Literature DB >> 25181048

Human health risk assessment with spatial analysis: study of a population chronically exposed to arsenic through drinking water from Argentina.

J A Navoni1, D De Pietri2, V Olmos3, C Gimenez4, G Bovi Mitre5, E de Titto6, E C Villaamil Lepori3.   

Abstract

Arsenic (As) is a ubiquitous element widely distributed in the environment. This metalloid has proven carcinogenic action in man. The aim of this work was to assess the health risk related to As exposure through drinking water in an Argentinean population, applying spatial analytical techniques in addition to conventional approaches. The study involved 650 inhabitants from Chaco and Santiago del Estero provinces. Arsenic in drinking water (Asw) and urine (UAs) was measured by hydride generation atomic absorption spectrophotometry. Average daily dose (ADD), hazard quotient (HQ), and carcinogenic risk (CR) were estimated, geo-referenced and integrated with demographical data by a health composite index (HI) applying geographic information system (GIS) analysis. Asw covered a wide range of concentration: from non-detectable (ND) to 2000 μg/L. More than 90% of the population was exposed to As, with UAs levels above the intervention level of 100 μg/g creatinine. GIS analysis described an expected level of exposure lower than the observed, indicating possible additional source/s of exposure to inorganic arsenic. In 68% of the locations, the population had a HQ greater than 1, and the CR ranged between 5·10(-5) and 2,1·10(-2). An environmental exposure area through ADD geo-referencing defined a baseline scenario for space-time risk assessment. The time of residence, the demographic density and the potential health considered outcomes helped characterize the health risk in the region. The geospatial analysis contributed to delimitate and analyze the change tendencies of risk in the region, broadening the scopes of the results for a decision-making process.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Arsenic; Geographic information systems; Public health; Risk assessment; Water pollution

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Substances:

Year:  2014        PMID: 25181048     DOI: 10.1016/j.scitotenv.2014.08.058

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


  4 in total

1.  Transference factors as a tool for the estimation of arsenic milk concentration.

Authors:  Alejo Pérez-Carrera; Cristina V Alvarez-Gonçalvez; Alicia Fernández-Cirelli
Journal:  Environ Sci Pollut Res Int       Date:  2016-05-07       Impact factor: 4.223

2.  Health effects of arsenic exposure in Latin America: An overview of the past eight years of research.

Authors:  Khalid M Khan; Rishika Chakraborty; Jochen Bundschuh; Prosun Bhattacharya; Faruque Parvez
Journal:  Sci Total Environ       Date:  2019-12-12       Impact factor: 7.963

Review 3.  The use of bacterial bioremediation of metals in aquatic environments in the twenty-first century: a systematic review.

Authors:  Feliphe Lacerda Souza de Alencar; Julio Alejandro Navoni; Viviane Souza do Amaral
Journal:  Environ Sci Pollut Res Int       Date:  2017-05-24       Impact factor: 4.223

4.  Using Watershed Boundaries to Map Adverse Health Outcomes: Examples From Nebraska, USA.

Authors:  Brittany Corley; Shannon Bartelt-Hunt; Eleanor Rogan; Donald Coulter; John Sparks; Lorena Baccaglini; Madeline Howell; Sidra Liaquat; Rex Commack; Alan S Kolok
Journal:  Environ Health Insights       Date:  2018-01-24
  4 in total

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