Helping our communities leverage location data for COVID-19 response
COVID-19: Using Data to Identify High-Risk Areas and People
With the ongoing COVID-19 pandemic many organizations are looking for data to help them better predict the spread of the virus at both the macro (city/county/state/country) and micro (predicting patients at a hospital) level. The COVID-19 pandemic has put massive stress on public health infrastructures and civic systems to the point of collapse. The velocity of the contagion is fast outpacing the rate of mitigation and resources to combat the disease are greatly constrained in comparison to the potential scale of the spread.
How Mobilewalla is helping...
Mobilewalla is working with various businesses and municipalities providing data around individual mobility that acts as a proxy for social distancing.
We are providing three types of related data:
Individual Mobility: which indicates the daily distance someone is traveling , at a city/county/state/country level, that can be provided on a daily basis
Cluster identification: identifying gatherings of more than a certain number of devices (10 or 20 usually) at a single location (which in many city/counties/states/countries is banned) and identifying the locations where these gatherings are happening (churches, temples, parks, gyms, etc.)
Individual device data (such as demographics and common evening location) by county along with the radius of gyration and cluster identification. This allows for a better understanding of the nuances of radius of gyration variations (such as why was there a spike in ROG on a Saturday)
Our innovative solution leverages mobility data to identify priorities such as individual testing, quarantines, and locations that need sterilization. This information can help healthcare, government, and law enforcement authorities confine the spread of an infectious virus in real-time.
For businesses or municipalities looking for ways to start using data intelligence, see the resource below or contact us now.
Technology Brief: Building a Contagion Graph to Identify the High-risk Areas and People during Viral Infection Spread
Learn how to leverage consumer mobility data to route constrained resources to the right potential usage pockets and allow selective, but more stringent, lockdowns of geographic areas.
