Global monitoring of the impact of the COVID-19 pandemic through online surveys sampled from the Facebook user base

Simultaneously tracking the global impact of COVID-19 is challenging because of regional variation in resources and reporting. Leveraging self-reported survey outcomes via an existing international social media network has the potential to provide standardized data streams to support monitoring and...

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Veröffentlicht in:	Proceedings of the National Academy of Sciences - PNAS 2021-12, Vol.118 (51), p.1-10
Hauptverfasser:	Astley, Christina M., Tuli, Gaurav, Cord, Kimberly A. Mc, Cohn, Emily L., Rader, Benjamin, Varrelman, Tanner J., Chiu, Samantha L., Deng, Xiaoyi, Stewart, Kathleen, Farag, Tamer H., Barkume, Kristina M., LaRocca, Sarah, Morris, Katherine A., Kreuter, Frauke, Brownstein, John S.
Format:	Artikel
Sprache:	eng
Schlagworte:	Biological Sciences Coronaviruses COVID-19 COVID-19 - diagnosis COVID-19 - epidemiology COVID-19 Testing Cross-Sectional Studies Data transmission Decision making Demographics Demography Digital media Environmental monitoring Epidemiologic Methods Global health Humans Internationality Learning algorithms Local government Machine Learning Monitoring Pandemics Pandemics - statistics & numerical data Polls & surveys Public health Public Health Surveillance - methods Social Media Social networks Social organization Social Sciences Territory
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