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Amy Gimma

Researcher at University of London

Publications -  57
Citations -  14215

Amy Gimma is an academic researcher from University of London. The author has contributed to research in topics: Medicine & Population. The author has an hindex of 21, co-authored 42 publications receiving 10007 citations.

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Early dynamics of transmission and control of COVID-19: a mathematical modelling study.

TL;DR: A stochastic transmission model is combined with data on cases of coronavirus disease 2019 (COVID-19) in Wuhan and international cases that originated inWuhan to estimate how transmission had varied over time during January, 2020, and February, 2020.
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Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts

TL;DR: In this article, the authors used a stochastic transmission model to assess if isolation and contact tracing are able to control onwards transmission from imported cases of COVID-19, and they used the model to quantify the potential effectiveness of contact tracing and isolation of cases at controlling a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-like pathogen.
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Estimated transmissibility and impact of SARS-CoV-2 lineage B.1.1.7 in England.

TL;DR: Using a variety of statistical and dynamic modeling approaches, the authors estimate that this variant has a 43 to 90% (range of 95% credible intervals, 38 to 130%) higher reproduction number than preexisting variants, and a fitted two-strain dynamic transmission model shows that VOC 202012/01 will lead to large resurgences of COVID-19 cases.

Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts

TL;DR: A mathematical model is used to assess if isolation and contact tracing are able to control onwards transmission from imported cases of COVID-19 and quantify the potential effectiveness of contact tracing and isolation of cases at controlling a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-like pathogen.