Spatially varying associations between a small-area index of livability and mental health outcomes in New York City: A geographically weighted Poisson regression approach.

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Bibliographic Details
Title: Spatially varying associations between a small-area index of livability and mental health outcomes in New York City: A geographically weighted Poisson regression approach.
Authors: Agarwal K; Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (CUNY), New York, NY USA., Thompson RL; Department of Environmental, Occupational, and Geospatial Health Sciences, Graduate School of Public Health and Health Policy, City University of New York (CUNY), 55 West 125th Street, New York, NY 10017, USA., Johnson GD; Department of Environmental, Occupational, and Geospatial Health Sciences, Graduate School of Public Health and Health Policy, City University of New York (CUNY), 55 West 125th Street, New York, NY 10017, USA. Electronic address: glen.johnson@sph.cuny.edu.
Source: Spatial and spatio-temporal epidemiology [Spat Spatiotemporal Epidemiol] 2026 Jun; Vol. 57, pp. 100806. Date of Electronic Publication: 2026 Apr 01.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 101516571 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1877-5853 (Electronic) Linking ISSN: 18775845 NLM ISO Abbreviation: Spat Spatiotemporal Epidemiol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1877-5853
DOI:10.1016/j.sste.2026.100806