Work

Application of data science methods to identify school and home risk factors for asthma and allergy-related symptoms among children in New York

Year: 2021

Type: article

Study design: Observational Study

Source: The Science of The Total Environment

DOI: 10.1016/j.scitotenv.2020.144746

Authors: Xinlei Deng, George Thurston, Wangjian Zhang, Ian Ryan, Connie Jiang, Haider Khwaja, Xiaobo Romeiko, Tia Marks, Bo Ye, Yanji Qu, Shao Lin

Institutions: University at Albany, State University of New York, New York University, University of Virginia, New York State Department of Health, Wadsworth Center, Guangdong Academy of Medical Sciences, Guangdong Provincial People's Hospital

Language: English

Topic: Asthma and respiratory diseases

Subfield: Physiology (medical)

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: U.S. Environmental Protection Agency

Award: G874191929

OpenAlex ID: W3125860879

FWCI: 2.752

Cites: 40

Cited by: 24

Related to: 10