Syaribah Noor Brice
(she/her)
SAg, BSc (Hons), PgCert, MSc, PhD
Research Associate
- BriceSN@cardiff.ac.uk
- Abacws, Room 1.41, Senghennydd Road, Cathays, Cardiff, CF24 4AG
Publication
2023
- Brice, S. N., Harper, P. R., Gartner, D. and Behrens, D. A. 2023. Modeling disease progression and treatment pathways for depression jointly using agent based modeling and system dynamics. Frontiers in Public Health 10, article number: 1011104. (10.3389/fpubh.2022.1011104)
2022
- Brice, S. et al. 2022. Emergency services utilization in Jakarta (Indonesia): A cross-sectional study of patients attending hospital emergency departments. BMC Health Services Research 22, article number: 639. (10.1186/s12913-022-08061-8)
2021
- Brice, S. et al. 2021. Factors influencing the delivery of cancer pathways: a summary of the literature. Journal of Health Organization and Management 35(9), pp. 121-139. (10.1108/JHOM-05-2020-0192)
2019
- Brice, S. N. 2019. Modelling disease progression and treatment pathways for depression. PhD Thesis, Cardiff University.
Erthyglau
- Brice, S. N., Harper, P. R., Gartner, D. and Behrens, D. A. 2023. Modeling disease progression and treatment pathways for depression jointly using agent based modeling and system dynamics. Frontiers in Public Health 10, article number: 1011104. (10.3389/fpubh.2022.1011104)
- Brice, S. et al. 2022. Emergency services utilization in Jakarta (Indonesia): A cross-sectional study of patients attending hospital emergency departments. BMC Health Services Research 22, article number: 639. (10.1186/s12913-022-08061-8)
- Brice, S. et al. 2021. Factors influencing the delivery of cancer pathways: a summary of the literature. Journal of Health Organization and Management 35(9), pp. 121-139. (10.1108/JHOM-05-2020-0192)
Gosodiad
- Brice, S. N. 2019. Modelling disease progression and treatment pathways for depression. PhD Thesis, Cardiff University.
Research
My research interest is in the application of Operational Research and Statistics in healthcare. Through mathematical modelling, simulation techniques and statistical analysis, patterns in health data can be explored to provide evidence-based decision-making. The integration of these frameworks into healthcare decision-making process will ultimately help improve the delivery of health services and patients' experience.