Facebook is tracking coronavirus symptoms by county to identify hotspots
Facebook is tracking coronavirus symptoms by county to identify
hotspots
@JBURSZ PUBLISHED MON, APR 20 2020 9:28 AM EDT
KEY
POINTS
- Facebook released its first
map that tracks coronavirus symptoms county-by-county.
- The company plans to update it
daily.
- CEO Mark 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 partnered with Carnegie Mellon University researchers to
create an opt-in survey designed to help identify Covid-19 hotspots
before the cases are confirmed. 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, a huge portion of
the map does not have enough participants to show data.
More than 1 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 has been criticized for its handling
of health issues and privacy. Zuckerberg said Monday that
Facebook can only see aggregated data. The Carnegie Mellon researchers can see
individual survey responses, however.
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 2 billion people use its platform.
In
a Washington Post op-ed published 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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