This system uses a myriad of source data (transportation, epidemiological, weather, etc…) to trace and predict transmission pathways (geographical vectors) for infectious disease. These predictions, specifically for Covid-19, can be used in estimating and investigating soon-to-be-affected regions, mitigate the spread or severity of disease localized to at-risk regions an coordinate targeted responses.
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What it Does

Transmission Pathways takes current infection rates and maps the likely routes diseases will spread from city to city, region to region. Users can play time forward to see how infection rates are likely to migrate and when. These predictions can also be compared to healthcare available in order to estimate the time in which a regional healthcare system will be overtaxed. Multiple scenarios can be analyzed by adjusting variables in the predictive models.

Why It's Important

Proactively stemming transmission and preventing healthcare systems from being overloaded is the determining factor in saving lives during a pandemic outbreak. Having the ability to predict where infection will be transmitted from, when and how fast allows everyone to employ targeted responses that slow or stop the spread of infection while minimizing the disruption to everyday life.

User Audience

  • Health System Administrators
  • Healthcare Providers
  • Public Health Analysts
  • Government Officials and Public Policy
  • Supply Chain and Transportation Planners
  • Economists and Financial Institutions


  • Web Delivered Analytics Tool based on Expero Miranda
  • Analytics engine powered by Expero Data Products Framework

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Expero Corps: Technology Impact for Social Good