Transcript PPT
Assessment & Monitoring in Emergencies The importance of Census Data in Disaster Management 2010 World Programme on Population and housing Censuses: Workshop on Census Cartography and Management Session 12, Bangkok, 18 October 2007 Jesper Moller UNICEF East Asia and Pacific Regional Office Challenge Milestones Standards Partnerships Tour MDG Monitoring Aid Effectiveness EmergencyInfo DevInfo.org SDMX Customized Databases More than 80 national statistics organizations and other agencies have adapted DevInfo Challenge Census Milestones Population census once every decade Standards Partnerships Tour Surveys Periodic household surveys on various topics MDG Monitoring Records Aid Effectiveness Administrative records from various government departments EmergencyInfo DevInfo.org SDMX Assessment & Monitoring in Emergencies Tools for Decision-Making Support Pre-crisis • Vulnerability Analysis and Mapping • Emergency Preparedness and Response Plans • Baseline database 48-72 hours • Initial rapid assessment (multi-sectoral) • Identify Key Humanitarian Results Areas Immediate Response Phase • Establish results based performance monitoring framework • Conduct regular humanitarian gap analysis • Sector/Cluster specific assessments • Multi-sectoral probability surveys Beyond • Evaluations Assessment & Monitoring in Emergencies Emergency Immediate Pre-Crisis Response Phase Increasing depth Preparedness data collection Beyond the Immediate Response Tracking Mulit-sectoral Rapid Assessment (qualitative & secondary quantitative) Early warning systems Surveillance Sector-specific rapid assessments RA Child Protection RA Learning Spaces Multi-sectoral survey Follow-up survey: Health/Nutr/ Food/WES/etc (probability sample): Health/Nutr/ Food/WES/etc Periodic surveys In-depth sector studies Existing research/studies (quantitative/qualitative) Preparedness Monitoring Sudden onset Performance Monitoring 1 wk 6-8 wks 3-6 mo 1 year Essential Pre-Crisis Data Baseline Data • Population data (census, inter-censal survey) • Annual analysis of population growth rate and livelihood changes • Housing data (census, inter-censal survey) • Livelihood data income and expenditure survey, labour force survey) NOTE: All disaggregation by age group, sex, local area level Baseline Mapping • Standardization of P-code/Area Id for all administrative levels • Other geo-spatial data (roads, rivers, facility points, topography, coastal belts, seismic zones, volcanoes, landslide belts etc) • Lowest administrative level including village/settlements • Facility Points (Health, Education, Water) A NOTE: All baseline maps must be linked to metadata INDIA 2,265,000 children Rapid data collection and reports Sri Lanka Lessons Learned Advantages • Rapid release of data for evidence-based planning – compared to previous assessments (3mths to 1 week) • No need for paper and data entry – faster digitization generally means faster ends • Standardization of collected data by setting input restrictions Moving forward… • Strengthened partnership between National Statistical Offices and Disaster Management Authorities • Implementation of standardized platform for data dissemination to humanitarian practitioners • Using common standards for Statistical Data Metadata Exchange (SDMX) • Using common standards for geo-spatial data and metadata • Mechanisms established for dissemination of satellite imagery of affected areas (shp file formats, e.g. extent of flood affected areas) • Regular vulnerability and risk analysis (inter-agency)