Evidence map›Paper›PMID 32050428›Full record

ArticleInternational journal of environmental research and public health2020

Community-Engaged Air Monitoring to Build Resilience Near the US-Mexico Border.

Michelle Wong, Alexa Wilkie, Catalina Garzón-Galvis, Galatea King, Luis Olmedo, Esther Bejarano, Humberto Lugo, Dan Meltzer, Daniel Madrigal, Mariana Claustro and 1 more

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Engaging communities in addressing air quality: a scoping review.Environmental health : a global access science source · 2022
    Article
  4. The Role of Citizen Science in Promoting Health Equity.Annual review of public health · 2022
    Review
  5. 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

11 authors at 3 institutions in 1 country.

Michelle WongTracking California, Public Health Institute, 555 12th St, Oakland, CA 94607, USA.
Alexa WilkieTracking California, Public Health Institute, 555 12th St, Oakland, CA 94607, USA.
Catalina Garzón-GalvisTracking California, Public Health Institute, 555 12th St, Oakland, CA 94607, USA.
Galatea KingTracking California, Public Health Institute, 555 12th St, Oakland, CA 94607, USA.
Luis OlmedoComite Civico del Valle, 235 Main St, Brawley, CA 92227, USA.
Esther BejaranoComite Civico del Valle, 235 Main St, Brawley, CA 92227, USA.
Humberto LugoComite Civico del Valle, 235 Main St, Brawley, CA 92227, USA.
Dan MeltzerTracking California, Public Health Institute, 555 12th St, Oakland, CA 94607, USA.
Daniel MadrigalTracking California, Public Health Institute, 555 12th St, Oakland, CA 94607, USA.
Mariana ClaustroComite Civico del Valle, 235 Main St, Brawley, CA 92227, USA.
Paul EnglishCalifornia Department of Public Health, 850 Marina Bay Pkwy P-3, Richmond, CA 94804, USA.ORCID 0000-0003-1790-9926
Public Health Institute · USClinicas de Salud del Pueblo · USCalifornia Department of Public Health · US

Funding

Use of Community-Based Mapping and Monitoring to Reduce Air Pollution ExposuresR01ES022722 · NIEHS · PUBLIC HEALTH INSTITUTE · PI ENGLISH, PAUL B · 2014 to 2017
$2.3M
NIEHS NIH HHS 3R01ES022722-04S1NIEHS NIH HHS R01ES022722
6 · The paper itself

Abstract

Initiated in response to community concerns about high levels of air pollution and asthma, the Imperial County Community Air Monitoring Project was conducted as a collaboration between a community-based organization, a non-governmental environmental health program, and academic researchers. This community-engaged research project aimed to produce real-time, community-level air quality information through the establishment of a community air monitoring network (CAMN) of 40 low-cost particulate matter (PM) monitors in Imperial County, California. Methods used to involve the community partner organization and residents in the development, operation, and use of the CAMN included the following: (1) establishing equitable partnerships among the project collaborators; (2) forming a community steering committee to guide project activities; (3) engaging residents in data collection to determine monitor sites; (4) providing hands-on training to assemble and operate the air monitors; (5) conducting focus groups to guide display and dissemination of monitoring data; and (6) conducting trainings on community action planning. This robust community engagement in the project resulted in increased awareness, knowledge, capacity, infrastructure, and influence for the community partner organization and among community participants. Even after the conclusion of the original research grant funding for this project, the CAMN continues to be operated and sustained by the community partner, serving as a community resource used by residents, schools, researchers, and others to better understand and address air pollution and its impacts on community health, while strengthening the ability of the community to prepare for, respond to, and recover from harmful air pollution.

Indexed as

Air PollutantsAir PollutionCaliforniaCommunity-Based Participatory ResearchCommunity ParticipationEnvironmental MonitoringHumansMexicoParticulate MatterAir PollutantsParticulate Matterair monitoringair qualitycitizen sciencecommunity air monitoring networkcommunity-based participatory researchcommunity-engaged researchcommunity engagementcommunity resiliencelow costmonitorssensors

Identifiers

PMID32050428
PMCPMC7037815
OpenAlexW3004551449

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.