Md Emran Hasan

Dados Biográficos

ID4618665
NOMEMd Emran Hasan
PRENOMESMd Emran
SOBRENOMEHasan
ASSINATURAHASAN M E
AFILIAÇÕESCHINTA Research Bangladesh, Dhaka, Bangladesh
ORCID0000-0003-0221-1090
VERIFICADOSim
TOTAL DE OBRAS6
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR6
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2022
ANO MAIS RECENTE DE PUBLICAÇÃO2026
ÍNDICE H0

  • Research experience and career factors in relation to mental health problems

    Open AccessMohammed A Mamun, Md Abu Huraira et al.ARTICLEInternational Journal of Social…2026

    BACKGROUND: Mental health issues, including depression, anxiety, and insomnia, are increasingly prevalent among university students and graduates, especially those involved in academic research. The impact of research-related characteristics on mental health remains underexplored. AIM: We examined this relationship using machine learning alongside traditional statistical analyses and GIS mapping. METHODS: Data from 508 university students and gra…

  • Predicting substance use behaviors among students taking university entrance test

    Open AccessMd Emran Hasan, Mohammed A Mamun et al.ARTICLECurrent Psychology2025

  • Predicting Non-suicidal Self-Injury and Suicidal Ideation Among University Students

    Open AccessSyed Nazmul Hasan, Tasnim Tamanna et al.ARTICLEINQUIRY The Journal of Health…2025

    Non-suicidal self-injury (NSSI) and suicidal ideation (SI) represent significant mental health challenges among university students. In low- and middle-income contexts like Bangladesh, there is limited understanding of how these behaviors differentially affect students with and without mental illness. This study addresses these gaps by investigating the prevalence and risk factors of NSSI and SI, with stratified analyses by mental illness status,…

  • Predictive Modeling of Comorbid Depression and Anxiety Symptoms Among Prospective University Students

    Open AccessMohammed A Mamun, Firoj Al-Mamun et al.ARTICLEPsychological Reports2025

    Prospective university students are highly susceptible to mental health issues such as depression and anxiety. This study investigates the prevalence and risk factors associated with comorbid depression and anxiety suffering, integrating GIS and Machine Learning techniques to comprehensively understand their spatial distribution and predictive factors. Data from 1485 participants were collected via a cross-sectional survey, encompassing socio-dem…

  • Suicidal behaviors among high school graduates with preexisting mental health problems

    Open AccessFiroj Al-Mamun, Md Emran Hasan et al.ARTICLEInternational Journal of Social…2024Referências: 5

    Background: Suicidal behavior among adolescents with mental health disorders, such as depression and anxiety, is a critical issue. This study explores the prevalence and predictors of past-year suicidal behaviors among Bangladeshi high school graduates, employing both traditional statistical and machine learning methods. Aims: To investigate the prevalence and predictors of past-year suicidal behaviors among high school graduates with mental heal…

  • Aggregation, asymmetry, and common factors for Bangladesh’s exchange rate–trade balance relation

    Open AccessRabeya Khatoon, Md Emran Hasan et al.ARTICLEEmpirical Economics2022

    We present an application of the recent CS-ARDL methodology in the context of a country’s trade balance–exchange rate relationship. The trade balance is expected to deteriorate first before improving in response to currency depreciation and vice versa, widely known as the J-curve effect satisfying the Marshall–Lerner condition in the long run. Combining bilateral and aggregate analysis in one setting by constructing specific panel data with one r…