Quantifying suicide contagion at population scale.


Journal

Science advances
ISSN: 2375-2548
Titre abrégé: Sci Adv
Pays: United States
ID NLM: 101653440

Informations de publication

Date de publication:
02 Aug 2024
Historique:
medline: 31 7 2024
pubmed: 31 7 2024
entrez: 31 7 2024
Statut: ppublish

Résumé

The spread of suicidal behavior among individuals is often described as a contagion; however, rigorous modeling of suicide as a dynamic, contagious process is minimal. Here, we develop and validate a model-inference system depicting suicide ideation and death and use it to quantify the contagion processes in the US associated with two prominent celebrity suicide events: Robin Williams during 2014 and Kate Spade and Anthony Bourdain, which occurred 3 days apart during 2018. We show that both events produced large transient increases of suicide contagion contact rates, i.e., the spread of suicidal thought and behavior, and a period of elevated suicidal ideation in the general population. Our modeling approach provides a framework for quantifying suicidal contagion and better understanding, preventing, and containing its spread.

Identifiants

pubmed: 39083618
doi: 10.1126/sciadv.adq4074
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

eadq4074

Auteurs

Jeffrey Shaman (J)

Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY 10032, USA.
Columbia Climate School, Columbia University, New York, NY 10025, USA.

Sasikiran Kandula (S)

Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY 10032, USA.

Sen Pei (S)

Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY 10032, USA.

Marta Galanti (M)

Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY 10032, USA.

Mark Olfson (M)

Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY 10032, USA.
Department of Psychiatry, Columbia University, New York, NY 10032, USA.

Madelyn Gould (M)

Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY 10032, USA.
Department of Psychiatry, Columbia University, New York, NY 10032, USA.

Katherine Keyes (K)

Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY 10032, USA.

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Classifications MeSH