Although the immediate approach is to respond to the health crisis, the financial risk associated with natural hazards does not cease to exist. One option to address this challenge is to establish, prior to disasters and emergencies, fiscal and financial protection strategies.
When compared to densely populated areas, rural communities are more vulnerable to major health crises. So how do we support improved rural accessibility to hospitals in disaster-prone areas? One solution is geospatial data.
Central America’s diverse population includes more than 60 groups of Indigenous Peoples, whose systems of cultural, economic, political, and social organization have developed over centuries. These ethnic groups have been contributing throughout that time to what we now call disaster risk management (DRM) and adaptation to climate change with their own brand of knowledge, science, and traditional practices.
Small island states face particularly high risk of natural hazards. GFDRR data scientists explore how these risks can be reduced through making related data more open and accessible.