Identifying Asbestos-Containing Materials in Homes: Design and Development of the ACM Check Mobile Phone App

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Works citing "Identifying Asbestos-Containing Materials in Homes: Design and Development of the ACM Check Mobile Phone App"

Matthew Hayden Govorko, Lin Fritschi, James White, Alison Reid

JMIR Form Res 2017 (Dec 14); 1(1):e7

According to Crossref, the following articles are citing this article (DOI 10.2196/formative.8370):

(note that this is only a small subset of citations)

Govorko M, Fritschi L, Reid A. Using a Mobile Phone App to Identify and Assess Remaining Stocks of In Situ Asbestos in Australian Residential Settings. International Journal of Environmental Research and Public Health 2019;16(24):4922
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Govorko MH, Fritschi L, Reid A. Accuracy of a mobile app to identify suspect asbestos-containing material in Australian residential settings. Journal of Occupational and Environmental Hygiene 2018;15(8):598
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Wu P, Mjörnell K, Mangold M, Sandels C, Johansson T. A Data-Driven Approach to Assess the Risk of Encountering Hazardous Materials in the Building Stock Based on Environmental Inventories. Sustainability 2021;13(14):7836
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Bloise A, Miriello D. Distinguishing asbestos cement from fiber-reinforced cement through portable µ-Raman spectroscopy and portable X-ray fluorescence. Environmental Monitoring and Assessment 2022;194(10)
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Wu P, Sandels C, Johansson T, Mangold M, Kristina Mjörnell . Machine learning models for the prediction of polychlorinated biphenyls and asbestos materials in buildings. Resources, Conservation and Recycling 2023;199:107253
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