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Allan Kalungi

Biographic Data

ID7971528
NAMEAllan Kalungi
GIVEN NAMESAllan
FAMILY NAMEKalungi
SIGNATUREKALUNGI A
AFFILIATIONSUganda Virus Research Institute
ORCID0000-0002-2890-0145
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Associations between PTSD and psychotic symptoms: A network analysis of patients with psychotic disorders in Uganda

    Open Access•Hanseul Cho, Woohyung Lee et al.•ARTICLE•SSM - Mental Health•2026

    Introduction: Individuals with psychosis often endorse a history of trauma, yet the symptom-level interplay between trauma-related and psychotic symptoms is understudied globally and largely absent in Sub-Saharan Africa. We used network analysis to examine associations within and between these domains. Methods: We conducted a network analysis of 807 participants with a psychotic disorder and trauma history in the Ugandan cohort of the NeuroGAP-Ps…

  • Predicting suicidality in people living with HIV in Uganda: A machine learning approach

    Open Access•Anthony B Mutema, Lillian Linda et al.•ARTICLE•Frontiers in Psychiatry•2025

    A cost-sensitive AdaBoost model developed using the sociodemographic, psychosocial, and clinical data of PLWH in Uganda can predict suicidality risk, albeit with modest PPV. Incorporating suicidality PRS improved the overall predictive performance of the model. However, larger studies involving more diverse participants are needed to evaluate the potential of PRS in enhancing risk stratification and the clinical utility of the prediction model

  • Physical and sexual victimization of persons with severe mental illness seeking care in central and southwestern Uganda

    Open Access•Richard Mpango, Richard Stephen Mpango et al.•ARTICLE•Frontiers in Public Health•2023

    Purpose This study established the prevalence of physical and sexual victimization, associated factors and psychosocial consequences of victimization among 1,201 out-patients with severe mental illness at Butabika and Masaka hospitals in Uganda. Methods Participants completed structured, standardized and locally translated instruments. Physical and sexual victimization was assessed using the modified adverse life events module of the European Par…

No prominent works on this page.

  • Physical and sexual victimization of persons with severe mental illness seeking care in central and southwestern Uganda

    Open Access•Richard Mpango, Richard Stephen Mpango et al.•ARTICLE•Frontiers in Public Health•2023

    Purpose This study established the prevalence of physical and sexual victimization, associated factors and psychosocial consequences of victimization among 1,201 out-patients with severe mental illness at Butabika and Masaka hospitals in Uganda. Methods Participants completed structured, standardized and locally translated instruments. Physical and sexual victimization was assessed using the modified adverse life events module of the European Par…

  • Predicting suicidality in people living with HIV in Uganda: A machine learning approach

    Open Access•Anthony B Mutema, Lillian Linda et al.•ARTICLE•Frontiers in Psychiatry•2025

    A cost-sensitive AdaBoost model developed using the sociodemographic, psychosocial, and clinical data of PLWH in Uganda can predict suicidality risk, albeit with modest PPV. Incorporating suicidality PRS improved the overall predictive performance of the model. However, larger studies involving more diverse participants are needed to evaluate the potential of PRS in enhancing risk stratification and the clinical utility of the prediction model

  • Associations between PTSD and psychotic symptoms: A network analysis of patients with psychotic disorders in Uganda

    Open Access•Hanseul Cho, Woohyung Lee et al.•ARTICLE•SSM - Mental Health•2026

    Introduction: Individuals with psychosis often endorse a history of trauma, yet the symptom-level interplay between trauma-related and psychotic symptoms is understudied globally and largely absent in Sub-Saharan Africa. We used network analysis to examine associations within and between these domains. Methods: We conducted a network analysis of 807 participants with a psychotic disorder and trauma history in the Ugandan cohort of the NeuroGAP-Ps…

Logistic regression (2 works) · Medicine (2 works) · Mental Health Treatment and Access (2 works) · Population (2 works) · Psychiatry (2 works) · Psychosocial (2 works) · Suicide and Self-Harm Studies (2 works) · AdaBoost (1 works) · Artificial Intelligence (1 works) · Bipolar Disorder and Treatment (1 works)

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