Covid-19 Symptoms Map
About This Map
- This map shows an estimated percentage of people with COVID-19 symptoms, not confirmed cases.
- Facebook uses aggregated public data from a survey conducted by Carnegie Mellon University Delphi Research Center.
- Facebook doesn’t receive, collect or store individual survey responses. This map is not intended for diagnostic or treatment purposes, or for guidance on any type of travel.
Supporting COVID-19 Research
With over 2 billion people on Facebook, we are in a unique position to support COVID-19 research. We’re inviting people to participate in a survey conducted by Carnegie Mellon University Delphi Research Center, and over a million people responded to this survey within the first two weeks.
We designed this effort with privacy in mind from the start while providing new ways to help researchers and experts understand this crisis.
About this survey
The survey from CMU Delphi Research Center asks people to self-report symptoms associated with COVID-19 or the flu that they or anyone in their household has experienced in the last 24 hours. Surveys like this have been used globally for public health research. Even with as few as several thousand responses, survey data like these have been successfully used to forecast the spread of the flu and other illnesses.
Who’s taking this survey
Facebook reaches large segments of the population allowing for a significant representation of age, gender and state of residence. Every day, a new sample of Facebook users over 18 years old within the United States are invited to participate in the survey. Facebook doesn’t receive, collect or store individual survey responses, and CMU doesn’t learn who took the survey.
Adjusting for survey bias
To help CMU measure results, Facebook shares a single statistic known as a weight value that doesn’t identify a person but helps correct for any sample bias, adjusting for who responds to survey invitations. Making adjustments using weights ensures that the sample more accurately reflects the characteristics of the population represented in the data. The weight for a survey respondent in the sample can be thought of as the number of people in the U.S. adult population that they represent based on their age, gender and state of residence.