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GOLTC

GLOBAL
OBSERVATORY
OF LONG-TERM
CARE

Part of the International Long-Term Care Policy Network (ILPN)

 

Farzana Haque

University of Bergen

Farzana Haque

I am a dedicated researcher with a strong interest in global public health, particularly in dementia, long-term care, and oral health. I actively contribute to research design, data analysis, and methodological development, with hands-on experience in clinical data collection and laboratory procedures. I am committed to improving oral health outcomes and reducing health disparities through evidence-based research and collaborative approaches.

In addition, I am increasingly integrating advanced analytical methods into my work, including mathematical modelling and machine learning, to better understand complex health patterns and support innovative, data-driven solutions in public health research.

FURTHER INFORMATION

Countries Norway;
Topics Artificial Intelligence; COVID-19 and other infectious diseases and LTC; Dementia care and support; End-of-life care and LTC; Primary Health Care;
Methods Artificial Intelligence; Creative research methods; Data science and LTC research; Feasibility studies; Longitudinal data analysis; Machine learning; Mixed methods; Observational studies; Prevalence study;
Role Research;
Interest Groups Australian Long-Term Care Interest Group; Community-based approaches to dementia care; Technology and Long-Term Care;
ORC.IDhttps://orcid.org/0009-0005-9673-6729
GOOGLE SCHOLARhttps://scholar.google.com/citations?user=uT_tCHUAAAAJ&hl=en
LinkedInhttps://www.linkedin.com/in/farzana-haque-7a4b1b1b6/
Research interests

 

  • Oral health in people with dementia
  • Long-term care and palliative care
  • Global public health and health disparities
  • Caregiver knowledge and oral care practices
  • Clinical and epidemiological oral health research
  • COVID-19 and its impact on oral and general health
  • Mental health and its interrelationship with oral health and quality of life
  • Mathematical modelling and machine learning applications in health research
  • Data-driven and evidence-based approaches to improving health outcomes
Key publications
Early childhood caries risk prediction using machine learning approaches in Bangladesh

F Hasan, ME Tantawi, F Haque, MO Foláyan, JI Virtanen
BMC Oral Health 25 (1), 49
 18 2025
Maternal factors associated with early childhood caries among 3–5-year-old children with low socio-economic status in Trishal, Bangladesh

F Haque, MO Folayan, JI Virtanen
Frontiers in Oral Health 4, 1244359
 14 2023
Preventive behaviour and attitudes towards early childhood caries amongst mothers of toddlers in Bangladesh

F Haque, MO Folayan, JI Virtanen
Acta Odontologica Scandinavica, 1-7
 10 2023
Machine Learning Clustering of Psychological Response Trajectories Across the First and Second Waves of the COVID-19 Pandemic

F Hasan, F Haque, RA Abeldaño Zuñiga, NM Aly, MO Folayan
Frontiers in Psychiatry 17, 1726108