scispace - formally typeset
W

W. John Edmunds

Researcher at University of London

Publications -  281
Citations -  30826

W. John Edmunds is an academic researcher from University of London. The author has contributed to research in topics: Population & Vaccination. The author has an hindex of 75, co-authored 252 publications receiving 24018 citations. Previous affiliations of W. John Edmunds include National Health Service & City University London.

Papers
More filters
Journal ArticleDOI

Social contacts and mixing patterns relevant to the spread of infectious diseases.

TL;DR: This study provides the first large-scale quantitative approach to contact patterns relevant for infections transmitted by the respiratory or close-contact route, and the results should lead to improved parameterisation of mathematical models used to design control strategies.
Journal ArticleDOI

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.
Journal ArticleDOI

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.