Design and Analysis of Infectious Disease Studies
Caroline Colijn
Simon Fraser University, Burnaby, CanadaM. Elizabeth Halloran
University of Washington, Seattle, USAPhilip D. O'Neill
University of Nottingham, UKPieter Trapman
Rijksuniversiteit Groningen, Netherlands
Abstract
This was the sixth workshop on mathematical and statistical methods for the transmission of infectious diseases. Building on epidemiologic models which were the subject of earlier workshops, this workshop concentrated on disentangling who infected whom by analysing high-resolution genomic data of pathogens which are routinely collected during outbreaks. Following the trail of the small mutations which continuously occur in different places of pathogens’ genomes, mathematical tools and computational algorithms were used to reconstruct transmission trees and contact networks. In the past three years these methods were developed and used particularly in the context of the SARS-Cov-2 (Covid-19) pandemic.
Cite this article
Caroline Colijn, M. Elizabeth Halloran, Philip D. O'Neill, Pieter Trapman, Design and Analysis of Infectious Disease Studies. Oberwolfach Rep. 20 (2023), no. 1
DOI 10.4171/OWR/2023/8