Applications: Recent applications include Colombia (P180534), and a derivation of the product for identifying and prioritizing the population demand for multi-purpose flood shelters at subnational levels in Cambodia (P177185)
Data requirement: Global data with option (strongly recommended) to incorporate local data to improve model precision
Final deliverables: A GIS layer containing all relevant data, complemented by a csv data set and a slide deck containing key messages and highlights. A written report can be produced based on needs
Geographic scope: National, subnational
Hazards covered: Multiple hazards
Indicative Cost / working time: $150k
Methodology peer-reviewed, cleared (date)?: Yes - peer reviewed, published 02/24
Time Required for delivery: 3-6 months
The people-centric integrated risk and vulnerability index provides a ranking at a chosen administrative level within a country to compare which administrative units are the most at risk, based on hazard exposure and population determinants captured through variables for socio-economic factors, population health and infrastructure availability. The integrated risk index enables policy makers and WB operational teams to identify where people are most and least able to deal with the impacts of disasters on their health and the health system. It is based on a machine learning algorithm that groups administrative units based on their likeness to each other, and thus comparable within specific country contexts. It can incorporate different hazard factors, population, and infrastructure inputs to reflect complex system interdependencies and be tailored to individual country contexts as needed. Notably, the integrated risk index measures the risk of people losing access to health services, not the risk and exposure to individual disasters.
