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Translator Exposure APIs: Open Access to Data on Airborne Pollutant Exposures, Roadway Exposures, and Socio-Environmental Exposures and Use Case Application
Environmental exposures have profound effects on health and disease. While public repositories exist for a variety of exposures data, these are generally difficult to access, navigate, and interpret. We describe the research, development, and application of three open application programming interfa...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7400024/ https://www.ncbi.nlm.nih.gov/pubmed/32708093 http://dx.doi.org/10.3390/ijerph17145243 |
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author | Valencia, Alejandro Stillwell, Lisa Appold, Stephen Arunachalam, Saravanan Cox, Steven Xu, Hao Schmitt, Charles P. Schurman, Shepherd H. Garantziotis, Stavros Xue, William Ahalt, Stanley C. Fecho, Karamarie |
author_facet | Valencia, Alejandro Stillwell, Lisa Appold, Stephen Arunachalam, Saravanan Cox, Steven Xu, Hao Schmitt, Charles P. Schurman, Shepherd H. Garantziotis, Stavros Xue, William Ahalt, Stanley C. Fecho, Karamarie |
author_sort | Valencia, Alejandro |
collection | PubMed |
description | Environmental exposures have profound effects on health and disease. While public repositories exist for a variety of exposures data, these are generally difficult to access, navigate, and interpret. We describe the research, development, and application of three open application programming interfaces (APIs) that support access to usable, nationwide, exposures data from three public repositories: airborne pollutant estimates from the US Environmental Protection Agency; roadway data from the US Department of Transportation; and socio-environmental exposures from the US Census Bureau’s American Community Survey. Three open APIs were successfully developed, deployed, and tested using random latitude/longitude values and time periods as input parameters. After confirming the accuracy of the data, we used the APIs to extract exposures data on 2550 participants from a cohort within the Environmental Polymorphisms Registry (EPR) at the National Institute of Environmental Health Sciences, and we successfully linked the exposure estimates with participant-level data derived from the EPR. We then conducted an exploratory, proof-of-concept analysis of the integrated data for a subset of participants with self-reported asthma and largely replicated our prior findings on the impact of select exposures and demographic factors on asthma exacerbations. Together, the three open exposures APIs provide a valuable resource, with application across environmental and public health fields. |
format | Online Article Text |
id | pubmed-7400024 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-74000242020-08-23 Translator Exposure APIs: Open Access to Data on Airborne Pollutant Exposures, Roadway Exposures, and Socio-Environmental Exposures and Use Case Application Valencia, Alejandro Stillwell, Lisa Appold, Stephen Arunachalam, Saravanan Cox, Steven Xu, Hao Schmitt, Charles P. Schurman, Shepherd H. Garantziotis, Stavros Xue, William Ahalt, Stanley C. Fecho, Karamarie Int J Environ Res Public Health Article Environmental exposures have profound effects on health and disease. While public repositories exist for a variety of exposures data, these are generally difficult to access, navigate, and interpret. We describe the research, development, and application of three open application programming interfaces (APIs) that support access to usable, nationwide, exposures data from three public repositories: airborne pollutant estimates from the US Environmental Protection Agency; roadway data from the US Department of Transportation; and socio-environmental exposures from the US Census Bureau’s American Community Survey. Three open APIs were successfully developed, deployed, and tested using random latitude/longitude values and time periods as input parameters. After confirming the accuracy of the data, we used the APIs to extract exposures data on 2550 participants from a cohort within the Environmental Polymorphisms Registry (EPR) at the National Institute of Environmental Health Sciences, and we successfully linked the exposure estimates with participant-level data derived from the EPR. We then conducted an exploratory, proof-of-concept analysis of the integrated data for a subset of participants with self-reported asthma and largely replicated our prior findings on the impact of select exposures and demographic factors on asthma exacerbations. Together, the three open exposures APIs provide a valuable resource, with application across environmental and public health fields. MDPI 2020-07-21 2020-07 /pmc/articles/PMC7400024/ /pubmed/32708093 http://dx.doi.org/10.3390/ijerph17145243 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Valencia, Alejandro Stillwell, Lisa Appold, Stephen Arunachalam, Saravanan Cox, Steven Xu, Hao Schmitt, Charles P. Schurman, Shepherd H. Garantziotis, Stavros Xue, William Ahalt, Stanley C. Fecho, Karamarie Translator Exposure APIs: Open Access to Data on Airborne Pollutant Exposures, Roadway Exposures, and Socio-Environmental Exposures and Use Case Application |
title | Translator Exposure APIs: Open Access to Data on Airborne Pollutant Exposures, Roadway Exposures, and Socio-Environmental Exposures and Use Case Application |
title_full | Translator Exposure APIs: Open Access to Data on Airborne Pollutant Exposures, Roadway Exposures, and Socio-Environmental Exposures and Use Case Application |
title_fullStr | Translator Exposure APIs: Open Access to Data on Airborne Pollutant Exposures, Roadway Exposures, and Socio-Environmental Exposures and Use Case Application |
title_full_unstemmed | Translator Exposure APIs: Open Access to Data on Airborne Pollutant Exposures, Roadway Exposures, and Socio-Environmental Exposures and Use Case Application |
title_short | Translator Exposure APIs: Open Access to Data on Airborne Pollutant Exposures, Roadway Exposures, and Socio-Environmental Exposures and Use Case Application |
title_sort | translator exposure apis: open access to data on airborne pollutant exposures, roadway exposures, and socio-environmental exposures and use case application |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7400024/ https://www.ncbi.nlm.nih.gov/pubmed/32708093 http://dx.doi.org/10.3390/ijerph17145243 |
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