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Housne Begum

Dr. Housne Begum

DepartmentHealth Services Management
EducationMSc, PhD

Housne Begum, Instructor, HSM, is a Commonwealth fellow with an MSc in Microbiology and PhD in Public Health-Epidemiology (focusing on Health Economics) from University of Cambridge, United Kingdom. She joined Toronto Metropolitan University September 2015. She was also full time researcher and Sessional faculty at McMaster University as well as Sessional Lecturer at Dalla Lana school of Public Health (DLSPH), University of Toronto. Before joining McMaster University 2012, she taught at the University of Dhaka and led research on broad range of topics in public health-epidemiology and health economic issues, including the impact of food supplementation on infant growth, program evaluation, cost-effectiveness, clinical trials of different interventions, antimicrobial resistance, HIV, tuberculosis, sexually transmitted and blood-borne infections. She was involved in both qualitative and quantitative research projects.

She started working as full time at McMaster University 2015 in the Department of Health Research Methods, Evidence and Impact (HEI) and continued with the department of Family Medicine and department of Surgery until she joined HSM. In the department of HEI, Housne  Begum worked on more than 15 guidelines preparation and systematic literature reviews and meta-analysis for the WHO, ASH and other organizations. Worked with the McMaster GRADE center, Cochrane Canada and the Master of Public Health (MPH) graduate program. As Research Coordinator Dr Begum was involved in the Health TAPESTRY program and taught Research methods, Epidemiology, Biostatistics and different software, such as SPSS, Nvivo, and RevMan.

Housne Begum received 'the Begum Rokeya Gold Medal' for her academic performance and has authored more than 50 publications. Her interests are Health Informatics, Data Management, Critical appraisal, systematic literature review and meta-analysis, economic evaluation, cost effectiveness, quality of life, clinical trials and statistical analysis (both qualitative and quantitative).