Data Against Natural Disasters

Establishing Effective Systems for Relief, Recovery, and Reconstruction

Samia Amin, Markus Goldstein

• Publisher: World Bank Publications
• Year: 2008
• eBook ISBN: 9780821374535
• Edition: 0
• Topic: Social Sciences
• Subtopic: Global Development Studies
• Index: Social Sciences

In recent years, the world has seen both massive destruction caused by natural disasters and immense financial and physical support for the victims of these calamities. So that these natural hazards do not become manmade disasters, effective systems are required to identify needs, manage data, and help calibrate responses. If well designed, such systems can help coordinate the influx of aid to ensure the timely and efficient delivery of assistance to those who need it most. 'Data Against Natural Disasters' seeks to provide the analytical tools needed to enhance national capacity for disaster response. The editors and authors begin with an overview that summarizes key lessons learned form the six country case studies in the volume. Next, they outline the data needs that arise at different stages in the disaster response and explore the humanitarian community's efforts to discover more effective response mechanisms. The country case studies review the successes and failures of efforts to establish innovative monitoring systems in the aftermath of disasters in Guatemala, Haiti, Indonesia, Mozambique, Pakistan, and Sri Lanka. 'Data Against Natural Disasters' will be useful to policy makers and others working in port-calamity situations who are seeking to design new monitoring systems or to improve existing ones for disaster response management.

Table of contents

• Contents
• Foreword
• Acknowledgments
• Contributors
• Abbreviations
• Introduction
• Case Studies
• 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