Work

Big Data and Systems Methods: The Next Frontier to Tackling the Global Obesity Epidemic

Year: 2021

Type: article

Abstract: The authors declared no conflict of interest.

Source: Obesity

DOI: 10.1002/oby.23062

Authors: Bruce Y. Lee, Marie C. Ferguson, Sarah N. Cox, Phillip H. Phan

Institutions: Johns Hopkins University, City University of New York, CUNY Graduate School of Public Health and Health Policy

Language: English

Topic: Obesity, Physical Activity, Diet

Subfield: Public Health, Environmental and Occupational Health

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: United States Agency for International Development, Australian Agency for International Development, National Institute of General Medical Sciences, Eunice Kennedy Shriver National Institute of Child Health and Human Development

Awards: Early Life Determinants of Obesity in U.S. Urban Low Income Minority Birth Cohort, G536632061, Regional Healthcare Ecosystem Analyst (RHEA) Modeling the Environment (MODE), Virtual Population Obesity Prevention (VPOP) Labs: Computational, Multi-Scale Models for Obesity Solutions, SYSTEM AND COMPLEXITY MONITORING, EVALUATION, RESEARCH, AND LEARNING (SYSTEM, Johns Hopkins Pediatric Obesity Research and Training Center

OpenAlex ID: W3120717147

FWCI: 1.297

Cites: 10

Cited by: 10

Related to: 10