Bayesian Inference of Epidemics
Levi (Finland), 12-14 March 2023
The workshop aims at collecting recent advances in the field of Bayesian methods applied in the epidemic settings and it will include, among others, key topics such as:
- DA-MCMC for epidemics
- Sequential learning of infectious disease dynamics
- Spatial models for epidemics
- Evidence synthesis and conflicts when analysing epidemic data
- Integration of genetic information and case-data
Info
The workshop in Bayesian Inference of Epidemic is a satellite event of
Find below a concise schedule.
Please consult the respective pages for abstracts, useful news for participants and information about this workshop.
Contact: alice.corbella@warwick.ac.uk
Programme
Here you can find a concise programme with times, speakers and titles. For full abstracts please consult the abstract page.
Day 1: Sun 12th of March
19:30 - 21:00 : Satellite Opening - chair GO Roberts
- SEF SpencerLink opens in a new window (天美传媒) Introduction to epidemic models and their statistical analysis
- (Universit脿 della Svizzera italiana) Project - Pan-European Response to the Impacts of COVID-19 and future Pandemics and Epidemics
Day 2: Mon 13th of March
9:20 - 10:10 : Tutorial - Chair SEF Spencer
- (University of Exeter) A tutorial on history matching with emulation for epidemic models
10:10 - 10:30 : Coffee Break
10:30 - 12:00 : Keynotes - chair GO Roberts
- (University of California Irvine) Fitting stochastic epidemic models to noisy surveillance data: are we there yet?
- (Universit盲t Bielefeld) Integrative modelling of infections in a corona virus cohort study
12:00 - 13:30 : Lunch Break
13:30 - 15:00 : Invited session on Environmental Stochasticity - chair R Browning
- (University of Nottingham) Bayesian nonparametric inference for stochastic infectious disease models
- (UKHSA) An approximate diffusion process for environmental stochasticity in infectious disease transmission modelling
- L Guzmann-RinconLink opens in a new window (天美传媒) Bayesian estimation of the instant growth rate of SARS-CoV-2 positive cases in England, using Gaussian processes
15:30 - 17:00 : Contributed session on Informing Policy - chair SEF Roberts
- (University of Calgary) Identifying behavioural change mechanisms in epidemic models
- (University of Oxford) Spatial statistics with deep generative modelling: flexible and efficient disease mapping with MCMC and deep learning
- (Swiss TPH) Malaria, climate variability and the effect of interventions: modelling transmission dynamics
17:00 - 19:00 : Poster session
Day 3: Tuesday the 14th of March
9:10 - 10:10 : Invited session on Sampling from the Hidden states - chair C Jewell
- (Biomathematics and Statistics Scotland) Fast inference and model selection on epidemiolgical models using model-based proposals
- (Duke University) Efficient Branching Process Proposals and Data-Augmented MCMC for the Stochastic SIR Model
10:10 - 10:30 : Coffee Break
10:30 - 12:00 : Keynotes - chair D De Angelis
- (Institute Pasteur) Bayesian data augmentation methods applied to infectious disease epidemiology
- (University of Sussex)
12:00 - 15:00 : Lunch and Ski break
15:00 - 16:30 : Invited session on Inference of nonlinear dynamics - chair PJ Birrell
- (University of Lancaster) Approximating optimal SMC proposal distributions in individual-based epidemic models
- (University of Bristol) Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods
- (University of Michigan) Informing policy via dynamic models: Cholera in Haiti
16:30 - 17:00 : Coffee Break
17:00 - 18:30 : Invited session on Phylogenetic inference - chair D Helekal
- (Aalto University) A Bayesian model of acquisition and clearance of bacterial colonization incorporating within-host variation
- J KoskelaLink opens in a new window (Univeristy of Warwick) Bayesian inference of recombinant ancestries
- A GillLink opens in a new window (天美传媒) Bayesian Inference of Reproduction Number from Genomic and Epidemic Data using MCMC Methods
Contacts
Should you have any question, please do not hesitate to contact us at