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by IQAC KIITKIIT Deemed to be University — Internal Quality Assurance Cell

Publication2021

Forecasting suicide rates in India: An empirical exposition

The record

Type
Publication
Date
1 July 2021
Level
National
Journal
Plos One
Volume
16
Issue
7 July
Published
1 July 2021
DOI
10.1371/journal.pone.0255342
Scopus ID
85111589537
ISSN
19326203
Authors
4
Open access
Yes
Citations
31
International co-authorship
No
Co-author countries
IN

Classification

Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.

UN Sustainable Development Goals

  1. 3 Ensure healthy lives and promote well-being for all at all ages

    GoalPrimaryHigh confidenceJudged

    ARIMA time series forecasting analysis of 50-year suicide data from India identifies rising trends and predicts continued increasing suicide cases without preventive intervention.

    High confidence
    The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
    Judged
    Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

Viksit Bharat @2047

  1. vb-1 Empowered Indians

    ThemePrimaryHigh confidenceJudged

    Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 3 label. ARIMA time series forecasting analysis of 50-year suicide data from India identifies rising trends and predicts continued increasing suicide cases without preventive intervention.

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

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KIIT Deemed to be University. “Forecasting suicide rates in India: An empirical exposition”. Kortex.

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Forecasting suicide rates in India: An empirical exposition · Kortex