Publication

The use of bluetooth low energy Beacon systems to estimate indirect personal exposure to household air pollution

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Last modified
  • 08/19/2025
Type of Material
Authors
    Jiawen Liao, Emory UniversityJohn P. McCracken, Universidad del Valle de GuatemalaRicardo Piedrahita, Berkeley Air Monitoring GroupLisa Thompson, Emory UniversityErick Mollinedo, Universidad del Valle de GuatemalaEduardo Canuz, Universidad del Valle de GuatemalaOscar De Leon, Universidad del Valle de GuatemalaAnaite Diaz-Artiga, Universidad del Valle de GuatemalaMichael Johnson, Berkeley Air Monitoring GroupMaggie Clark, Colorado State UniversityAjay Pillarisetti, Emory UniversityKatherine Kearns, University of GeorgiaLuke Naeher, University of GeorgiaNelson Steenland, Emory UniversityWilliam Checkley, Johns Hopkins UniversityJennifer Peel, Colorado State UniversityThomas Clasen, Emory UniversityDana Barr, Emory UniversityHoward Chang, Emory UniversityLisa Elon, Emory UniversityPenelope Howards, Emory UniversityAzhar Nizam, Emory UniversityUsha Ramakrishnan, Emory UniversityP Barry Ryan, Emory UniversityJeremy Sarnat, Emory UniversitySheela Sinharoy, Emory UniversityLance Waller, Emory University
Language
  • English
Date
  • 2020-11-01
Publisher
  • SPRINGERNATURE
Publication Version
Copyright Statement
  • © 2019, The Author(s)
Final Published Version (URL)
Title of Journal or Parent Work
Volume
  • 30
Issue
  • 6
Start Page
  • 990
End Page
  • 1000
Grant/Funding Information
  • This study was supported through the National Heart, Lung, and Blood Institute/National Institutes of Health [1UM1HL134590-01] and Bill & Melinda Gates Foundation [OPP1131279]. A multidisciplinary, independent Data and Safety Monitoring Board (DSMB) appointed by the National Heart, Lung, and Blood Institute (NHLBI) monitors the quality of the data and protects the safety of patients enrolled in the HAPIN trial. NHLBI DSMB: Nancy R. Cook, Sc.D.; Stephen Hecht, Ph.D.; Catherine Karr, M.D., Ph.D.; Katie H. Kavounis, M.P.H.; Dong-Yun Kim, Ph.D.; Joseph Millum, Ph.D.; Lora A. Reineck, M.D., M.S.; Nalini Sathiakumar, M.D., Dr.P.H.; Paul K. Whelton, M.D.; Gail G. Weinmann, M.D. Program Coordination: Gail Rodgers, M.D., Bill & Melinda Gates Foundation; Claudia L. Thompson, Ph.D. National Institute of Environmental Health Science (NIEHS); Mark J. Parascandola, Ph.D., M.P.H., National Cancer Institute (NCI); Danuta M. Krotoski, Ph.D., Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD); Joshua P. Rosenthal, Ph.D. Fogarty International Center (FIC), Conception R. Nierras, Ph.D. NIH Office of Strategic Coordination Common Fund; Antonello Punturieri, M.D., Ph.D. and Barry S. Schmetter, National Heart, Lung, and Blood Institute (NHLBI). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health or Bill & Melinda Gates Foundation.
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Abstract
  • Household air pollution (HAP) generated from solid fuel combustion is a major health risk. Direct measurement of exposure to HAP is burdensome and challenging, particularly for children. In a pilot study of the Household Air Pollution Intervention Network (HAPIN) trial in rural Guatemala, we evaluated an indirect exposure assessment method that employs fixed continuous PM2.5 monitors, Bluetooth signal receivers in multiple microenvironments (kitchen, sleeping area and outdoor patio), and a wearable signal emitter to track an individual’s time within those microenvironments. Over a four-month period, we measured microenvironmental locations and reconstructed indirect PM2.5 exposures for women and children during two 24-h periods before and two periods after a liquefied petroleum gas (LPG) stove and fuel intervention delivered to 20 households cooking with woodstoves. Women wore personal PM2.5 monitors to compare direct with indirect exposure measurements. Indirect exposure measurements had high correlation with direct measurements (n = 62, Spearman ρ = 0.83, PM2.5 concentration range: 5–528 µg/m3). Indirect exposure had better agreement with direct exposure measurements (bias: −17 µg/m3) than did kitchen area measurements (bias: −89 µg/m3). Our findings demonstrate that indirect exposure reconstruction is a feasible approach to estimate personal exposure when direct assessment is not possible.
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