Work

An algorithm for quantitatively estimating non-occupational pesticide exposure intensity for spouses in the Agricultural Health Study

Year: 2018

Type: article

Source: Journal of Exposure Science & Environmental Epidemiology

DOI: 10.1038/s41370-018-0088-z

Authors: Nicole C. Deziel, Laura E Beane Freeman, Jane A. Hoppin, Kent Thomas, Catherine C. Lerro, Rena R. Jones, Cynthia J. Hines, Aaron Blair, Barry I. Graubard, Jay H. Lubin, Dale P. Sandler, Honglei Chen, Gabriella Andreotti, Michael C. Alavanja, Melissa C. Friesen

Institutions: National Institutes of Health, Yale University, National Cancer Institute, Division of Cancer Epidemiology and Genetics, North Carolina State University, Environmental Protection Agency, National Institute for Occupational Safety and Health, National Institute of Environmental Health Sciences, Michigan State University

Language: English

Topic: Pesticide Exposure and Toxicity

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDGs: Good health and well-being, Zero hunger

Open Access status: green

Funders: National Institutes of Health, National Center for Advancing Translational Sciences

Awards: G1044130170, G9000000306, G9000259169, G9000284774, Yale Clinical and Translational Science Award

OpenAlex ID: W2898738435

FWCI: 1.619

Cites: 66

Cited by: 21

Related to: 10