Facebook coronavirus symptom tracking map released


Founder and CEO of Facebook Mark Zuckerberg speaks at the annual Munich Security Conference on February 15, 2020.

Kuhlmann | Munich Security Conference

Facebook on Monday released its first map that tracks coronavirus symptoms county-by-county, which it plans to update daily throughout the outbreak.

Facebook partnered with researchers from Carnegie Mellon University to create an opt-in survey designed to help identify Covid-19 hotspots earlier. The map breaks down the percentage of people per county who have self-reported coronavirus symptoms, such as loss of smell, cough and fever.

It shows, for example, that 1.45% of people in New York County have reported coronavirus symptoms. But, as you can see in the map below, there’s also a huge portion of the map without enough participants to show any data.

Still, more than one million people responded to the survey within the first two weeks, according to Facebook. CEO Mark Zuckerberg said the company will roll out the survey globally this week, which will help it provide a more complete picture.

Facebook’s coronavirus symptom map


Facebook has been criticized for its handling of health issues and privacy. Zuckerberg said on Monday Facebook can only see aggregated data. The health researchers at Carnegie Mellon University can see individual survey responses, howeer.

Zuckerberg stressed that social media platforms have an advantage when it comes to helping health researchers, since they can access large groups of people.

“Facebook is uniquely suited to run these surveys because we serve a global community of billions of people and can do statistically accurate sampling,” Zuckerberg said in a Facebook post. The company said more than two billion people use its platform.

In a Washington Post Op-Ed released Monday, Zuckerberg added that Facebook can help health officials around the world access precise data to make public health decisions in the coming months. 

“This is work that social networks are well-situated to do. By distributing surveys to large numbers of people whose identities we know, we can quickly generate enough signal to correct for biases and ensure sampling is done properly,” he said. 

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