Cover image for Data Against Disasters : Establishing Effective Systems for Relief, Recovery, and Reconstruction.
Data Against Disasters : Establishing Effective Systems for Relief, Recovery, and Reconstruction.
Title:
Data Against Disasters : Establishing Effective Systems for Relief, Recovery, and Reconstruction.
Author:
Amin, Samia.
ISBN:
9780821374535
Personal Author:
Physical Description:
1 online resource (342 pages)
Contents:
Contents -- Foreword -- Acknowledgments -- Contributors -- Abbreviations -- Introduction -- 1 Using Data Against Disasters: Overview and Synthesisof Lessons Learned Samia Amin, Marcus Cox, and Markus Goldstein -- 2 Information Gaps in Relief, Recovery, and Reconstructionin the Aftermath of Natural Disasters Claude de Ville de Goyet -- 3 United Nations' Efforts to Strengthen InformationManagement for Disaster Preparedness and Response Brendan McDonald and Patrick Gordon -- Case Studies -- 4 The Use of a Logistics Support System in Guatemala and Haiti Claude de Ville de Goyet -- 5 World Bank: Tracking Reconstruction Funds inIndonesia after the 2004 Earthquake and Tsunami Jock McKeon -- 6 The Flow of Information during Disaster Response:The Case of the Mozambique Floods, 2007 Marcin Sasin -- 7 Data Management Systems after the Earthquakein Pakistan: The Lessons of Risepak Samia Amin -- 8 Ex Ante Preparedness for Disaster Management: Sahana in Sri Lanka M. A. L. R. Perera -- Index -- Box 3.1 The Cluster Approach -- Figure 2.1 Disaster Losses in the Richest and Poorest Nations, 1985-99 -- Figure 2.2 The Phases of Disaster -- Figure 2.3 The Overlapping Phases in Recent Major Disasters -- Figure 4.1 The Hierarchical Structure of SUMA -- Figure 4.2 The Nonhierarchical Structure of the LSS -- Figure 4.3 The Distribution of Funding by Source, in Haiti, 2004-07 -- Figure 4.4 The National Risk and Disaster Management System -- Figure 4.5 Shares of Donor Funding, in Guatemala, by Donor -- Figure 5.1 Damage and Loss Assessment -- Figure 5.2 Funding Allocations by Contributor Type -- Figure 5.3 Timeline: Post-Tsunami Events and the Output of the Financial Tracking System -- Figure 5.4 Overview of the Financial Tracking System -- Figure 5.5 BRR Project Planning, Approval, and Implementation Processes -- Figure 5.6 Funding Flows across Actors in Reconstruction.

Figure 5.7 Examples of Key Outputs -- Figure 5.8 Creating Damage and Loss Assessments for Reconstruction Planning -- Figure 5.9 Funding Flows Required for Data Analysis -- Figure 6.1 Water Flows at Cahora Bassa Dam, 2001 and 2007 -- Figure 7.1 Reconstruction Costs by Sector, Estimates, November 2005 -- Table 1.1 The Phases of Disaster -- Table 2.1 Distribution of Natural Disasters by Origin, 1970-2005 -- Table 2.2 Disasters Receiving over 10 Percent of AnnualInternational Humanitarian Funding -- Table 2.3 Relief Activities Following an Earthquake -- Table 2.4 Selected Indicators of Recovery and Reconstruction, by Area of Recovery -- Table 3.1 Minimum Common Operational Data Sets -- Table 3.2 Optional Common Operational Data Sets -- Table 4.1 Approximate Cost of SUMA in the Americas -- Table 4.2 Main Steps in the Development of the LSS -- Table 4.3 The Implementation of SUMA in the Aftermath of Disasters -- Table 4.4 The Implementation of the LSS in the Aftermath of Disasters -- Table 4.5 Human Development Indicators for Angola, the Dominican Republic, and Haiti -- Table 4.6 Good Governance Indicators for Angola, the Dominican Republic, and Haiti -- Table 4.7 Summary of Losses Caused by Natural Disasters, in Haiti, 2003-07 -- Table 4.8 Humanitarian Funding for Haiti, 2004-07 -- Table 4.9 The Distribution of Roles among Partners, Flash Appeal 2004 -- Table 4.10 The Chronology of SUMA Implementation, 2004 -- Table 4.11 SUMA Training Activities through the DPC -- Table 4.12 Comparative Strength and Damage of Hurricanes Mitch and Stan -- Table 4.13 Disaster Impact and Level of Development, Guatemala -- Table 4.14 National Counterparts and the United Nations' Response -- Table 4.15 Contributions of the United Nations' System -- Table 4.16 Chronology of Events, Hurricane Stan, and Humanitarian Assistance.

Table 5.1 Bilateral and Multilateral Donors in the Reconstruction Effort -- Table 5.2 Sector Definitions -- Table 5.3 Summary of Aceh and Nias Reconstruction Funding Allocations -- Table 7.1 Baseline Data Collection -- Table 7.2 Damage and Needs Assessment Indicators -- Table 7.3 Measures of Assistance and Residual Need -- Table 8.1 Summary of Natural Disasters in Sri Lanka, 1957-2007 -- Table 8.2 People Displaced by the Tsunami, Survey Results of March 4, 2005.
Abstract:
This book provides guidance to policy makers seeking to design effective monitoring systems for disaster response management. This volume describes the data needs that arise after natural disasters, assesses current data management reform efforts, and discusses the institutional preconditions and tactical and strategic steps necessary for establishing systems that work. Six country case studies elaborate lessons from the success and failures of efforts to establish innovative monitoring systems in the aftermath of disasters in Guatemala, Haiti, Indonesia, Mozambique, Pakistan, and Sri Lanka.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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