Simulating the impact of greenspace exposure on metabolic biomarkers in a diverse population living in San Diego, California: A g-computation application
G-computation helps to simulate the potential health benefits of differential NDVI exposure and identifies which subpopulations can benefit most from targeted interventions aimed at minimizing health disparities.
Authors
- Nivedita Nukavarapu (ORCID: https://orcid.org/0000-0001-9736-916X)
- Anaïs Teyton (ORCID: https://orcid.org/0000-0001-7154-5540)
- Dorothy D. Sears (ORCID: https://orcid.org/0000-0002-9260-3540)
- Noémie Letellier (ORCID: https://orcid.org/0000-0002-6925-1217)
- Marta M. Jankowska (ORCID: https://orcid.org/0000-0002-8688-1181)
- Tarik Benmarhnia (ORCID: https://orcid.org/0000-0002-4018-3089)
- Jiue‐An Yang (ORCID: https://orcid.org/0000-0003-4246-0470)
Institutions
- City Of Hope National Medical Center (US)
- Scripps Institution of Oceanography (US)
- Inserm (FR)
- École des Hautes Études en Santé Publique (FR)
- San Diego State University (US)
- University of California San Diego (US)
- Institut de Recherche en Santé, Environnement et Travail (FR)
- City of Hope (US)
- Human Longevity (United States) (US)
- Beckman Research Institute
- Arizona State University (US)
- Université de Rennes (FR)
Publication Details
- Journal
- Environmental Epidemiology
- Published
- 2024-08-01
- DOI
- https://doi.org/10.1097/ee9.0000000000000326
- Primary Topic
- Urban Transport and Accessibility
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Cancer Institute