Samuel Habtegiorgis | Epidemiology Award | Excellence In Research

Mr. Samuel Habtegiorgis, Epidemiology Award, Excellence In Research

Samuel Habtegiorgis at Debre Markos University, Ethiopia

Mr. Samuel Habtegiorgis is a dedicated professional with a strong background in public health, epidemiology, and nursing. He obtained his Master of Public Health in Epidemiology (MPHE) from Haramaya University (HU), Ethiopia, and his Bachelor of Science in Nursing (BSc) from Debre Birhan University (DBU), Ethiopia. Throughout his academic journey, Samuel has demonstrated a passion for improving healthcare outcomes and addressing public health challenges.

With extensive training in biostatistics, epidemiology, health services management, and research methodology, Samuel has developed a diverse skill set to tackle complex health issues. He is proficient in data analysis using software such as Stata, Sas, and R, and has a keen interest in conducting systematic reviews and meta-analyses to contribute valuable insights to the field of public health.

Profile:

Education:

Master of Public Health in Epidemiology (MPHE)

  • Institution: Haramaya University (HU), Harar, Ethiopia
  • Duration: July 2016 – July 2018
  • Subjects: Biostatistics, Epidemiology, Health Services Management, Global Health, Health Informatics, Health Promotion & Communication, Advanced Biostatistics, Advanced Epidemiology I & II, Database Management, Research Methods, Public Health Program Evaluation, Research Thesis Project

Bachelor of Science in Nursing (BSc)

  • Institution: Debre Birhan University (DBU), Debre Berhan, Ethiopia
  • Duration: October 2009 – June 2013
  • Subjects: Common and Basic Science courses, Basic public health courses, Nursing professional courses, Clinical courses, Student research project

Additional Training

  • Certification: Completion of Stata, Sas, and R software training
  • Institution: College of Health Sciences, Debre Markos University
  • Duration: February 16-24, 2018

Professional Experience:

Mr. Samuel Habtegiorgis has gained valuable professional experience in the field of public health and healthcare management. His professional journey includes roles in academia, research, and community health initiatives. Here is a summary of his professional experience:

Lecturer: Samuel has served as a lecturer in public health or related fields at an academic institution. In this role, he has contributed to the education and training of future healthcare professionals, delivering lectures, designing curriculum, and mentoring students.

Researcher: Samuel has actively engaged in research activities, focusing on epidemiology, biostatistics, and health services management. He has participated in various research projects, conducted data analysis, and contributed to scientific publications in peer-reviewed journals.

Community Health Initiatives: Samuel has been involved in community health initiatives aimed at improving health outcomes at the grassroots level. He has participated in capacity-building programs, provided training on healthcare topics, and conducted health education and awareness campaigns.

Leadership Roles: Samuel has demonstrated leadership abilities in his professional endeavors. He has taken on leadership roles within academic departments or research teams, coordinating activities, managing projects, and supervising team members.

Overall, Samuel’s professional experience reflects his dedication to public health research, education, and community engagement. He has contributed significantly to advancing knowledge in the field of epidemiology and healthcare management while also making tangible contributions to improving health outcomes in his community.

Research Interest:

Mr. Samuel Habtegiorgis is deeply engaged in multifaceted research endeavors within the realm of public health, epidemiology, and healthcare management. His research interests span several critical domains. Firstly, he delves into the intricacies of nutritional health, with a particular emphasis on understanding the prevalence and determinants of conditions such as anemia among diverse demographic groups, including adolescents and lactating mothers. Additionally, Samuel’s work extends to the realm of infectious diseases, where he investigates the transmission dynamics and associated factors of various infections, as evidenced by his studies on intestinal parasitic infections among school students. Furthermore, he is dedicated to maternal and child health, exploring factors influencing maternal well-being, such as food insecurity among lactating mothers, and analyzing child health indicators like survival rates and predictors of mortality. Samuel’s research methodology often includes community-based studies aimed at identifying localized health needs, cultural practices, and social determinants of health to inform tailored interventions. Moreover, his interests encompass chronic disease epidemiology, particularly focusing on stroke, where he examines survival rates and predictors of mortality to enhance healthcare delivery strategies. Beyond epidemiology, Samuel is interested in health policy analysis and healthcare management, aiming to evaluate existing policies and propose evidence-based recommendations for improving healthcare systems. Lastly, he explores the social and cultural determinants of health, investigating phenomena such as food taboos among specific populations to develop culturally sensitive health interventions. Through interdisciplinary approaches and community engagement, Samuel’s research endeavors strive to address diverse public health challenges, promote health equity, and contribute to the enhancement of healthcare delivery both within Ethiopia and beyond.

Publication Top Noted:

Prevalence and associated factors of anemia among adolescent girls in Ethiopia: A systematic review and meta-analysis

  • Authors: SD Habtegiorgis, P Petrucka, AT Telayneh, DS Getahun, L Getacher
  • Journal: PLoS One
  • Volume: 17
  • Issue: 3
  • Pages: e0264063
  • Year: 2022
  • Citations: 26

Prevalence of intestinal parasitic infection and its associated factors among primary school students in Ethiopia: A systematic review and meta-analysis

  • Authors: MA Assemie, D Shitu Getahun, Y Hune, P Petrucka, AM Abebe
  • Journal: PLoS Neglected Tropical Diseases
  • Volume: 15
  • Issue: 4
  • Pages: e0009379
  • Year: 2021
  • Citations: 24

Food insecurity and its predictors among lactating mothers in North Shoa Zone, Central Ethiopia: a community-based cross-sectional study

  • Authors: L Getacher, G Egata, YA Aynalem, A Molla, A Tesfaye, H Abebe
  • Journal: BMJ open
  • Volume: 10
  • Issue: 11
  • Pages: e040627
  • Year: 2020
  • Citations: 14

The survival status and predictors of mortality among stroke patients at North West Ethiopia

  • Authors: N Walelgn, GY Abyu, Y Seyoum, SD Habtegiorgis, MY Birhanu
  • Journal: Risk Management and Healthcare Policy
  • Pages: 2983-2994
  • Year: 2021
  • Citations: 9

Food taboos and associated factors among agro-pastoralist pregnant women: A community-based cross-sectional study in Eastern Ethiopia

  • Authors: T Mengie, Y Dessie, G Egata, T Muche, SD Habtegiorgis, L Getacher
  • Journal: Heliyon
  • Volume: 8
  • Issue: 10
  • Year: 2022
  • Citations: 8

Jin Zhang | Big Data and Research Methods

Prof Dr. Jin Zhang : Leading Researcher in Big Data and Research Methods

University of Wisconsin-Milwaukee, United States.

Congratulations, Prof Dr. Jin Zhang, on winning the esteemed Best Researcher Award from ResearchW! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!

Profile: Scopus

Education:
  • University of Pittsburgh, School of Information Sciences  Ph.D.
  • Wuhan University, Department of Information Science M.S.
  • Wuhan University, Department of Information Science B.S.
Employment and Working Experience:
  • University of Wisconsin-Milwaukee, School of Information Studies Professor, 2010-
  • University of Wisconsin-Milwaukee, School of Information Studies Associate Professor, 2004-2010
Honors and Awards:
  • ASIS&T Distinguished Member (2021)
  •  Outstanding Paper Award The Utah Academy of Sciences, Arts & Letters  (2015)
  • Emerald Outstanding Reviewer Award (2013)
Computer Experience:
  • Programming languages: SQL, Visual Basic, SPSS, Visual C++ (MFC) and Java.
Professional Societies:
  • American Society for Information Science and technology- 1999 ACM member
  • The ASIS&T Awards & Honors Committee, 2001
  • The ASIST Research Award Committee, 2002
  • ASIST Wisconsin Chapter treasure, 2000-2003
  • ASIST Wisconsin Chapter Chair, 2004-2005
Publications:

Journal papers:

  • Zhao, Y.M., Wu, M. R., and Zhang, J. (2023). Identifying the Driving Factors of Word Co-occurrence: A Perspective of Semantic Relations. Scientometrics, 128, pp. 6471–6494.
  • Zhang, J. and Chen, J.Y. (202X). Investigation of Library Job Demands and Requirements through the Lens of the Job Market.  The Journal of Library Administration, XX(X), XX-XX. Accepted.
  • Zhang, J. and Chen, J.Y. (202X). Skill Analysis of Library and Information Science Professionals. The Journal of Librarianship & Information Science, XX(X), XX-XX. Accepted.
  • Zhang, J., Le, T.W., and Chen, J.Y. (2023). Investigation of Essential Skills for Data Analysts: An Analysis Based on LinkedIn. The Journal of Global Information Management, 31(1), 1-21.
  • Zhu, Y.F.  and Zhang, J. (20XX). An optimization analysis of the subject directory system on the MedlinePlus portal – an investigation of children related health topics. Knowledge Organization, X(X), pp XX-XX. Accepted.
  • Wang, Y.Y. and Zhang, J. (2023). A Study on User-Oriented Subjects of Child Abuse on Wikipedia: A Temporal Analysis of Wikipedia History Versions and Traffic Data”, Journal of Medical Internet Research, 25, e43901.
  • Zhang, J., Wolfram, D., and Ma, F.C. (2023). The Impact of Big Data on Research Methods in Information Science.  Data and Information Management, 7(2), pp. 100038.
  • Chen, Y., Lin, H., Zhang, J., and Zhao, Y. (XXXX). Online Health Information Consumers’ Learning across Health-Related Search Tasks from the Perspective of Retrieval Platform Switching. Journal of Information Science, Accepted.
  • Zhao, Y. & Zhang, J. (2023). Social Networks and Analytics. In J. Wang (Ed.), Encyclopedia of Data Science and Machine Learning (pp. 2528-2538). IGI Global. https://doi.org/10.4018/978-1-7998-9220-5.ch152.
  • Zhao, Y.M., Wu, L.R., Zhang, J., Le, T.W. (2021). How Questions’ Characteristics Affect Their Answer Outcome in Social Question and Answer Websites. The Journal of Global Information Management, 29(6), pp 1-21.
  • Omwando B., and Zhang, J. (2021). Analysis of Malaria Information on a Social Media Platform, HCI International 2021, Lecture Notes in Computer Science, 12796, 298-316.

Selected conference papers:

  • Wang, Y.Y, and Zhang, J. (2024) A Study on Health Consumers’ Emotional Responses to Asthma-Related Videos on YouTube, iConference 2024 – Wisdom, Well-being, Win-win Virtual Academic Program: 15-18 April, 2024. Onsite Academic Program in Changchun, China: 22-26 April, 2024.
  • Bozkurt, S., Hong, Y., Goddard, M., Kahn, E. C., and Zhang, J. (2024). Advancing Patient-Centered Radiology Reporting Through AI: Best practices for Utilizing Natural Language Processing with Patient Friendly Terminologies, ISKO 2024 Conference,  March 20-22, 2024, Wuhan, China.
  • Omwando B., and Zhang, J. (2021). Analysis of Malaria Information on a Social Media Platform, HCI International 2021, Lecture Notes in Computer Science, volume 35, 12796.
  • Zhao, Y., Chen, Y., Zhang, J., Dong, Q., Cao, G., & Zhang, Z. (2019). How did people feel during the Zika virus breakout? A sentiment analysis of Zika virus related posts on Yahoo! Answers. Proceedings of the Association for Information Science and Technology, 56(1), 849–851.

Books / Book Chapters:

  • Zhang, J. (2009). Chapter “The challenges, opportunities, and futures of information retrieval visualization”, in the book Information Resources Plan and Knowledge Science Advances, (pp. 219-240).  Wuhan University Press.
  • Zhang, J. (2008). Visualization for Information Retrieval, Springer.
  • Zhang, J. (2005). Chapter “Information Retrieval for Visualization” in the book Knowledge Technique and Application,  Science and Technology Documentation Publisher, pp. 431-460.

May your efforts cultivate a future where the skies are not only filled with innovation but are also fortified against the challenges that technological progress may bring.

Wishing you continued success in your endeavors to secure the future of Big Data and Research Methods.

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cybersecurity@researchw.com