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The Imperial County Community Air Monitoring Network: A Model for Community-based Environmental Monitoring for Public Health Action
The Imperial County Community Air Monitoring Network (the Network) is a collaborative group of community, academic, nongovernmental, and government partners designed to fill the need for more detailed data on particulate matter in an area that often exceeds air quality standards. The Network employs...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Environmental Health Perspectives
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5744720/ https://www.ncbi.nlm.nih.gov/pubmed/28886604 http://dx.doi.org/10.1289/EHP1772 |
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author | English, Paul B. Olmedo, Luis Bejarano, Ester Lugo, Humberto Murillo, Eduardo Seto, Edmund Wong, Michelle King, Galatea Wilkie, Alexa Meltzer, Dan Carvlin, Graeme Jerrett, Michael Northcross, Amanda |
author_facet | English, Paul B. Olmedo, Luis Bejarano, Ester Lugo, Humberto Murillo, Eduardo Seto, Edmund Wong, Michelle King, Galatea Wilkie, Alexa Meltzer, Dan Carvlin, Graeme Jerrett, Michael Northcross, Amanda |
author_sort | English, Paul B. |
collection | PubMed |
description | The Imperial County Community Air Monitoring Network (the Network) is a collaborative group of community, academic, nongovernmental, and government partners designed to fill the need for more detailed data on particulate matter in an area that often exceeds air quality standards. The Network employs a community-based environmental monitoring process in which the community and researchers have specific, well-defined roles as part of an equitable partnership that also includes shared decision-making to determine study direction, plan research protocols, and conduct project activities. The Network is currently producing real-time particulate matter data from 40 low-cost sensors throughout Imperial County, one of the largest community-based air networks in the United States. Establishment of a community-led air network involves engaging community members to be citizen-scientists in the monitoring, siting, and data collection process. Attention to technical issues regarding instrument calibration and validation and electronic transfer and storage of data is also essential. Finally, continued community health improvements will be predicated on facilitating community ownership and sustainability of the network after research funds have been expended. https://doi.org/10.1289/EHP1772 |
format | Online Article Text |
id | pubmed-5744720 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Environmental Health Perspectives |
record_format | MEDLINE/PubMed |
spelling | pubmed-57447202017-12-31 The Imperial County Community Air Monitoring Network: A Model for Community-based Environmental Monitoring for Public Health Action English, Paul B. Olmedo, Luis Bejarano, Ester Lugo, Humberto Murillo, Eduardo Seto, Edmund Wong, Michelle King, Galatea Wilkie, Alexa Meltzer, Dan Carvlin, Graeme Jerrett, Michael Northcross, Amanda Environ Health Perspect Brief Communication The Imperial County Community Air Monitoring Network (the Network) is a collaborative group of community, academic, nongovernmental, and government partners designed to fill the need for more detailed data on particulate matter in an area that often exceeds air quality standards. The Network employs a community-based environmental monitoring process in which the community and researchers have specific, well-defined roles as part of an equitable partnership that also includes shared decision-making to determine study direction, plan research protocols, and conduct project activities. The Network is currently producing real-time particulate matter data from 40 low-cost sensors throughout Imperial County, one of the largest community-based air networks in the United States. Establishment of a community-led air network involves engaging community members to be citizen-scientists in the monitoring, siting, and data collection process. Attention to technical issues regarding instrument calibration and validation and electronic transfer and storage of data is also essential. Finally, continued community health improvements will be predicated on facilitating community ownership and sustainability of the network after research funds have been expended. https://doi.org/10.1289/EHP1772 Environmental Health Perspectives 2017-07-31 /pmc/articles/PMC5744720/ /pubmed/28886604 http://dx.doi.org/10.1289/EHP1772 Text en EHP is an open-access journal published with support from the National Institute of Environmental Health Sciences, National Institutes of Health. All content is public domain unless otherwise noted. |
spellingShingle | Brief Communication English, Paul B. Olmedo, Luis Bejarano, Ester Lugo, Humberto Murillo, Eduardo Seto, Edmund Wong, Michelle King, Galatea Wilkie, Alexa Meltzer, Dan Carvlin, Graeme Jerrett, Michael Northcross, Amanda The Imperial County Community Air Monitoring Network: A Model for Community-based Environmental Monitoring for Public Health Action |
title | The Imperial County Community Air Monitoring Network: A Model for Community-based Environmental Monitoring for Public Health Action |
title_full | The Imperial County Community Air Monitoring Network: A Model for Community-based Environmental Monitoring for Public Health Action |
title_fullStr | The Imperial County Community Air Monitoring Network: A Model for Community-based Environmental Monitoring for Public Health Action |
title_full_unstemmed | The Imperial County Community Air Monitoring Network: A Model for Community-based Environmental Monitoring for Public Health Action |
title_short | The Imperial County Community Air Monitoring Network: A Model for Community-based Environmental Monitoring for Public Health Action |
title_sort | imperial county community air monitoring network: a model for community-based environmental monitoring for public health action |
topic | Brief Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5744720/ https://www.ncbi.nlm.nih.gov/pubmed/28886604 http://dx.doi.org/10.1289/EHP1772 |
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