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  • [\'Department of Anesthesiology and Division of Global Public Health and Infectious Diseases, School of Medicine, University of California San Diego, La Jolla, CA, United States.\', \'Global Health Policy Institute, San Diego, CA, United States.\', \'S-3 Research LLC, San Diego, CA, United States.\', \'Department of Healthcare Research and Policy, University of California San Diego, San Diego, CA, United States.\', \'Department of Family Medicine and Public Health, School of Medicine, University of California San Diego, La Jolla, CA, United States.\', \'Masters Program in Global Health, Department of Anthropology, University of California San Diego, La Jolla, CA, United States.\', \'Masters Program in Computer Science, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, United States.\']
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  • 10.2196/19509
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  • JMIR public health and surveillance
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  • 32490846
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  • Machine Learning to Detect Self-Reporting of Symptoms, Testing Access, and Recovery Associated With COVID-19 on Twitter: Retrospective Big Data Infoveillance Study.
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  • 2020

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