Image from Google Jackets

Modeling the Injury Flow and Treatment after Major Earthquakes / edited by Lulu Zhang

Contributor(s): Zhang, Lulu., editor literario
Material type: materialTypeLabelE-bookPublisher: Dordrecht : Springer Netherlands, 2016Description: 1 recurso en línea (V, 215 p.) 45 il., 38 il. col..ISBN: 9789401775274.Subject: Medicina | Salud públicaDDC classification: 616.025 Online resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Introduction -- Modeling the occurrences of earthquake casualties -- Logistic Regression Modeling the Length of Stay among the Hospitalized Patients after the 2010 Yushu Earthquake -- Modeling earthquake-related medical evacuation -- Modeling the medical rescue forces allocation in earthquakes -- Modeling the organization and command of earthquake rescue forces -- Modeling Location and Distribution of Medical Support Institutions -- Modeling hospital transition from peacetime to wartime -- Summary.
Summary: This book discuss a series of earthquake emergency medical rescue complex models, which can provide theoretical support for medical disaster rescue work in the future. This book consists of three parts. The first part is an introduction (chapter 1) which makes an overview of the purpose, meaning, methods and relative theory using in the research. The second part (chapter 2 to 8) includes zcasualty flowy related factors such as the occurrences of earthquake casualty, the Length of Stay among the Hospitalized Patients, the medical evacuation in earthquake and rescue force related factors such as the medical rescue forces allocation in earthquake, the organization and command of earthquake rescue forces, Location and Distribution of Medical Rescue Institutions and from peacetime to wartime in hospital. The third part (chapter 9) is a summary including conclusion and policy-making suggestion. Editor Lu-lu Zhang is a Professor at the Institute of Military Health Management, Second Military Medical University, Shanghai, China.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias de la Salud RA645.5 M634 2016 EB (Browse shelf(Opens below)) .i11601292 Acceso electrónico eBOOK .i11601292
Total holds: 0

Introduction -- Modeling the occurrences of earthquake casualties -- Logistic Regression Modeling the Length of Stay among the Hospitalized Patients after the 2010 Yushu Earthquake -- Modeling earthquake-related medical evacuation -- Modeling the medical rescue forces allocation in earthquakes -- Modeling the organization and command of earthquake rescue forces -- Modeling Location and Distribution of Medical Support Institutions -- Modeling hospital transition from peacetime to wartime -- Summary.

This book discuss a series of earthquake emergency medical rescue complex models, which can provide theoretical support for medical disaster rescue work in the future. This book consists of three parts. The first part is an introduction (chapter 1) which makes an overview of the purpose, meaning, methods and relative theory using in the research. The second part (chapter 2 to 8) includes zcasualty flowy related factors such as the occurrences of earthquake casualty, the Length of Stay among the Hospitalized Patients, the medical evacuation in earthquake and rescue force related factors such as the medical rescue forces allocation in earthquake, the organization and command of earthquake rescue forces, Location and Distribution of Medical Rescue Institutions and from peacetime to wartime in hospital. The third part (chapter 9) is a summary including conclusion and policy-making suggestion. Editor Lu-lu Zhang is a Professor at the Institute of Military Health Management, Second Military Medical University, Shanghai, China.

There are no comments on this title.

to post a comment.
Share