Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing

Science

Volumn 368, Issue 6491, 2020, Pages

  Ferretti, Luca ^a   Wymant, Chris ^a   Kendall, Michelle ^a   Zhao, Lele ^a   Nurtay, Anel ^a   Abeler Dörner, Lucie ^a   Parker, Michael ^b   Bonsall, David ^a,c   Fraser, Christophe ^a,d  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b UNIVERSITY OF OXFORD   (United Kingdom)

^c OXFORD UNIVERSITY HOSPITALS NHS FOUNDATION TRUST   (United Kingdom)

^d UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DISEASE CONTROL; EPIDEMIC; MEMORY; PARASITE TRANSMISSION; VIRAL DISEASE;

ARTICLE; ASYMPTOMATIC DISEASE; CHINA; CONTACT EXAMINATION; CORONAVIRUS DISEASE 2019; DISEASE CONTROL; DISEASE TRANSMISSION; HEALTH CARE SYSTEM; HUMAN; INCUBATION TIME; MATHEMATICAL MODEL; MOBILE APPLICATION; MORTALITY RATE; PRIORITY JOURNAL; QUARANTINE; RATING SCALE; SEVERE ACUTE RESPIRATORY SYNDROME CORONAVIRUS 2; VIRUS TRANSMISSION; ALGORITHM; BASIC REPRODUCTION NUMBER; BETACORONAVIRUS; CORONAVIRUS INFECTION; EPIDEMIC; ETHICS; INFECTION CONTROL; MOBILE PHONE; PANDEMIC; PROBABILITY; PROCEDURES; THEORETICAL MODEL; TIME FACTOR; VIRUS PNEUMONIA;

CORONAVIRUS; SARS CORONAVIRUS;

ALGORITHMS; ASYMPTOMATIC DISEASES; BASIC REPRODUCTION NUMBER; BETACORONAVIRUS; CELL PHONE; CHINA; CONTACT TRACING; CORONAVIRUS INFECTIONS; EPIDEMICS; HUMANS; INFECTION CONTROL; MOBILE APPLICATIONS; MODELS, THEORETICAL; PANDEMICS; PNEUMONIA, VIRAL; PROBABILITY; QUARANTINE; TIME FACTORS;

EID: 85084911471     PISSN: 00368075     EISSN: 10959203     Source Type: Journal    
DOI: 10.1126/science.abb6936     Document Type: Article

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