Work

Screening for Lead: Predictive Modeling of Indoor Dust Lead Concentrations and Possible Effects of Intervention

Year: 2022

Type: preprint

Source: SSRN Electronic Journal

DOI: 10.2139/ssrn.4210363

Authors: Matthew Dietrich, Cynthia F. Barlow, Jane A. Entwistle, Diana Meza-Figueroa, Chenyin Dong, Peggy Gunkel-Grillon, Khadija Jabeen, Lindsay Bramwell, John T. Shukle, Leah R. Wood, Ravi Naidu, Kara Fry, Mark Patrick Taylor, Gabriel M. Filippelli

Institutions: Indiana University – Purdue University Indianapolis, The University of Adelaide, Macquarie University, Northumbria University, Universidad de Sonora, Ministry of Ecology and Environment, South China Institute Of Environmental Sciences, University of New Caledonia, Institut de sciences exactes et appliquées, CRC CARE, Cooperative Research Centre for Contamination Assessment and Remediation of the Environment, University of Newcastle Australia, Environment Protection Authority Victoria, Indiana University Bloomington, Indiana University Indianapolis

Language: English

Topic: Heavy Metal Exposure and Toxicity

Subfield: Health, Toxicology and Mutagenesis

Field: Environmental Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Science Foundation, U.S. Department of Housing and Urban Development, Indiana University, Australian Government, Environmental Resilience Institute, Indiana University, Natural Environment Research Council, Division of Earth Sciences

Awards: GP-EXTRA: Building a new generation of urban environmental scholar-citizens through community-based programs for science and impact, G3408263828, The Home Biome Project (DUST). DUsty SecreTs: characterising, communicating and connecting the hidden world within our homes., EAR-PF: Environmental source apportionment and soil-household dust relationships of urban metal pollutants across different regions and seasons, G6943082027

OpenAlex ID: W4313657019

Cites: 28

Cited by: 8

Related to: 10