Putting the public back in public health - Surveying symptoms of Covid-19

New England Journal of Medicine

Volumn 383, Issue 7, 2020, Pages

  Chan, Andrew T ^a,b,c   Brownstein, John S ^a,c  

^a HARVARD MEDICAL SCHOOL   (United States)

^b HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^c Massachusetts Consortium on Pathogen Readiness   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANXIETY; CORONAVIRUS DISEASE 2019; DECISION MAKING; DISEASE BURDEN; DISEASE SEVERITY; HELP SEEKING BEHAVIOR; HUMAN; PANDEMIC; PRIORITY JOURNAL; PUBLIC HEALTH; QUARANTINE; REINFECTION; REVIEW; RISK ASSESSMENT; RISK FACTOR; SOCIAL DISTANCING; SYMPTOM; UNITED STATES; VIRUS TRANSMISSION; COMPLICATION; CORONAVIRUS INFECTION; DEVICES; HEALTH SURVEY; INTERNET; MOBILE APPLICATION; PROCEDURES; SENTINEL SURVEILLANCE; SYMPTOM ASSESSMENT; VIRUS PNEUMONIA;

CORONAVIRUS INFECTIONS; HEALTH SURVEYS; HUMANS; INTERNET; MOBILE APPLICATIONS; PANDEMICS; PNEUMONIA, VIRAL; PUBLIC HEALTH SURVEILLANCE; SENTINEL SURVEILLANCE; SYMPTOM ASSESSMENT; UNITED STATES;

EID: 85089411218     PISSN: 00284793     EISSN: 15334406     Source Type: Journal    
DOI: 10.1056/NEJMp2016259     Document Type: Review

References (5)

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4. Brownstein JS, Chu S, Marathe A, et al. Combining participatory influenza surveillance with modeling and forecasting: three alternative approaches. JMIR Public Health Surveill 2017; 3(4): e83.
5. Drew DA, Nguyen LH, Steves CJ, et al. Rapid implementation of mobile technology for real-time epidemiology of COVID-19. Science 2020 May 5 (Epub ahead of print).