Hidden hazards and screening policy: predicting undetected lead exposure in Illinois

Lead exposure still threatens children’s health despite policies aiming to identify lead exposure sources. Some US states require de jure universal screening while others target screening, but little research examines the relative benefits of these approaches. We link lead tests for children born in...

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Main Authors: Abbasi, A, Ditraglia, FJ, Gazze, L, Pals, B
Format: Journal article
Language:English
Published: Elsevier 2023
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author Abbasi, A
Ditraglia, FJ
Gazze, L
Pals, B
author_facet Abbasi, A
Ditraglia, FJ
Gazze, L
Pals, B
author_sort Abbasi, A
collection OXFORD
description Lead exposure still threatens children’s health despite policies aiming to identify lead exposure sources. Some US states require de jure universal screening while others target screening, but little research examines the relative benefits of these approaches. We link lead tests for children born in Illinois between 2010 and 2014 to geocoded birth records and potential exposure sources. We train a random forest regression model that predicts children’s blood lead levels (BLLs) to estimate the geographic distribution of undetected lead poisoning. We use these estimates to compare de jure universal screening against targeted screening. Because no policy achieves perfect compliance, we analyze different incremental screening expansions. We estimate that 5,819 untested children had a BLL ≥ 5 μg/dL, in addition to the 18,101 detected cases. 80% of these undetected cases should have been screened under the current policy. Model-based targeted screening can improve upon both the status quo and expanded universal screening.
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spelling oxford-uuid:7e1703bc-8db8-4fcc-8b81-528267817bfb2023-09-29T11:37:07ZHidden hazards and screening policy: predicting undetected lead exposure in IllinoisJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:7e1703bc-8db8-4fcc-8b81-528267817bfbEnglishSymplectic ElementsElsevier2023Abbasi, ADitraglia, FJGazze, LPals, BLead exposure still threatens children’s health despite policies aiming to identify lead exposure sources. Some US states require de jure universal screening while others target screening, but little research examines the relative benefits of these approaches. We link lead tests for children born in Illinois between 2010 and 2014 to geocoded birth records and potential exposure sources. We train a random forest regression model that predicts children’s blood lead levels (BLLs) to estimate the geographic distribution of undetected lead poisoning. We use these estimates to compare de jure universal screening against targeted screening. Because no policy achieves perfect compliance, we analyze different incremental screening expansions. We estimate that 5,819 untested children had a BLL ≥ 5 μg/dL, in addition to the 18,101 detected cases. 80% of these undetected cases should have been screened under the current policy. Model-based targeted screening can improve upon both the status quo and expanded universal screening.
spellingShingle Abbasi, A
Ditraglia, FJ
Gazze, L
Pals, B
Hidden hazards and screening policy: predicting undetected lead exposure in Illinois
title Hidden hazards and screening policy: predicting undetected lead exposure in Illinois
title_full Hidden hazards and screening policy: predicting undetected lead exposure in Illinois
title_fullStr Hidden hazards and screening policy: predicting undetected lead exposure in Illinois
title_full_unstemmed Hidden hazards and screening policy: predicting undetected lead exposure in Illinois
title_short Hidden hazards and screening policy: predicting undetected lead exposure in Illinois
title_sort hidden hazards and screening policy predicting undetected lead exposure in illinois
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AT ditragliafj hiddenhazardsandscreeningpolicypredictingundetectedleadexposureinillinois
AT gazzel hiddenhazardsandscreeningpolicypredictingundetectedleadexposureinillinois
AT palsb hiddenhazardsandscreeningpolicypredictingundetectedleadexposureinillinois