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Operational Research for Emergency Planning in Healthcare: Volume 1
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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 and E departments and mass immunisation centres. This volume focuses on the operational level planning and the emphasis of volume 2 is mainly on planning at a more 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.
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