Dan Chalk

Dan Chalk#

ORCID GitHub

Senior Research Fellow in Applied Healthcare Modelling and Analysis

Current projects#

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Publications#

2023#

Pilbery, R., Smith, M., Green, J., Chalk, D., O’Keeffe, C. (2023). Modelling NHS England 111 demand for primary care services: a discrete event simulation. BMJ. dx.doi.org/10.1136/bmjopen-2023-076203

Pilbery, R., Smith, M., Green, J., Chalk, D., O’Keeffe, C. (2023). Modelling NHS 111 demand for primary care services: a discrete event simulation. Cold Spring Harbor Laboratory. dx.doi.org/10.1101/2023.05.22.23290330

Pilbery, R., Smith, M., Green, J., Chalk, D. (2023). An analysis of NHS 111 demand for primary care services. Cold Spring Harbor Laboratory. dx.doi.org/10.1101/2023.03.20.23287449

2021#

Chalk, D., Robbins, S., Kandasamy, R., Rush, K., Aggarwal, A., Sullivan, R., Chamberlain, C. (2021). Modelling palliative and end-of-life resource requirements during COVID-19: implications for quality care. BMJ. dx.doi.org/10.1136/bmjopen-2020-043795

2020#

Chalk, D., Robbins, S., Kandasamy, R., Rush, K., Aggarwal, A., Sullivan, R., Chamberlain, C. (2020). Modelling Palliative and End of Life resource requirements during COVID-19: implications for quality care. Cold Spring Harbor Laboratory. dx.doi.org/10.1101/2020.07.23.20160564

2018#

Chalk, D., Trent, N., Vennam, S., McGrane, J., Mantle, M. (2018). Reducing delays in the diagnosis and treatment of muscle-invasive bladder cancer using simulation modelling. SAGE Publications. dx.doi.org/10.1177/2051415818794089