This paper is in the following e-collection/theme issue:

Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) JMIR Theme Issue: COVID-19 Special Issue (2452) Infodemiology and Infoveillance (1349) Depression and Mood Disorders; Suicide Prevention (1363) Surveillance Systems (462) Innovative Methods in Public Health and Surveillance (332) Methods and New Tools in Mental Health Research (454) JMH Theme Issue: COVID-19 and Mental Health: Impact and Interventions (383) Statistical Methods for Surveillance and Population Health (156)

Published on in Vol 7, No 12 (2021): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34016, first published .
Predicting the Number of Suicides in Japan Using Internet Search Queries: Vector Autoregression Time Series Model

Predicting the Number of Suicides in Japan Using Internet Search Queries: Vector Autoregression Time Series Model

Predicting the Number of Suicides in Japan Using Internet Search Queries: Vector Autoregression Time Series Model

Authors of this article:

Kazuya Taira1 Author Orcid Image ;   Rikuya Hosokawa1 Author Orcid Image ;   Tomoya Itatani2 Author Orcid Image ;   Sumio Fujita3 Author Orcid Image
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