Innovative Research Award
| Hanan Hammouuri | |
|---|---|
| Affiliation | Jordan University of Science and Technology |
| Country | Jordan |
| Scopus ID | 56524251300 |
| Documents | 39 |
| Citations | 369 |
| h-index | 8 |
| Subject Area | Biostatistics and Epidemiology |
| Event | World Statistics Awards |
| ORCID | 0000-0001-7009-1022 |
The Innovative Research Award recognizes scholarly contributions in the areas of biostatistics, epidemiology, and applied statistical science. Hanan Hammouuri of Jordan University of Science and Technology has contributed to research activities associated with epidemiological modeling, statistical analysis, healthcare-related data interpretation, and quantitative public health investigations.[1] The World Statistics Awards program acknowledges researchers whose academic work demonstrates methodological development, interdisciplinary collaboration, and measurable scientific impact within contemporary statistical research domains.[2]
Abstract
This article provides an overview of the academic profile and research contributions of Hanan Hammouuri in connection with the Innovative Research Award presented under the World Statistics Awards initiative. The discussion focuses on research activities related to biostatistics, epidemiological analysis, healthcare statistics, and applied quantitative methodologies. Biostatistical frameworks and epidemiological modeling continue to play essential roles in healthcare planning, disease surveillance, and evidence-based medical research.[3] The article also examines publication metrics, interdisciplinary research relevance, and the contribution of applied statistical methods to modern epidemiological investigations.[4]
Keywords
Biostatistics, epidemiology, healthcare analytics, public health statistics, statistical modeling, quantitative research, epidemiological methods, medical data analysis, applied statistics, health sciences.
Introduction
Biostatistics and epidemiology represent essential scientific disciplines for understanding health trends, disease dynamics, and evidence-based medical interventions. Statistical methodologies are widely used in clinical research, healthcare analytics, and population-based investigations to support accurate interpretation of health-related data.[5] Researchers in these fields contribute to methodological advancement through statistical modeling, predictive analysis, and quantitative evaluation of epidemiological evidence.
Hanan Hammouuri’s research profile reflects engagement with applied statistical methodologies relevant to public health and epidemiological science. The Innovative Research Award acknowledges academic efforts associated with advancing analytical frameworks and interdisciplinary statistical research within healthcare and biomedical contexts.[2]
Research Profile
Hanan Hammouuri is affiliated with Jordan University of Science and Technology and maintains a publication profile indexed through major academic databases. The Scopus author profile associated with the researcher documents scholarly publications and citation activity relevant to biostatistics, epidemiology, and healthcare-related statistical analysis.[1] The reported citation indicators and h-index demonstrate continuing scholarly visibility within applied health and statistical sciences.
Research interests associated with the profile include epidemiological modeling, public health analytics, statistical evaluation of clinical data, and applied healthcare statistics. Such areas are important for advancing quantitative understanding in medical and health science research environments.[6]
Research Contributions
Research contributions associated with Hanan Hammouuri emphasize the use of statistical and epidemiological methodologies in healthcare and biomedical investigations. These contributions support analytical decision-making processes and the interpretation of quantitative medical evidence.[4]
- Application of biostatistical methods in epidemiological and healthcare-related studies.
- Use of statistical modeling techniques for medical and public health data analysis.
- Contribution to interdisciplinary research involving epidemiology and quantitative health sciences.
- Participation in scholarly studies focused on clinical and population-based statistical investigations.
- Support for methodological development in applied healthcare analytics and evidence-based research.
Collectively, these research activities contribute to the broader advancement of quantitative methodologies used in health science and epidemiological investigations.[6]
Publications
The publication record associated with Hanan Hammouuri includes scholarly studies related to healthcare analytics, epidemiological methodologies, and applied biostatistics. These publications contribute to scientific discussions involving public health research and statistical interpretation frameworks.[1]
- Research addressing epidemiological modeling and healthcare statistical analysis.
- Studies examining biostatistical methodologies for clinical and public health applications.
- Publications involving quantitative assessment and interpretation of healthcare data.
- Collaborative academic contributions associated with medical statistics and epidemiological science.
Research Impact
The research impact associated with Hanan Hammouuri is reflected through publication activity, citation metrics, and interdisciplinary engagement within biostatistics and epidemiological sciences. Citation indicators demonstrate the relevance of the researcher’s contributions to healthcare analytics and applied statistical investigations.[1]
Biostatistical and epidemiological methodologies continue to influence healthcare policy, disease monitoring systems, and clinical decision-making frameworks. Research contributions within these fields support improved evidence-based analytical processes and public health planning.[5]
Award Suitability
The Innovative Research Award recognizes scholarly engagement in applied statistical methodologies and interdisciplinary scientific research. Hanan Hammouuri’s profile aligns with the objectives of the award through contributions connected to epidemiological analysis, healthcare statistics, and quantitative public health investigations.[2]
The integration of statistical modeling with healthcare analytics reflects the increasing importance of quantitative methodologies in medical science and public health research. Such contributions support the advancement of evidence-based scientific frameworks and applied epidemiological analysis.[6]
Conclusion
Hanan Hammouuri’s scholarly activities in biostatistics and epidemiology contribute to the advancement of quantitative healthcare research and applied statistical science. Through indexed publications, citation visibility, and interdisciplinary investigations, the researcher participates in the broader development of epidemiological methodologies and evidence-based health analytics.[1] Recognition through the Innovative Research Award under the World Statistics Awards framework reflects the continuing significance of applied statistical methodologies in healthcare, biomedical science, and public health research.[2]
External Links
References
- Elsevier. (n.d.). Scopus author details: Hanan Hammouuri, Author ID 56524251300. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=56524251300 - Hanan M. Hammouri., Osamah Batiha., & Adnan M. Massadeh. (2026). Associations of Semen Quality with Essential and Non-Essential Elements in Seminal Fluid.
https://link.springer.com/article/10.1007/s12011-025-04969-4 - ORCID. (n.d.). Hanan Hammouuri ORCID profile.
https://orcid.org/0000-0001-7009-1022 - Hanan M. Hammouri., Melanie F Alazzam., & MClinDent. (2025). Food Texture Preference and Oral Clefts: A New Perspective from a Case-Control Study.
https://journals.sagepub.com/doi/abs/10.1177/10556656251332119 - Hanan M. Hammouri., Mohammad Fraiwan., & Fidaa Almomani. (2026). Sociodemographic influences on Student Mental Health and their association with activation-regulating functional impairments.
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0342731 - Hanan M. Hammouri., & Roy T. Sabo. (2020). Handling Skewed Data: A Comparison of Two Popular Methods.
https://www.mdpi.com/2076-3417/10/18/6247