Publications

2020

  • Adeyemi S., Demir E., Yakutcan U., A statistical assessment of association between meteorological parameters and COVID-19 pandemic in 10 countries. Journal of Global Health Reports. 2020;4:e2020066. https://doi.org/10.29392/001c.13693
  • Adeyemi S., Demir E., Yakutcan U., Adeoti A., Kengne A.P., Kayode A.G., Ahmad A., Burmen B., Idika N., Isichei C. (2020). The need for a radical technology for a wholistic HIV disease management. Bulletin of the World Health Organization (Under review).
  • Demir E., Adeyemi S., Adeoti A., Kengne A.P., Kayode A.G. (2020). HIV-MSS: A User-Friendly Management Support System for Better Planning of HIV Care Services. International Journal of Health Planning and Management (In press).
  • Burmen B., Adeyemi S., Demir E., Yakutcan U., Adeoti A., Idika N., and Isichei C. (2020). Beyond cost and access to medicine: Forecasting staffing needs based on Workload Indicators of Staffing Need (WISN) to achieve UNAIDS 90-90-90 or 95-95-95.
  • Yakutcan U., Adeyemi S., Demir, E., X, Y and Z (2020). A simulation based Budget Impact Modelling and cost effectiveness of two-drug INSTI based regimen for the treatment of HIV-1 patients. PharmacoEconomics. Under Review.
  • Adeyemi S., Yakutcan U. Adeoti A and Demir E. A cautionary note on the association between meteorological parameters an19 pandemic. Viewpoint Article, Journal of Global Health (Under review).

2019

  • Ordu, M., Demir, E., Tofallis, C., and Gunal, M. (2019). A novel healthcare resource allocation decision support tool: a forecasting-simulation-optimization approach. Journal of the Operational Research Society. https://doi.org/10.1080/01605682.2019.1700186
  • Adeyemi, S. and Demir, E. (2019). Modelling the neonatal system: A joint analysis of length of stay and patient pathways. The International Journal of Health Planning and Management.doi: https://doi.org/10.1002/hpm.2928
  • Ordu, M., Demir, E., and Tofallis, C. (2019). A decision support system for demand and capacity modelling of an accident and emergency department. Health Systems https://doi.org/10.1080/20476965.2018.1561161
  • Ordu, M., Demir, E. and Tofallis, C. (2019). A comprehensive modelling framework to forecast the demand for all hospital services. The International Journal of Health Planning and Management. https://doi.org/10.1002/hpm.2771

2018

  • Demir, E., Southern, D., Rashid, S. & Lebcir, M (2018). A Discrete Event Simulation model to evaluate the treatment pathways of patients with Cataract in the United Kingdom. BMC Health Services Research. DOI: 10.1186/s12913-018-3741-2
  • Demir, E., Southern, D., Verner, A. & Amoaku, W (2018). A simulation tool for better management of retinal services. BMC Health Services Research 18, 1, 759.

2017

  • Lebcir, R., Demir, E., Ahmad, R., Vasilakis, C. and Southern, D. (2017). A discrete event simulation model to evaluate the use of community services in the treatment of patients with Parkinson’s disease in the United Kingdom. BMC Health Services Research. DOI: 10.1186/s12913-017-1994-9.

2016

  • Demir, E. and Southern, D. (2016). Enabling better management of patients: discrete event simulation combined with the STAR approach. Journal of the Operational Research Society 68, pg. 577-590.
  • Demir E, Gunal M and Southern D (2016). Demand and Capacity Modelling for Acute Services using Discrete Event Simulation. Health Systems, 6, pg. 33–40.

2015

  • Demir, E., Vasilakis, C., Lebcir, M. and Southern, D. (2015). A simulation-based decision support tool for informing the management of patients with Parkinson’s disease. International Journal of Production Research, 53, pg. 7238-7251.

2014

  • Demir, E. (2014). A decision support tool for predicting patients at risk of readmission: a comparison of classification trees, logistic regression, generalized additive models, and multivariate adaptive regression splines. Decision Sciences, vol. 45, pg. 849-880.
  • Demir, E., Lebcir, R. and Adeyemi, S. (2014). Modelling length of stay and patient flows: methodological case studies from the UK neonatal care services. Journal of the Operational Research Society, vol. 65, pg. 532-545.

2013

  • Adeyemi, S., Demir, E. and Chaussalet, T.J. (2013). Towards an evidence-based decision-making healthcare system management: modelling patient pathways to improve clinical outcomes. Decision Support Systems, vol. 55, pg. 117-125.

2012

  • Adeyemi, S., Demir, E. and Chaussalet, T.J. (2012). A non-proportional random effects modelling for patient pathways. Statistical Methods and Applications, vol. 20, pp. 507-518.
  • Demir, E., Chahed, S., Chaussalet, T.J., Toffa, S. and Fouladinajed, F. (2012). A decision support tool for health service re-design. Journal of Medical Systems, vol. 36, pp. 621-630.

2011

  • Demir, E., Chaussalet, T., and Adeyemi, S (2011). Profiling hospitals based on emergency readmission: A multilevel transition modelling approach. Computer Methods and Programs in Biomedicine, vol. 108, pp. 487-499.