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Visualisation of Emulator Maximum implausibility for an SEIR model
SERIES -
Centre for the 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
Webinar
SERIES -
Centre for the 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
Webinar
SERIES -
Malaria Centre
Centre for the Mathematical Modelling of Infectious Diseases
Centre on Climate Change and Planetary Health

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

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

Assessing impact of government interventions on COVID-19

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

Applying contact data and matrices to COVID-19 modelling

Dr Laura Guzmán-Rincón, University of Warwick
Webinar
SERIES -
Centre for the 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 Андрей Сизов on Unsplash
Virtual
Conference/Symposium
SERIES -
Antimicrobial Resistance Centre
Centre for the Mathematical Modelling of Infectious Diseases

RESIST2

Webinar
SERIES -
Centre for the Mathematical Modelling of Infectious Diseases

Why we couldn’t find the best disease control option even if we were omniscient

Pictured left to right: Professor Sir Chris Whitty, Professor Bhramar Mukherjee and Professor Dame Angela McLean
Virtual
Conference/Symposium
SERIES -
Centre for Statistical Methodology
Centre for the Mathematical Modelling of Infectious Diseases
Centre for Epidemic Preparedness and Response

How can mathematical and statistical models combine with big data to improve our response to pandemics?

Dr Renata Retkute
Webinar
SERIES -
Centre for the Mathematical Modelling of Infectious Diseases
Centre for Statistical Methodology

Adaptive multiple importance sampling for infectious disease modelling

Dr Maria Van Kerkhove, WHO
Webinar
SERIES -
Centre for the Mathematical Modelling of Infectious Diseases

Centre for Mathematical Modelling of Infectious Diseases Annual Lecture 2021 with Dr Maria D. Van Kerkhove

Pierre Nouvellet
Webinar
SERIES -
Centre for the Mathematical Modelling of Infectious Diseases
Coronavirus (COVID-19) outbreak

Short-term forecasts of COVID-19