Data Demonstrates Increase in Mobility and Upsurge in COVID-19 Cases
Spireon data shows that 10-14 days after recent spikes in driving activity, there have been corresponding upticks in the number of reported cases of COVID-19.

Spireon gathered and analyzed 8 billion data points nationwide, studying the driving activity of over three million vehicles starting March 1, to understand the relationship between spikes in driving and growth in the number of COVID-19 cases.
Source: Spireon
Spireon, a vehicle intelligence company, revealed an analysis of proprietary consumer driving data that signals a distinct relationship between increased driving that has occurred following stay-at-home orders and increase in COVID-19 cases both at the state and national level.
Specifically, Spireon data shows that 10-14 days after recent spikes in driving activity, there have been corresponding upticks in the number of reported cases of COVID-19.
This timeframe mirrors the incubation period of the virus, with the data serving as another indication that surges in public mobility can lead to an escalation of viral infections.
“As the coronavirus pandemic is sweeping across the nation, claiming the lives of thousands of Americans and causing disruption across industries, analysis of Spireon data shows clearly that having more vehicles on the road has negative implication for the spread of the virus,” stressed Spireon CEO Kevin Weiss. “The correlation between more driving activity and new cases of the virus further substantiates the importance of social distancing. We want these findings to serve as an important public service announcement as we all strategize ways to reopen the economy safely.”
Spireon gathered and analyzed 8 billion data points nationwide, studying the driving activity of more than 3 million vehicles starting March 1, to understand the relationship between spikes in driving and growth in the number of COVID-19 cases. Driving activity was measured against baseline reflecting average driving activity before COVID-19.
At the state level, an analysis of 1.1 million vehicles and 2.5 billion data points shows a significant increase in driving occurred immediately following the shelter-in-place orders in states such as California and Texas.
Subsequently, approximately 10-14 days after the surge in driving, the number of reported COVID-19 cases also rose. The 10-14 day delay in infections matches the duration of the COVID-19 incubation period, as outlined by the World Health Organization.
In Florida and Louisiana, spikes in driving during spring break yielded the same result. Nationwide, driving data reveal a significant uptick in driving over Easter weekend, from Friday, April 10 to Sunday, April 12, which is already beginning to reflect an increase of COVID-19 infections this week.
“As the largest aftermarket telematics supplier in the country, Spireon’s data analysis team has unique visibility to a large volume of commercial and consumer driving data,” said Prem Hareesh, senior vice president of software engineering at Spireon. “As COVID-19 has rapidly transformed American life, our team continues to analyze how state and federal order, major holidays and more are causing spikes in driving that leads to increase in viral infections.”
Spireon data also shows that reported COVID-19 cases notably dropped following a 40-50% downturn in driving activity at both the state and national level in late March. These findings support public health guidelines enforced during the pandemic and illustrate the strong causal relationship between mobility and increased infections.
Originally posted on Work Truck Online
More Telematics

Deleting Driver Data Is No Longer Enough in Connected Vehicles
A factory reset may erase what's stored inside a vehicle, but it doesn't always end a former driver's digital connection. Here's how fleets can make digital offboarding part of every vehicle transition to reduce privacy, security, and compliance risks.
Read More →
How AI Can Help Fleet Managers Build Their Own Solutions
Syneos Health Fleet Manager Kristin Leary is exploring how AI-powered development tools, telematics data, and predictive analytics could help fleets solve operational challenges without waiting for a vendor roadmap.
Read More →
Cameras, Safety and Insurance: From Reactive Claims to Real-Time Prevention (Part 2 of 2)
Part Two: Commercial auto remains one of the most challenging and costly lines of coverage for fleet operators and insurers alike. Continue learning more about how to effectively address these issues from Onur Aksan, Enterprise Business Development Executive, Geotab
Read More →
100% Fleet Uptime? Here's Stellantis' Strategy
Keeping commercial vehicles on the road is becoming just as important as getting them into service. Stellantis’ U.S. fleet chief Michael Ferreira shares how connected technology and AI are changing the way fleets manage uptime.
Read More →
Waymo vs. Tesla Robotaxi: Side-by-Side Ride-Hailing Test Highlights Different Approaches to Autonomy
Video comparison in Austin contrasts traditional Uber service with autonomous offerings from Waymo and Tesla Robotaxi.
Read More →
Paying for a Fire Hose, Drinking from a Garden Hose: Getting the Full Value of Your Telematics
Why fleets struggle to turn telematics data into real-world results and how to fix it.
Read More →
Building Smarter Cybersecurity Policies for Fleet Operations
As fleet operations become increasingly connected, cybersecurity can no longer be treated as an IT issue alone. Building effective policies requires a proactive approach that protects vehicles, data, and operational systems while ensuring employees, vendors, and technology partners follow consistent security standards.
Read More →
Turning Connected Vehicle Data Into Decisions That Matter
Fleet leaders have more data than ever, but turning that data into clear, actionable decisions remains a challenge. This white paper shows how leading organizations are using connected vehicle data to improve safety, reduce costs, and optimize fleet performance. Learn how to turn insight into action across your fleet.
Read More →
Cameras, Safety and Insurance: From Reactive Claims to Real-time Prevention
Commercial auto remains one of the most challenging and costly lines of coverage for fleet operators and insurers alike. Learn more about how to effectively address these issues from Onur Aksan, Enterprise Business Development Executive, Geotab.
Read More →
The Predictive Pivot: How AI and Data Are Redefining Auto Logistics in 2026
AI is no longer a luxury but the baseline for profitability in 2026. Auto haulers that adopt these tools now will quickly outpace those that use manual workflows or take a wait-and-see approach.
Read More →
