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Activity Number:
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399
- Collecting, Protecting, and Sharing COVID-19 Data and the Stories They Tell
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Type:
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Invited
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Date/Time:
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Thursday, August 12, 2021 : 2:00 PM to 3:50 PM
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Sponsor:
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Government Statistics Section
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Abstract #316902
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Title:
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Privacy by Design When Launching a Global COVID Symptom Survey
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Author(s):
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Frauke Kreuter and Sarah LaRocca* and Katherine Morris and Adrianne Bradford and Samantha Lee-Ming Chiu
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Companies:
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University of Maryland and University of Mannheim and Facebook Research and Facebook Research and University of Maryland and University of Maryland
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Keywords:
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covid-19;
survey methods;
privacy
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Abstract:
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This talk will describe the partnership between Facebook and the University of Maryland (UMD) Joint Program in Survey Methodology (JPSM) and the Carnegie Mellon University (CMU) Delphi Research Center to create a global COVID-19 symptom survey. A representative sample of Facebook users is invited on a daily basis to take a survey hosted by either CMU Delphi (US-only) or UMD JPSM (globally) where respondents can report on symptoms, social behaviors, mental health, and financial worries. Facebook does not receive responses, but does calculate weights to correct for non-response bias and sampling frame coverage bias using internal Facebook data. Privacy protection and disclosure avoidance mechanisms are implemented by all partners to meet global policy and industry requirements. Country and region-level statistics are published daily via APIs, and individual response data are available for researchers via data use agreements.
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Authors who are presenting talks have a * after their name.
