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Faith, Policy, and Suicide: A Machine Learning and Spatial Analysis Approach of Religious Affiliation and Suicide Rates in Toronto

AuthID
P-010-KFD

Author(s)

Vaz, E

Damásio, B

Cusimano, M

Document Type

Article

Year published

2024

Published

in HABITAT INTERNATIONAL, ISSN: 0197-3975

Volume: 150, Pages: 103119 (8)

Indexing

Wos^®

Scopus^®

Crossref^®

Google Scholar^®

Publication Identifiers

DOI: 10.1016/j.habitatint.2024.103119

Scopus: 2-s2.0-85196421337

Wos: WOS:001259460400001

Source Identifiers

ISSN: 0197-3975

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Faith, Policy, and Suicide: A Machine Learning and Spatial Analysis Approach of Religious Affiliation and Suicide Rates in Toronto

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Faith, Policy, and Suicide: A Machine Learning and Spatial Analysis Approach of Religious Affiliation and Suicide Rates in Toronto

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