We Predict Human Behavior in Cities

Case Study 2

Public Health Departments


Saving lives while saving resources.


The Challenge

Public health departments protect our cities and fellow citizens from a wide variety of dangers, and make decisions about where to allocate resources so that they are most effective. The amount of geospatial data available to public health departments is enormous, but anticipating where public health emergencies will happen ahead of time is exceedingly difficult. 

The Solution

Zoba brings together thousands of variables that show how a city works as a system. These data are both spatial and temporal in nature and allow us to look at historical events in the context that they occurred. 

The combination of our data and our algorithms with data from public health departments is extremely powerful. Together, we can anticipate to the city block level where things like opioid overdoses will happen on a specific day with specific weather so that resources can be best placed to save lives. 

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The anticipation of public health emergencies allows for the extremely precise allocation of resources, saving lives and saving resources.