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

被引:1642
作者
Ferretti, Luca [1 ]
Wymant, Chris [1 ]
Kendall, Michelle [1 ]
Zhao, Lele [1 ]
Nurtay, Anel [1 ]
Abeler-Dorner, Lucie [1 ]
Parker, Michael [2 ,3 ]
Bonsall, David [1 ,4 ]
Fraser, Christophe [1 ,5 ]
机构
[1] Univ Oxford, Li Ka Shing Ctr Hlth Informat & Discovery, Big Data Inst, Oxford, England
[2] Univ Oxford, Wellcome Ctr Eth & Humanities, Oxford, England
[3] Univ Oxford, Ethox Ctr, Oxford, England
[4] Univ Oxford, Oxford Univ NHS Trust, Oxford, England
[5] Univ Oxford, Wellcome Ctr Human Genet, Oxford, England
基金
英国惠康基金;
关键词
HONG-KONG; SARS; OUTBREAK; CORONAVIRUSES; FEASIBILITY; WUHAN; CHINA;
D O I
10.1126/science.abb6936
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The newly emergent human virus SARS-CoV-2 (severe acute respiratory syndrome-coronavirus 2) is resulting in high fatality rates and incapacitated health systems. Preventing further transmission is a priority. We analyzed key parameters of epidemic spread to estimate the contribution of different transmission routes and determine requirements for case isolation and contact tracing needed to stop the epidemic. Although SARS-CoV-2 is spreading too fast to be contained by manual contact tracing, it could be controlled if this process were faster, more efficient, and happened at scale. A contact-tracing app that builds a memory of proximity contacts and immediately notifies contacts of positive cases can achieve epidemic control if used by enough people. By targeting recommendations to only those at risk, epidemics could be contained without resorting to mass quarantines ("lockdowns") that are harmful to society. We discuss the ethical requirements for an intervention of this kind.
引用
收藏
页码:619 / +
页数:37
相关论文
共 45 条
[1]  
[Anonymous], 2020, EPIDEMIOLOGY TRANSMI
[2]   Presumed Asymptomatic Carrier Transmission of COVID-19 [J].
Bai, Yan ;
Yao, Lingsheng ;
Wei, Tao ;
Tian, Fei ;
Jin, Dong-Yan ;
Chen, Lijuan ;
Wang, Meiyun .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2020, 323 (14) :1406-1407
[3]  
BDI Pathogen Dynamics Group, 2020, DIG CONT TRAC SARS C
[4]  
Bi Q, 2020, EPIDEMIOLOGY TRANSMI, DOI DOI 10.1101/2020.03.03.20028423
[5]   COVID-19 control in China during mass population movements at New Year [J].
Chen, Simiao ;
Yang, Juntao ;
Yang, Weizhong ;
Wang, Chen ;
Barnighausen, Till .
LANCET, 2020, 395 (10226) :764-766
[6]  
China Centre for Disease Control, DISTR NEW COR PNEUM
[7]  
Dorigatti I., 2020, REPORT 4 SEVERITY 20
[8]  
Ferguson N. M., 2020, Report 9: Impact of non-pharmaceutical interventions (NPIs) to reduce COVID-19 mortality and healthcare demand, V10, P77482, DOI DOI 10.25561/77482
[9]  
Ferretti L., 2020, QUANTIFYING DYNAMICS
[10]   Factors that make an infectious disease outbreak controllable [J].
Fraser, C ;
Riley, S ;
Anderson, RM ;
Ferguson, NM .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2004, 101 (16) :6146-6151