Mr. Behailu Dessalegn, Nutrition and Education Award, Best Researcher Award
Behailu Dessalegn at Dilla University, Ethiopia
Mr. Behailu Dessalegn is a dedicated researcher and educator with a diverse background in applied statistics and public health. He holds a Master of Science degree in Applied Statistics from Hawassa University, Ethiopia, where he conducted research on survival analysis of HIV-positive patients under antiretroviral therapy. With a Bachelor of Science degree in Statistics from Madda Walabu University, Mr. Dessalegn has a strong foundation in statistical theory and methodologies.
Throughout his career, Mr. Dessalegn has gained extensive professional experience in research, data analysis, and monitoring and evaluation practices in the field of public health. He has a keen interest in epidemiology, statistical analysis, and the implementation of public health interventions to improve health outcomes.
Profile:
Education:
Master of Science in Applied Statistics
- Institution: Hawassa University, Ethiopia
- Duration: October 2018 to October 2020
Bachelor of Sciences in Statistics
- Institution: Madda Walabu University, Ethiopia
- Duration: December 2011 to July 2014
Professional Experience:
Mr. Behailu Dessalegn has a diverse professional experience, showcasing his expertise in statistics and data analysis:
Monitoring and Evaluation: He has extensive experience in monitoring and evaluation practices, including courses in fundamentals, accountability, and learning in emergencies. Additionally, he completed training in project management for development professionals.
Statistical Analysis: With a background in applied statistics, Mr. Dessalegn has proficiency in statistical software such as SPSS, R, SAS, and STATA. He has also received training in advanced statistics and experimental design analysis.
Research Skills: Mr. Dessalegn has practical experience in academic writing, data quality, and data analysis for post-graduate students and staff. He has participated in courses focusing on academic writing skills and has conducted research on various topics, including health care activities and education.
Training and Capacity Building: He has been involved in organizing and conducting training sessions on statistical software, geographical information systems (GIS), and academic writing skills. Additionally, he has experience in designing questionnaires using Kobo Toolbox.
Communication and Teamwork: Mr. Dessalegn possesses excellent communication skills and has demonstrated the ability to work effectively both independently and as part of a team. He is adept at problem-solving and has a strong aptitude for building partnerships and managing performance for success.
Research Interest:
Health Care Activities: He is interested in conducting research related to health care activities, with a focus on topics such as health status assessment, disease prevalence, and health care access and utilization.
Epidemiology: Mr. Dessalegn is keen on exploring epidemiological aspects of diseases and health outcomes, including the determinants of disease occurrence, risk factors, and patterns of disease spread within populations.
Statistical Analysis: Given his background in applied statistics, Mr. Dessalegn is interested in employing statistical methods and techniques to analyze data from various research studies, including regression analysis, survival analysis, and meta-analysis.
Monitoring and Evaluation: He has a particular interest in research related to monitoring and evaluation practices, including assessing the effectiveness of health interventions, program impact evaluations, and performance monitoring in health care settings.
Public Health Interventions: Mr. Dessalegn is interested in researching the implementation and effectiveness of public health interventions aimed at improving health outcomes, disease prevention, and health promotion initiatives.
Data Quality and Management: He is interested in exploring research topics related to data quality assurance, data management practices, and the use of innovative technologies for data collection and analysis in health research.