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Sophie Meakin

Research Fellow

LSHTM
Keppel Street
London
WC1E 7HT
United Kingdom

I am currently a Research Fellow in Real-time Modelling of Infectious Disease Outbreaks and joined the School in April 2020. I recently completed my PhD in infectious disease modelling at the University of Warwick and also worked as a consultant for the World Health Organisation during the 2018 - 2020 Ebola outbreak in the Democratic Republic of Congo.

Affiliations

Department of Infectious Disease Epidemiology
Faculty of Epidemiology and Population Health

Centres

Centre for the Mathematical Modelling of Infectious Diseases (CMMID)

Research

I am interested in the application of mathematical modelling and quantitative methods to support outbreak response, although my first foray into infectious disease modelling was much more theoretical: my PhD thesis looked at the effect of metapopulation network structure on endemic disease dynamics.

Research Area
Public health
Outbreaks
Modelling
Discipline
Epidemiology
Mathematical modelling
Statistics
Disease and Health Conditions
Infectious disease
Emerging Infectious Disease
Ebola

Selected Publications

How to improve outbreak response: a case study of integrated outbreak analytics from Ebola in Eastern Democratic Republic of the Congo.
Carter SE; Ahuka-Mundeke S; Pfaffmann Zambruni J; Navarro Colorado C; van Kleef E; Lissouba P; Meakin S; le Polain de Waroux O; Jombart T; Mossoko M
2021
BMJ global health
Real-time monitoring of COVID-19 dynamics using automated trend fitting and anomaly detection
Jombart T; Ghozzi S; Schumacher D; Taylor TJ; Leclerc QJ; Jit M; Flasche S; Greaves F; Ward T; Eggo RM
2021
Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Implications of the school-household network structure on SARS-CoV-2 transmission under school reopening strategies in England.
Munday JD; Sherratt K; Meakin S; Endo A; Pearson CAB; Hellewell J; Abbott S; Bosse NI; CMMID COVID-19 Working Group; Atkins KE
2021
Nature communications
Exploring surveillance data biases when estimating the reproduction number: with insights into subpopulation transmission of COVID-19 in England.
Sherratt K; Abbott S; Meakin SR; Hellewell J; Munday JD; Bosse N; CMMID COVID-19 Working Group; Jit M; Funk S
2021
Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Estimating the time-varying reproduction number of SARS-CoV-2 using national and subnational case counts
Abbott S; Hellewell J; Thompson RN; Sherratt K; Gibbs HP; Bosse NI; Munday JD; Meakin S; Doughty EL; Chun JY
2020
Wellcome Open Research
Short-term forecasts to inform the response to the Covid-19 epidemic in the UK
Funk S; Abbott S; Atkins BD; Baguelin M; Baillie JK; Birrell P; Blake J; Bosse NI; Burton J; Carruthers J
2020
medRxiv preprint - BMJ Yale
Practical considerations for measuring the effective reproductive number, R t.
Gostic KM; McGough L; Baskerville EB; Abbott S; Joshi K; Tedijanto C; Kahn R; Niehus R; Hay J; De Salazar PM
2020
medRxiv
Implications of the school-household network structure on SARS-CoV-2 transmission under different school reopening strategies in England
Munday J; Sherratt K; Meakin S; Endo A; Pearson C; Hellewell J; Abbott S; Bosse N; Atkins K; Wallinga J
2020
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