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Article

Translator Exposure APIs: Open Access to Data on Airborne Pollutant Exposures, Roadway Exposures, and Socio-Environmental Exposures and Use Case Application

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Environmental Sciences and Engineering Department, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
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Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC 27517, USA
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Kenan-Flagler Business School, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
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Institute for the Environment, University of North Carolina at Chapel Hill, Chapel Hill, NC 27517, USA
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National Institute of Environmental Health Sciences, Durham, NC 27709, USA
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Copperline Professional Solutions, Pittsboro, NC 27312, USA
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2020, 17(14), 5243; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph17145243
Received: 11 June 2020 / Revised: 10 July 2020 / Accepted: 16 July 2020 / Published: 21 July 2020
(This article belongs to the Section Environmental Analysis and Methods)
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. View Full-Text
Keywords: airborne pollutants; roadway exposure; demographic factors; socio-economic factors; asthma; asthma exacerbations; open data; application programming interfaces; environmental health; public health airborne pollutants; roadway exposure; demographic factors; socio-economic factors; asthma; asthma exacerbations; open data; application programming interfaces; environmental health; public health
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MDPI and ACS Style

Valencia, A.; Stillwell, L.; Appold, S.; Arunachalam, S.; Cox, S.; Xu, H.; Schmitt, C.P.; Schurman, S.H.; Garantziotis, S.; Xue, W.; Ahalt, S.C.; Fecho, K. Translator Exposure APIs: Open Access to Data on Airborne Pollutant Exposures, Roadway Exposures, and Socio-Environmental Exposures and Use Case Application. Int. J. Environ. Res. Public Health 2020, 17, 5243. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph17145243

AMA Style

Valencia A, Stillwell L, Appold S, Arunachalam S, Cox S, Xu H, Schmitt CP, Schurman SH, Garantziotis S, Xue W, Ahalt SC, Fecho K. Translator Exposure APIs: Open Access to Data on Airborne Pollutant Exposures, Roadway Exposures, and Socio-Environmental Exposures and Use Case Application. International Journal of Environmental Research and Public Health. 2020; 17(14):5243. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph17145243

Chicago/Turabian Style

Valencia, Alejandro, Lisa Stillwell, Stephen Appold, Saravanan Arunachalam, Steven Cox, Hao Xu, Charles P. Schmitt, Shepherd H. Schurman, Stavros Garantziotis, William Xue, Stanley C. Ahalt, and Karamarie Fecho. 2020. "Translator Exposure APIs: Open Access to Data on Airborne Pollutant Exposures, Roadway Exposures, and Socio-Environmental Exposures and Use Case Application" International Journal of Environmental Research and Public Health 17, no. 14: 5243. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph17145243

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