Design and Analysis of Infectious Disease Studies

  • Caroline Colijn

    Simon Fraser University, Burnaby, Canada
  • M. Elizabeth Halloran

    University of Washington, Seattle, USA
  • Philip D. O'Neill

    University of Nottingham, UK
  • Pieter Trapman

    Rijksuniversiteit Groningen, Netherlands
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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