making headway in data collection for disaster management · 2020. 2. 5. · making headway in data...
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Making headway in Data Collection
For Disaster Management
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St. Vincent and the Grenadines
Size: 150 square miles
Population: Approx.109,000 (Census 2013)
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Focused on damage to physical structures
◦ housing, roads, public buildings – hospitals, schools;
Data is collected by constituencies/political boundaries;
Agriculture data;
Data collected on family –Social Data;
Calculating losses were underestimated;
Cost used for calculating losses were often old.
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Data from limited sources;
Archived newspaper articles
Local knowledge
Actual reports compiled from 2002
Data was not available to the public
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2010 - Hurricane Tomas2013 Flood Christmas Eve
damage
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Women, Children, Elderly, Physically challenged
Damage Assessment teams
◦ Ministry of Transport and Works (Engineers) - Civil damage
◦ Ministry of Housing (Planners) - Housing damage
◦ Ministry of Social Development - social data
The results reveled persons who are affected (socially
and physically vulnerable)
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November 2016 floods
Post Disaster Needs Assessment training on the collection of social data and the disaggregating of the data
Opportunity for application of training (localized flooding in several communities
Addressing gaps as part of an inclusive national disaster management plan
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More realistic calculation of damage losses;
Validation of DALA reports;
Preparation of proposals and projects for recovery –
World Bank, CDB, etc.;
Development of Social Safeguards;
Incorporating the Build Back Better concept in
redesigning damaged infrastructure.
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December 23, 2013 floods Present Day
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Data previously collected by
constituencies;
Presently data is proposed to be
collected by Census Districts;
Standardization of the data
collection instrument;
Development of protocols for
collection of data;
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