This chapter is concerned with methods for the analysis of data on outbreaks of infectious disease in which additional genomic information is available on the pathogen. Molecular typing data from viruses or bacteria isolated from individual patients can contain additional information on possible links in the contact network that have led to transmission. Higher similarity between isolates is likely indicative of a closer link in the transmission chain. Different approaches to modeling such data are reviewed, all of which have associated R packages
Whole genome sequencing of pathogens from multiple hosts in an epidemic offers the potential to inve...
The analysis of genetic diseases has classically been directed towards establishing direct links bet...
We present a rigorous statistical model that infers the structure of P. falciparum mixtures-includin...
To prevent infectious diseases from spreading, it is often very valuable to know how, when, where an...
This dissertation develops measures using epidemiologic contact and infection network information to...
<div><p>Identifying the source of transmission using pathogen genetic data is complicated by numerou...
We propose a mixture modelling framework for both identifying and exploring the nature of genotype–t...
There exists significant interest in developing statistical and computational tools for inferring ‘w...
There exists significant interest in developing statistical and computational tools for inferring 'w...
Genomic data is increasingly being used to understand infectious disease epidemiology. Isolates from...
Genetic sequences from pathogens can provide information about infectious disease dynamics that may ...
Observations on infectious diseases often consist of a sample of cases, distinguished by symptoms, a...
Genomic data is increasingly being used to understand infectious disease epidemiology. Isolates from...
Whole genome sequencing of pathogens from multiple hosts in an epidemic offers the potential to inve...
This thesis proposes and discusses a statistical model for interpreting forensic DNA mixtures. We de...
Whole genome sequencing of pathogens from multiple hosts in an epidemic offers the potential to inve...
The analysis of genetic diseases has classically been directed towards establishing direct links bet...
We present a rigorous statistical model that infers the structure of P. falciparum mixtures-includin...
To prevent infectious diseases from spreading, it is often very valuable to know how, when, where an...
This dissertation develops measures using epidemiologic contact and infection network information to...
<div><p>Identifying the source of transmission using pathogen genetic data is complicated by numerou...
We propose a mixture modelling framework for both identifying and exploring the nature of genotype–t...
There exists significant interest in developing statistical and computational tools for inferring ‘w...
There exists significant interest in developing statistical and computational tools for inferring 'w...
Genomic data is increasingly being used to understand infectious disease epidemiology. Isolates from...
Genetic sequences from pathogens can provide information about infectious disease dynamics that may ...
Observations on infectious diseases often consist of a sample of cases, distinguished by symptoms, a...
Genomic data is increasingly being used to understand infectious disease epidemiology. Isolates from...
Whole genome sequencing of pathogens from multiple hosts in an epidemic offers the potential to inve...
This thesis proposes and discusses a statistical model for interpreting forensic DNA mixtures. We de...
Whole genome sequencing of pathogens from multiple hosts in an epidemic offers the potential to inve...
The analysis of genetic diseases has classically been directed towards establishing direct links bet...
We present a rigorous statistical model that infers the structure of P. falciparum mixtures-includin...