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New Approaches to Identifying and Reducing the Global Burden of Disease From Pollution
Pollution from multiple sources causes significant disease and death worldwide. Some sources are legacy, such as heavy metals accumulated in soils, and some are current, such as particulate matter. Because the global burden of disease from pollution is so high, it is important to identify legacy and...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7097880/ https://www.ncbi.nlm.nih.gov/pubmed/32226911 http://dx.doi.org/10.1029/2018GH000167 |
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author | Filippelli, Gabriel Anenberg, Susan Taylor, Mark van Geen, Alexander Khreis, Haneen |
author_facet | Filippelli, Gabriel Anenberg, Susan Taylor, Mark van Geen, Alexander Khreis, Haneen |
author_sort | Filippelli, Gabriel |
collection | PubMed |
description | Pollution from multiple sources causes significant disease and death worldwide. Some sources are legacy, such as heavy metals accumulated in soils, and some are current, such as particulate matter. Because the global burden of disease from pollution is so high, it is important to identify legacy and current sources and to develop and implement effective techniques to reduce human exposure. But many limitations exist in our understanding of the distribution and transport processes of pollutants themselves, as well as the complicated overprint of human behavior and susceptibility. New approaches are being developed to identify and eliminate pollution in multiple environments. Community‐scale detection of geogenic arsenic and fluoride in Bangladesh is helping to map the distribution of these harmful elements in drinking water. Biosensors such as bees and their honey are being used to measure heavy metal contamination in cities such as Vancouver and Sydney. Drone‐based remote sensors are being used to map metal hot spots in soils from former mining regions in Zambia and Mozambique. The explosion of low‐cost air monitors has allowed researchers to build dense air quality sensing networks to capture ephemeral and local releases of harmful materials, building on other developments in personal exposure sensing. And citizen science is helping communities without adequate resources measure their own environments and in this way gain agency in controlling local pollution exposure sources and/or alerting authorities to environmental hazards. The future of GeoHealth will depend on building on these developments and others to protect a growing population from multiple pollution exposure risks. |
format | Online Article Text |
id | pubmed-7097880 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-70978802020-03-27 New Approaches to Identifying and Reducing the Global Burden of Disease From Pollution Filippelli, Gabriel Anenberg, Susan Taylor, Mark van Geen, Alexander Khreis, Haneen Geohealth Feature Articles Pollution from multiple sources causes significant disease and death worldwide. Some sources are legacy, such as heavy metals accumulated in soils, and some are current, such as particulate matter. Because the global burden of disease from pollution is so high, it is important to identify legacy and current sources and to develop and implement effective techniques to reduce human exposure. But many limitations exist in our understanding of the distribution and transport processes of pollutants themselves, as well as the complicated overprint of human behavior and susceptibility. New approaches are being developed to identify and eliminate pollution in multiple environments. Community‐scale detection of geogenic arsenic and fluoride in Bangladesh is helping to map the distribution of these harmful elements in drinking water. Biosensors such as bees and their honey are being used to measure heavy metal contamination in cities such as Vancouver and Sydney. Drone‐based remote sensors are being used to map metal hot spots in soils from former mining regions in Zambia and Mozambique. The explosion of low‐cost air monitors has allowed researchers to build dense air quality sensing networks to capture ephemeral and local releases of harmful materials, building on other developments in personal exposure sensing. And citizen science is helping communities without adequate resources measure their own environments and in this way gain agency in controlling local pollution exposure sources and/or alerting authorities to environmental hazards. The future of GeoHealth will depend on building on these developments and others to protect a growing population from multiple pollution exposure risks. John Wiley and Sons Inc. 2020-03-25 /pmc/articles/PMC7097880/ /pubmed/32226911 http://dx.doi.org/10.1029/2018GH000167 Text en ©2020. The Authors. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Feature Articles Filippelli, Gabriel Anenberg, Susan Taylor, Mark van Geen, Alexander Khreis, Haneen New Approaches to Identifying and Reducing the Global Burden of Disease From Pollution |
title | New Approaches to Identifying and Reducing the Global Burden of Disease From Pollution |
title_full | New Approaches to Identifying and Reducing the Global Burden of Disease From Pollution |
title_fullStr | New Approaches to Identifying and Reducing the Global Burden of Disease From Pollution |
title_full_unstemmed | New Approaches to Identifying and Reducing the Global Burden of Disease From Pollution |
title_short | New Approaches to Identifying and Reducing the Global Burden of Disease From Pollution |
title_sort | new approaches to identifying and reducing the global burden of disease from pollution |
topic | Feature Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7097880/ https://www.ncbi.nlm.nih.gov/pubmed/32226911 http://dx.doi.org/10.1029/2018GH000167 |
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