CGIS research assistant prof. Junchuan Fan and Prof. Kathleen Stewart have been working with Facebook and the Joint Program in Survey Methodology (JPSM) at UMD to develop a real-time mapping platform that tracks the prevalence of COVID19-like symptoms across the global population.
The COVID-19 World Symptom Survey (https://dataforgood.fb.com/docs/covid19/) is a collaborative research project between Facebook and a number of academic institutions including the University of Maryland. The survey is currently available in 56 languages. A representative sample of Facebook users is invited on a daily basis to report on symptoms, social distancing behaviors, mental health issues, and financial constraints experienced during this ongoing health crisis. Over half a million responses are collected daily, and Facebook provides weights to reduce non-response and coverage bias. Country and region-level statistics are published daily via the public API (https://covidmap.umd.edu/api.html) and dashboards(https://covidmap.umd.edu/map/), and microdata are available for researchers via data use agreements (https://dataforgood.fb.com/docs/covid-19-symptom-survey-request-for-data-access/).
- Data pipeline and data visualization team (CGIS):
- Junchuan Fan, Yao Li, Kathleen Stewart, Anil Kommareddy, Andres Garcia
- Survey design and fielding team (JPSM):
- Samantha Chiu, Adrianne Bradford, Frauke Kreuter, Brian Kim