Work

Using socially-sensed data to infer ZIP level characteristics for the spatiotemporal analysis of drug-related health problems in Maryland

Year: 2020

Type: article

Source: Health & Place

DOI: 10.1016/j.healthplace.2020.102345

Authors: Yanjia Cao, Kathleen Stewart, Julie Factor, Amy Billing, Ebonie Massey, Eleanor Artigiani, Michael Wagner, Zachary Dezman, Eric Wish

Institutions: Stanford Medicine, Stanford University, University of Maryland, College Park, University of Maryland, Baltimore

Language: English

Topic: Opioid Use Disorder Treatment

Subfield: Public Health, Environmental and Occupational Health

Field: Medicine

Domain: Health Sciences

SDGs: Good health and well-being, Sustainable cities and communities

Open Access status: closed

Funders: University of Maryland, National Institutes of Health, National Institute on Drug Abuse

Award: NDEWS: A New Paradigm for Drug Early Warning Systems

OpenAlex ID: W3020895724

FWCI: 1.816

Cites: 86

Cited by: 11

Related to: 10