Design and analysis of infectious disease studies. Abstracts from the workshop held February 18--24, 2018
type: Item
instance of: scholarly article
title: Design and analysis of infectious disease studies. Abstracts from the workshop held February 18--24, 2018
zbMATH Open document ID: 1409.00086
DOI: 10.4171/OWR/2018/7
published in: Oberwolfach Reports
publication date: 2019-03-15T00:00:00Z
review text: Summary: This was the fifth workshop on mathematical and statistical methods on 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 were routinely collected during disease outbreaks. Following the trail of the small mutations which continuously occur in different places of the pathogens' genomes, mathematical tools and computational algorithms were used to reconstruct transmission trees and contact networks.
Mathematics Subject Classification ID: 00B05
Mathematics Subject Classification ID: 00B25
Mathematics Subject Classification ID: 62-07
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 62N01
Mathematics Subject Classification ID: 62N05
Mathematics Subject Classification ID: 62P10
Mathematics Subject Classification ID: 92C60
Mathematics Subject Classification ID: 05C90
Mathematics Subject Classification ID: 62-06
Mathematics Subject Classification ID: 92D30
zbMATH DE Number: 7036465
describes a project that uses: BGPhazard
describes a project that uses: phybreak
describes a project that uses: panelPomp
describes a project that uses: phyloscanner
describes a project that uses: socialmixr
describes a project that uses: JStatCom
describes a project that uses: pomp
describes a project that uses: GRAPH
describes a project that uses: treespace
describes a project that uses: GitHub
MaRDI profile type: Publication
cites work: Inference for reaction networks using the linear noise approximation
cites work: Reproduction numbers for epidemic models with households and other social structures. I: Definition and calculation of \(R_{0}\)
cites work: Reproduction numbers for epidemic models with households and other social structures. II: comparisons and implications for vaccination
cites work: Iterated filtering
cites work: Inference for dynamic and latent variable models via iterated, perturbed Bayes maps
cites work: Estimating transmission from genetic and epidemiological data: a metric to compare transmission trees
full work available at URL: https://doi.org/10.4171/owr/2018/7
OpenAlex ID: W4243543085
description: scientific article; zbMATH DE number 7036465