Multi-scale modelling reveals that early super-spreader events are a likely contributor to novel variant predominance.
Multi-scale modelling reveals that early super-spreader events are a likely contributor to novel variant predominance.
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DOI:
10.1098/rsif.2021.0811
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发表时间:
2022-04
期刊:
影响因子:
--
通讯作者:
Schiffer JT
中科院分区:
文献类型:
--
作者:
Goyal A;Reeves DB;Schiffer JT
The emergence of new SARS-CoV-2 variants of concern (VOC) has hampered international efforts to contain the COVID-19 pandemic. VOCs have been characterized to varying degrees by higher transmissibility, worse infection outcomes and evasion of vaccine and infection-induced immunologic memory. VOCs are hypothesized to have originated from animal reservoirs, communities in regions with low surveillance and/or single individuals with poor immunologic control of the virus. Yet, the factors dictating which variants ultimately predominate remain incompletely characterized. Here we present a multi-scale model of SARS-CoV-2 dynamics that describes population spread through individuals whose viral loads and numbers of contacts (drawn from an over-dispersed distribution) are both time-varying. This framework allows us to explore how super-spreader events (SSE) (defined as greater than five secondary infections per day) contribute to variant emergence. We find stochasticity remains a powerful determinant of predominance. Variants that predominate are more likely to be associated with higher infectiousness, an SSE early after variant emergence and ongoing decline of the current dominant variant. Additionally, our simulations reveal that most new highly infectious variants that infect one or a few individuals do not achieve permanence in the population. Consequently, interventions that reduce super-spreading may delay or mitigate emergence of VOCs.
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影响因子:
9.8
作者:
Althouse BM;Wenger EA;Miller JC;Scarpino SV;Allard A;Hébert-Dufresne L;Hu H
通讯作者:
Hu H
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:
13.6
作者:
Goyal A;Cardozo-Ojeda EF;Schiffer JT
通讯作者:
Schiffer JT
影响因子:
3.9
作者:
Alexander, H. K.;Day, T.
通讯作者:
Day, T.
影响因子:
64.8
作者:
Hale VL;Dennis PM;McBride DS;Nolting JM;Madden C;Huey D;Ehrlich M;Grieser J;Winston J;Lombardi D;Gibson S;Saif L;Killian ML;Lantz K;Tell RM;Torchetti M;Robbe-Austerman S;Nelson MI;Faith SA;Bowman AS
通讯作者:
Bowman AS