Evidence map›Paper›PMID 34961356›Full record

ArticleThe International journal of social psychiatry2023

Trend and gender-based association of the Bangladeshi student suicide during the COVID-19 pandemic: a GIS-based nationwide distribution.

Mohammed A Mamun, Md Al Mamun, Ismail Hosen, Tanvir Ahmed, Istihak Rayhan, Firoj Al-Mamun

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Article in The International journal of social psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

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11citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Mohammed A MamunCHINTA Research Bangladesh, Savar, Dhaka, Bangladesh.ORCID 0000-0002-1728-8966
Md Al MamunDepartment of Public Health and Informatics, Jahangirnagar University, Savar, Dhaka, Bangladesh.
Ismail HosenCHINTA Research Bangladesh, Savar, Dhaka, Bangladesh.
Tanvir AhmedCHINTA Research Bangladesh, Savar, Dhaka, Bangladesh.
Istihak RayhanDepartment of Economics, Jahangirnagar University, Savar, Dhaka, Bangladesh.
Firoj Al-MamunCHINTA Research Bangladesh, Savar, Dhaka, Bangladesh.ORCID 0000-0003-4611-9624

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudents are one of the most vulnerable groups to suicide. Before the COVID-19 pandemic, a Bangladeshi study was conducted assessing their suicide patterns regarding gender-based associations. But how has the pandemic changed the Bangladeshi students' suicide patterns is not studied yet, which is investigated herein. Besides, for the first time, this study provides GIS-based distribution of suicide cases across the country's administrative district.

methodsAs Bangladesh has no suicide surveillance system, this study utilized media reporting suicide cases following the prior studies. A total of 127 students' suicide cases from March 2020 to March 2021 were finally analyzed after eliminating the duplicate ones, and data were synthesized following the prior studies. Arc-GIS was also used to distribute the suicide cases across the administrative district.

resultsResults revealed that female (72.4%;

conclusionsThe findings reported herein are assumed to be helpful to identify the gender-based suicide patterns and suicide-prone regions in the time of the COVID-19 pandemic to initiate suicide prevention programs of the risky students.

Indexed as

COVID-19AdolescentBangladeshFemaleGeographic Information SystemsHumansMalePandemicsStudentsBangladeshCOVID-19 suicidegender and suicideStudent suicidesuicide risk factors

Identifiers

PMID34961356
PMCPMC9936165

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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.