Gergana Manolova

ORCID: 0000-0002-1805-1186
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About
Contact & Profiles
Research Areas
  • Mental Health Treatment and Access
  • Migration, Health and Trauma
  • Epilepsy research and treatment
  • Hip and Femur Fractures
  • Maternal Mental Health During Pregnancy and Postpartum
  • Global Maternal and Child Health
  • Infectious Encephalopathies and Encephalitis
  • Child and Adolescent Psychosocial and Emotional Development
  • Health disparities and outcomes
  • Chronic Disease Management Strategies
  • Interprofessional Education and Collaboration
  • Delphi Technique in Research
  • Racial and Ethnic Identity Research
  • Child and Adolescent Health
  • Artificial Intelligence in Healthcare
  • Science, Research, and Medicine
  • Infant Development and Preterm Care
  • Health, psychology, and well-being
  • Pharmacological Effects and Toxicity Studies
  • Educational and Psychological Assessments
  • Data-Driven Disease Surveillance
  • COVID-19 diagnosis using AI
  • Primary Care and Health Outcomes
  • Evaluation and Performance Assessment
  • Machine Learning in Healthcare

London School of Hygiene & Tropical Medicine
2017-2024

World Health Organization - Pakistan
2024

Pwani University
2024

Stichting Epilepsie Instellingen Nederland
2024

John Radcliffe Hospital
2024

Karolinska Institutet
2024

African Population and Health Research Center
2024

Sichuan University
2024

West China Hospital of Sichuan University
2024

Epilepsy Society
2024

BackgroundIdentification of convulsive epilepsy in sub-Saharan Africa relies on access to resources that are often unavailable. Infrastructure and resource requirements can further complicate case verification. Using machine-learning techniques, we have developed tested a region-specific questionnaire panel predictive model identify people who had seizure. These findings been implemented into free app for health-care workers Kenya, Uganda, Ghana, Tanzania, South Africa.MethodsIn this...

10.1016/s2589-7500(22)00255-2 article EN cc-by-nc-nd The Lancet Digital Health 2023-03-22

Background The use of feedback to address gaps and reinforce skills is a key component successful competency-based mental health psychosocial support intervention training approaches. Competency-based during supervision for personnel delivering psychological interventions vital safe effective care. Aims For non-specialists trained in low-resource settings, there lack standardised systems. This study explores perspectives on feedback, using structured role-plays that are featured the Ensuring...

10.1192/bjo.2024.37 article EN cc-by-nc-nd BJPsych Open 2024-06-03

Objective To understand multidisciplinary team healthcare professionals’ perceptions of current and optimal provision acute rehabilitation, perceived facilitators barriers to implementation, their implications for patient recovery, using hip fracture as an example. Methods A qualitative design was adopted semi-structured telephone interviews with 20 members the (occupational therapists, physiotherapists, physicians, nurses) working on orthopaedic wards at 15 different hospitals across UK....

10.1371/journal.pone.0277986 article EN cc-by PLoS ONE 2022-11-18

The global refugee crisis has become central to health and policy debates. There is a growing need investigate how acculturation impacts mental among asylum seekers refugees. Many forced migrants have an increased risk of experiencing negative outcomes, but this review will only assess the current literature on adults. Research questions include following: (1) How conceptualised? (2) What are most salient outcomes? (3) measured related? (4) do macrostructural factors affect relationship...

10.1186/s13643-019-1103-8 article EN cc-by Systematic Reviews 2019-07-25

Abstract Background Understanding and addressing the unmet mental health needs burden in Northern Province of Sri Lanka is subject COMGAP-S two-phase study. Phase Two involves implementation World Health Organization’s Gap Action Programme (mhGAP) primary healthcare settings. As part contextual adaptation mhGAP, eleven videos provided mhGAP training package have been re-filmed by a local team. We investigated challenges, barriers good practices this effort from point view team participants....

10.1186/s13031-020-00259-z article EN cc-by Conflict and Health 2020-02-13

The availability of quality and timely data for routine monitoring mental, neurological substance use (MNS) disorders is a challenge, particularly in Africa. We assessed the feasibility using an open-source science technology (R Shiny) to improve health reporting Nairobi City County, Kenya. Based on previously used manual tool, June 2022, we developed digital online capture tool Kobo toolbox. Primary mental care providers (nurses physicians) working primary healthcare facilities were trained...

10.1371/journal.pdig.0000646 article EN cc-by PLOS Digital Health 2024-11-01

10.1016/j.jns.2023.120951 article Journal of the Neurological Sciences 2023-12-01
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