Operational Research for Emergency Planning in Healthcare Volume 1 [Hardcover]

This book presents a collection of studies that have applied analytical methods to improve preparedness, planning, and a faster response to A&E and public health emergencies like epidemic and disease outbreak. It explores the application of quantitative Operational Research techniques such as Mathematical Modelling and Optimization, Maximum Likelihood Estimation, Multiple-Criteria Decision Analysis, Discrete-event Simulation, Data Mining, and Bayesian Decision Models. These techniques have been used for better management of emergency care, including first responders, ambulance services, A&E departments, and mass immunisation centres. This volume focuses on planning at the operational level whereas volume 2 focuses mainly on planning at the strategic level.The OR Essentials series presents a unique cross-section of high quality research work fundamental to understanding contemporary issues and research across a range of Operational Research (OR) topics. It brings together some of the best research papers from the highly respected journals of the Operational Research Society, also published by Palgrave Macmillan.Navonil Mustafee is Senior Lecturer in Operations and Supply Chain Management at the University of Exeter Business School. He has published several peer-reviewed articles on healthcare modelling and simulation and has worked with the NHS in Wales and England on a number of capacity management studies which have used Operations Research techniques. Currently, he is engaged in collaborative studies with the Horizon Institute at Torbay Hospital. More widely, his research interests include simulation methodology (e.g. hybrid simulation, mix of soft-hard OR), parallel and distributed simulation, and bibliometric analysis of research domains.

He has authored close to 100 peer-reviewed papers in journals, conferences and chapters in books, and has co-edited one conference proceedings (UKORS OR55 conference). He is Associate Editor for