Visualize how Cuebiq’s partners are using location data to build their own dashboards to analyze the change in mobility patterns due to COVID-19.
Home / Mobility Insights / COVID-19 Visual Gallery
The CDC is using Cuebiq's data to analyze mobility and the spread of COVID-19.
View Now →
We've partnered with Northeastern University through our Data for Good Program to help illustrate the impact of the coronavirus outbreak in the United States. [more]
UNICEF's big data initiative, Magic Box, studies and predicts the effects of mobility on COVID-19 responses.
We've partnered with Oxford University through our Data for Good Program to help illustrate how life in the U.K. has changed since the coronavirus outbreak began. [more]
The VMT Monitor fuses Cuebiq’s near-real time Mobility Insights with StreetLight’s algorithms that transform location data into contextualized, aggregated, and normalized travel patterns, as well as our deep repositories of data depicting historical VMT. [more]
The ISI Foundation is using Cuebiq data to analyze mobility patterns in Italy throughout the evolution of COVID-19 and the implementation of regional and national lockdowns. Specifically, ISI measures travel patterns between provinces, radius of gyration, and contact networks. [more]
Researchers at Northeastern MOBS Lab are using Cuebiq data to analyze changes in mobility and commuting patterns in cities around the United States, while also developing predictive computational tools for the analysis of the spatial spread of COVID-19. [more]
