Oberwolfach 2023:   Design and Analysis of Infectious Disease Studies

19 - 25 February 2023, organisers Caroline Colijn, Betz Halloran, Phil O'Neill, Pieter Trapman

Participants and presentations

Kari Auranen (Turku)
Frank Ball (Nottingham)    An epidemic model with short-lived mixing groups
Martin Bootsma (Utrecht)    A Bayesian inference method to estimate transmission trees with multiple introductions applied to SARS-CoV- 2 in Dutch mink farms
Tom Britton (Stockholm)    How did behavioral patterns, seasonality and virus strains affect transmission during Covid-1
Andrea Brizzi (London)    Phylogenetic estimation of HIV time since infection
Caroline Colijn (Burnaby)    Does branching now imply branching next? Testing for exchangeability in timed phylogenies
David Earn (Hamilton)    Revealing disease ecology from historical records over the last seven centuries
John Edmunds (LSHTM)
Rosalind Eggo (LSHTM)    Transmission dynamics of SARS-CoV-2 in a strictly-Orthodox Jewish community in the UK
Martin Eichner (Tubingen)
Simon Frost (Microsoft)    Open science approaches to the mathematical modeling of infectious disease
Isaac Goldstein (Irvine)    Semiparametric Inference of the effective reproduction number dynamics from wastewater gene counts with minimal compartmental Models
Elizabeth Halloran (Washington)
Niel Hens (Hasselt/Antwerp)
Edward Ionides (Michigan)    An iterated block particle filter for interence on coupled dynamic systems with shared and unit-specific parameters
Valerie Isham (UCL)
Eben Kenah (Columbus)
Michelle Kendall (Warwick)    Epidemiological insights from the NHS COVID-19 contact tracing app    (paper)
Aaron King (Michigan)    Exact phylodynamic likelihood
Don Klinkenberg (RIVM)    A Bayesian inference method to estimate transmission trees with multiple introductions applied to SARS-CoV- 2 in Dutch mink farms
Mirjam Kretzschmar (RIVM)
Theodore Kypraios (Nottingham)    Recent advances on integrating epidemiological and whole genome sequence data for effectively analysing infectious disease outbreak data
KaYin Leung (RIVM)
Ira Longini (Florida)    Statistical and mathematical details of trials for estimating vaccine effectiveness for emerging infectious disease threats
Emma McBryde (James Cook)
Joel Miller (Harvard)
Denis Mollison (Heriot-Watt)
Nicola Mulberry (Burnaby)    A nested model for pneumococcal population dynamics
Johannes Muller (München)    Parameter estimation in graph-based models from contact-tracing data”
Nicola Muller (Seattle)    Bayesian inference of timed phylogenetic networks from genomic sequences
Philip ONeill (Nottingham)
Julia Palacios (Stanford)
Lorenzo Pellis (Manchester)
Oliver Ratmann (London)    Flow models to interpret population-based deep- sequence pathogen data, with application to longitudinal sequence and surveillance data from East Africa
Mick Roberts (Massey)    How immune dynamics shape multi-season epidemics: a continuous-discrete model in one dimensional antigenic space
Gianpaolo Scalia Tomba (Roma)
Simon Spencer (Warwick)
Claudio Struchiner (Rio de Janeiro)
Alice Thompson (Nottingham)    Multi-strain models for nosocomial infections
Panayiota Touloupou (Warwick)
Pieter Trapman (Utrecht)
Michiel van Boven (RIVM)
Jacco Wallinga (RIVM)
Daniel Wilson (Oxford)    Doublethink: Identifying epidemiological risk factors in UK Biobank using simultaneous Bayesian/frequentist model averaging
Martin Wolkewitz (Freiburg)
Chris Wymant (Oxford)    Digital Contact Tracing for COVID-19: from Conception to Evaluation    (paper1, paper2)
Jason Xu (Durham)    Likelihood-based inference for stochastic epidemic models via data augmentation
Dongni Zhang (Stockholm)    Epidemic models wth manual and digital C

Last edited 8th March 2023