devices was deployed in an urban centre, yielding valuable data for an extended time. Concentrations of PM2.5 at street level were often ten times worse than at air quality stations. The devices and network offer the opportunity for measurements in locations that concern the public.

Indexed as

Community ParticipationAir PollutantsAir PollutionCitiesEnvironmental MonitoringHumansLimit of DetectionNew South WalesParticulate MatterVehicle EmissionsWildfiresAir PollutantsParticulate MatterVehicle Emissions

Identifiers

PMID32330173
PMCPMC7182254
OpenAlexW3019461970

What Socratic 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 Socratic graph.