Poster session 5PM to 7PM Monday the 13th

• Irene Garcia-Fogeda - Within-host modeling to measure dynamics of antibody responses after natural infection or vaccination: A systematic review
• Raiha Browning - A flexible, random histogram kernel for discrete-time Hawkes processes
• Adam Howes - Integrated nested Laplace approximations for extended latent Gaussian models, with application to the Naomi HIV model
• Ian Roberts - Bayesian Inference for the Structured Coalescent
• David Helekal - Bayesian Inference of Fitness Cost of Antimicrobial Resistance from Genomic Data
• Joseph Marsh - A Bayesian approach to integrate epidemiological and whole genome sequence data for analysing infectious disease outbreaks
• Sebastiano Grazzi - PDMP samplers for Bayesian models in epidemics.
• Joshua Blake - Bayesian combination of longitudinal studies to estimate the duration of SARS-CoV-2 PCR positivity in the general population
• Giulia Della Croce - A new approach for the estimation of the contagiousness ratio between two viral strains
• Hannah Bensoussane - Bayesian Individual-level Infectious Disease Modelling
• Elaine Ferguson - Inferring the impact of recent local rabies cases on human responses to exposed dogs and exploring the consequences for outbreak sizes
• Cathal Walsh - Statistical Communication with Decision Makers During COVID Response
• Evandro Konzen - Efficient Bayesian modelling of infectious diseases in wildlife: an application to bovine tuberculosis in badgers
• Wei Zhang - Bayesian Poisson Regression and Decomposition Model for Learning Mortality Pattern Changes during COVID-19 Pandemic
• Molly Cui - Modelling and Bayesian Sequential Learning of Latent Epidemic Dynamics
• Wala Areed - Spatial non-parametric Bayesian clustered regression coefficients