Examining SARS-CoV-2 Interventions in Residential Colleges Using an Empirical Network.
Examining SARS-CoV-2 Interventions in Residential Colleges Using an Empirical Network.
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DOI:
10.1016/j.ijid.2021.10.008
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发表时间:
2021-12
期刊:
影响因子:
--
通讯作者:
Onnela JP
中科院分区:
文献类型:
--
作者:
Hambridge HL;Kahn R;Onnela JP
Objectives Universities have turned to SARS-CoV-2 models to examine campus reopening strategies. While these studies have explored a variety of modeling techniques, none have used empirical data. Methods In this study, we use an empirical proximity network of college freshmen obtained using smartphone Bluetooth to simulate the spread of the virus. We investigate the role of immunization, testing, isolation, mask wearing, and social distancing in the presence of implementation challenges and imperfect compliance. Results We show that frequent testing could drastically reduce the spread of the virus if levels of immunity are low, but its effects are limited if immunity is more ubiquitous. Furthermore, moderate levels of mask wearing and social distancing could lead to additional reductions in cumulative incidence, but their benefit decreases rapidly as immunity and testing frequency increase. However, if immunity from vaccination is imperfect or declines over time, scenarios not studied here, frequent testing and other interventions may play more central roles. Conclusions Our findings suggest that although regular testing and isolation are powerful tools, they have limited benefit if immunity is high or other interventions are widely adopted. If universities can attain even moderate levels of vaccination, masking, and social distancing, they may be able to relax the frequency of testing to once every four weeks.
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DOI:
10.1126/science.abg3055
发表时间:
2021-04-09
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Davies NG;Abbott S;Barnard RC;Jarvis CI;Kucharski AJ;Munday JD;Pearson CAB;Russell TW;Tully DC;Washburne AD;Wenseleers T;Gimma A;Waites W;Wong KLM;van Zandvoort K;Silverman JD;CMMID COVID-19 Working Group;COVID-19 Genomics UK (COG-UK) Consortium;Diaz-Ordaz K;Keogh R;Eggo RM;Funk S;Jit M;Atkins KE;Edmunds WJ
通讯作者:
Edmunds WJ
影响因子:
16.6
作者:
Cencetti G;Santin G;Longa A;Pigani E;Barrat A;Cattuto C;Lehmann S;Salathé M;Lepri B
通讯作者:
Lepri B
影响因子:
4.6
作者:
Lopman B;Liu CY;Le Guillou A;Handel A;Lash TL;Isakov AP;Jenness SM
通讯作者:
Jenness SM
影响因子:
2.3
作者:
Shin, Minsun;Hickey, Kasey
通讯作者:
Hickey, Kasey
影响因子:
4.3
作者:
Gressman, Philip T.;Peck, Jennifer R.
通讯作者:
Peck, Jennifer R.