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Seminar
SERIES -
Centre for Mathematical Modelling of Infectious Diseases

Different ways to think about and use information on viral diversity

LSHTM, Keppel Street, London, United Kingdom
Event card with text overlay: CMMID Annual Lecture 2022 with Dr Jessica Metcalf
Lecture
SERIES -
Centre for Mathematical Modelling of Infectious Diseases

Centre for Mathematical Modelling of Infectious Diseases Annual Lecture 2022 with Dr Jessica Metcalf

Event card against teal background with text overlay that says LSHTM Event
Seminar
SERIES -
Centre for Mathematical Modelling of Infectious Diseases

"Debugging" code to gain insights on controlling viruses transmitted by Aedes aegypti mosquitoes

LSHTM, Keppel Street, London, United Kingdom
SERIES -
Centre for Mathematical Modelling of Infectious Diseases

Computational modeling of COVID-19 transmission and intervention strategies in South Korea

SERIES -
Centre for Mathematical Modelling of Infectious Diseases

Neutralising antibodies as a correlate for predicting protection from COVID-19 disease

Visualisation of Emulator Maximum implausibility for an SEIR model
SERIES -
Centre for Mathematical Modelling of Infectious Diseases

Workshop: An Introduction to History Matching with Emulation using the R-package (hmer)

LSHTM, Keppel Street, London, United Kingdom
Nick Menzies, Harvard T.H. Chan
SERIES -
Centre for Mathematical Modelling of Infectious Diseases
TB Centre

Estimating the global disease burden associated with post-TB sequelae

A mother and her two children taking part in the MASSIV trial in Basse
SERIES -
Centre for Mathematical Modelling of Infectious Diseases
Centre on Climate Change and Planetary Health
Malaria Centre

World Malaria Day 2022: Climate change and vector-borne disease

SERIES -
Centre for Statistical Methodology
Centre for Mathematical Modelling of Infectious Diseases

Assessing impact of government interventions on COVID-19

SERIES -
Centre for Statistical Methodology
Centre for Mathematical Modelling of Infectious Diseases

Applying contact data and matrices to COVID-19 modelling

Dr Laura Guzmán-Rincón, University of Warwick
SERIES -
Centre for Mathematical Modelling of Infectious Diseases

Bayesian estimation of the instantaneous growth rate of SARS-CoV-2 positive cases in England, using Gaussian processes

Graphic depicting steps in an algorithm. Photo credit by Ðндрей Сизов on Unsplash
Conference/Symposium
SERIES -
Antimicrobial Resistance Centre
Centre for Mathematical Modelling of Infectious Diseases

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