What it's about:
The American city of Pittsburgh recently held a workshop to debate how it could use predictive data to prepare its hospitals and emergency services for an air quality or heat disaster.
The model takes a predictive response to planning, using simulation technology created by the Graduate School of Public Health at the University of Pittsburgh – a technology originally created to predict the dynamics of infectious disease epidemics.
In doing so, the city is able to determine how best to appropriately allocate resources and deployments of emergency response personnel, when a real disaster strikes.
Why it's noteworthy:
The predictive model is part of a wider resilience strategy announced by the city of Pittsburgh in March, 2017.
In taking early steps to measure the effects of a disaster on its population, the city is also trying to improve how it communicates during disasters as well as bolstering its infrastructure.
Read it on