Evidence map›Paper›PMID 34324554›Full record

ArticlePloS one2021

Forecasting suicide rates in India: An empirical exposition.

Prafulla Kumar Swain, Manas Ranjan Tripathy, Subhadra Priyadarshini, Subhendu Kumar Acharya

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Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Suicides in India: A Forecasting for Immediate Investment to Save Lives.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Review
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Prafulla Kumar SwainDepartment of Statistics, Utkal University, Bhubaneswar, Odisha, India.
Manas Ranjan TripathyDepartment of Statistics, Ravenshaw University, Cuttack, Odisha, India.
Subhadra PriyadarshiniDepartment of Statistics, Utkal University, Bhubaneswar, Odisha, India.
Subhendu Kumar AcharyaICMR-Regional Medical Research Centre, Bhubaneswar, Odisha, India.ORCID 0000-0003-0188-6950

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSuicide is a major social and health issue in India. Yearly statistics show a concerning increasing pattern of suicidal deaths in India which is higher in comparison to the global trend. There is limited evidence regarding historical analysis of suicide or any forecasting for suicide in India towards predicting the possible risks of death due to suicide.

methodsThis paper examines the trend of suicide rate and characteristics of suicide victims in India, based on the longitudinal time series data over the last 50 years-collected from the National Crime Record Bureau Reports (1969 to 2018) of the Government of India. In our analysis, we have used the time series model to forecast the suicide rates in India for the next decade. ARIMA (4,1,0) model is found to be the best fit model for forecasting the data.

findingsThere has been an observable and rising trend of suicide rates in India over the last five decades. The forecast indicates a continuance of rising suicide cases for an upcoming couple of years in India with a limited decline in the following years. The prediction model indicates a future relatively consistent pattern of suicide in India which does not seem to be a very encouraging trend. As we have not included the period staring the year 2020 onwards affected by Covid-19 and which has several disruptions in personal and family spaces, the projected suicide trend during the period of next two to three years (2020-22) may rise far high and then it may show a declining path. Along with this, there is a shift in means of suicide in the last couple of decades. Constituting the second-highest number of cases, Illness associated suicide was visibly a serious concern.

conclusionThe present analysis finds that there is no visible substantial relief for suicide deaths during the coming years in India. On the other hand, more extensive exploration of sample cases may provide important information for suicide prevention. Availability of detailed and more inclusive data will be highly useful for analysis and suicide preventive policies. Investment in public health care and other welfare activities like education and employment generation will yield visible positive results in suicide control.

Indexed as

AdolescentAdultCOVID-19Educational StatusEmploymentFemaleForecastingHumansIndiaMaleMiddle AgedSuicideYoung Adult

Identifiers

PMID34324554
PMCPMC8321128

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.