A mass-balance model to assess arsenic exposure from multiple wells in Bangladesh.

ABSTRACT:

Background

Water arsenic (As) sources beyond a rural household's primary well may be a significant source for certain individuals, including schoolchildren and men working elsewhere.

Objective

To improve exposure assessment by estimating the fraction of drinking water that comes from wells other than the household's primary well in a densely populated area.

Methods

We use well water and urinary As data collected in 2000-2001 within a 25 km² area of Araihazar upazila, Bangladesh, for 11,197 participants in the Health Effects of Arsenic Longitudinal Study (HEALS). We estimate the fraction of water that participants drink from different wells by imposing a long-term mass-balance constraint for both As and water.

Results

The mass-balance model suggest th

SUBMITTER: Huhmann LB 

PROVIDER: S-EPMC8989717 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature