Nawel Bessadet
Biographic Data
| ID | 7781102 |
|---|---|
| NAME | Nawel Bessadet |
| GIVEN NAMES | Nawel |
| FAMILY NAME | Bessadet |
| SIGNATURE | BESSADET N |
| AFFILIATIONS | University of Colorado Denver |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
A semantic Fairness framework for epidemiological analysis of Covid-19 data in the UAE
The increasing availability of Coronavirus disease 2019 (COVID-19)–related data has highlighted the need for robust epidemiological analysis to support public health decision-making, particularly in contexts where data are heterogeneous and fragmented. In the United Arab Emirates (UAE), COVID-19 research has generated diverse genomic, clinical, and epidemiological datasets, yet their integration and reuse remain challenging due to inconsistencies…
Application of theoretical domains framework to explore the enablers and barriers to physical activity among university staff and students
These findings suggest that several enablers and barriers influence university staff and students' capability, opportunity, and motivation to engage in physical activity. This study, therefore, provides a theoretical foundation to inform the development of bespoke interventions to increase physical activity among inactive university staff and students
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Application of theoretical domains framework to explore the enablers and barriers to physical activity among university staff and students
These findings suggest that several enablers and barriers influence university staff and students' capability, opportunity, and motivation to engage in physical activity. This study, therefore, provides a theoretical foundation to inform the development of bespoke interventions to increase physical activity among inactive university staff and students
A semantic Fairness framework for epidemiological analysis of Covid-19 data in the UAE
The increasing availability of Coronavirus disease 2019 (COVID-19)–related data has highlighted the need for robust epidemiological analysis to support public health decision-making, particularly in contexts where data are heterogeneous and fragmented. In the United Arab Emirates (UAE), COVID-19 research has generated diverse genomic, clinical, and epidemiological datasets, yet their integration and reuse remain challenging due to inconsistencies…
Behavioral Health and Interventions (1 work) · Biostatistics (1 work) · Conceptual framework (1 work) · Context (archaeology (1 work) · Data access (1 work) · Data integration (1 work) · Data modeling (1 work) · Data Quality and Management (1 work) · Data sharing (1 work) · Interoperability (1 work)