Literature DB >> 28259435

Monitoring the aftermath of Flint drinking water contamination crisis: Another case of sampling bias?

Pierre Goovaerts1.   

Abstract

The delay in reporting high levels of lead in Flint drinking water, following the city's switch to the Flint River as its water supply, was partially caused by the biased selection of sampling sites away from the lead pipe network. Since Flint returned to its pre-crisis source of drinking water, the State has been monitoring water lead levels (WLL) at selected "sentinel" sites. In a first phase that lasted two months, 739 residences were sampled, most of them bi-weekly, to determine the general health of the distribution system and to track temporal changes in lead levels. During the same period, water samples were also collected through a voluntary program whereby concerned citizens received free testing kits and conducted sampling on their own. State officials relied on the former data to demonstrate the steady improvement in water quality. A recent analysis of data collected by voluntary sampling revealed, however, an opposite trend with lead levels increasing over time. This paper looks at potential sampling bias to explain such differences. Although houses with higher WLL were more likely to be sampled repeatedly, voluntary sampling turned out to reproduce fairly well the main characteristics (i.e. presence of lead service lines (LSL), construction year) of Flint housing stock. State-controlled sampling was less representative; e.g., sentinel sites with LSL were mostly built between 1935 and 1950 in lower poverty areas, which might hamper our ability to disentangle the effects of LSL and premise plumbing (lead fixtures and pipes present within old houses) on WLL. Also, there was no sentinel site with LSL in two of the most impoverished wards, including where the percentage of children with elevated blood lead levels tripled following the switch in water supply. Correcting for sampling bias narrowed the gap between sampling programs, yet overall temporal trends are still opposite.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Blood lead levels; Lead service lines; Lead-and-copper rule; Poverty; Sampling bias

Mesh:

Substances:

Year:  2017        PMID: 28259435      PMCID: PMC5404391          DOI: 10.1016/j.scitotenv.2017.02.183

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  4 in total

1.  Elevated blood lead in young children due to lead-contaminated drinking water: Washington, DC, 2001-2004.

Authors:  Marc Edwards; Simoni Triantafyllidou; Dana Best
Journal:  Environ Sci Technol       Date:  2009-03-01       Impact factor: 9.028

2.  The lead industry and lead water pipes "A Modest Campaign".

Authors:  Richard Rabin
Journal:  Am J Public Health       Date:  2008-07-16       Impact factor: 9.308

3.  Elevated Blood Lead Levels in Children Associated With the Flint Drinking Water Crisis: A Spatial Analysis of Risk and Public Health Response.

Authors:  Mona Hanna-Attisha; Jenny LaChance; Richard Casey Sadler; Allison Champney Schnepp
Journal:  Am J Public Health       Date:  2015-12-21       Impact factor: 9.308

4.  The drinking water contamination crisis in Flint: Modeling temporal trends of lead level since returning to Detroit water system.

Authors:  Pierre Goovaerts
Journal:  Sci Total Environ       Date:  2016-10-05       Impact factor: 7.963

  4 in total
  5 in total

1.  Environmental racism and the need for private well protections.

Authors:  Anne E Nigra
Journal:  Proc Natl Acad Sci U S A       Date:  2020-07-08       Impact factor: 11.205

2.  How geostatistics can help you find lead and galvanized water service lines: The case of Flint, MI.

Authors:  Pierre Goovaerts
Journal:  Sci Total Environ       Date:  2017-05-18       Impact factor: 7.963

3.  Water lead exposure risk in Flint, Michigan after switchback in water source: Implications for lead service line replacement policy.

Authors:  Sammy Zahran; David Mushinski; Shawn P McElmurry; Christopher Keyes
Journal:  Environ Res       Date:  2019-11-19       Impact factor: 6.498

4.  Geostatistical prediction of water lead levels in Flint, Michigan: A multivariate approach.

Authors:  Pierre Goovaerts
Journal:  Sci Total Environ       Date:  2018-08-01       Impact factor: 7.963

5.  Associations of Community Water Lead Concentrations with Hemoglobin Concentrations and Erythropoietin-Stimulating Agent Use among Patients with Advanced CKD.

Authors:  John Danziger; Kenneth J Mukamal; Eric Weinhandl
Journal:  J Am Soc Nephrol       Date:  2021-07-15       Impact factor: 14.978

  5 in total

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