@article{ref1,
title="Exploring cause-specific strategies for suicide prevention in India: a multivariate VARMA approach",
journal="Asian journal of psychiatry",
year="2023",
author="Anjali,  and B, Rushi Kumar",
volume="92",
number="",
pages="e103871-e103871",
abstract="Efficiently predicting suicide rates aids resource allocation and response preparedness. This study investigates time-series data with multiple variables to model and forecast suicide events in India. Utilizing official suicide statistics (2001-2021), results highlight the superiority of the multivariate VARMA model over VAR and univariate ARIMA models. This approach uncovers overlooked patterns and a concerning upward trend in future Indian suicide incidents. The research provides insights that aid public health professionals in targeting high-need areas and enhancing readiness and suggests cause-specific preventive strategies to counter this trend.<p /> <p>Language: en</p>",
language="en",
issn="1876-2018",
doi="10.1016/j.ajp.2023.103871",
url="http://dx.doi.org/10.1016/j.ajp.2023.103871"
}