Epidemiological processes leave a fingerprint in the pattern of genetic structure of virus populations. Here, we provide a new method to infer epidemiological parameters directly from viral sequence data. The method is based on phylogenetic analysis using a birth-death model (BDM) rather than the commonly used coalescent as the model for the epidemiological transmission of the pathogen. Using the BDM has the advantage that transmission and death rates are estimated independently and therefore enables for the first time the estimation of the basic reproductive number of the pathogen using only sequence data, without further assumptions like the average duration of infection. We apply the method to genetic data of the HIV-1 epidemic in Switze...
Since DNA sequencing techniques first became available almost 30 years ago, the amount of nucleic ac...
Abstract Heterogeneity in individual-level transmissibility can be quantified by the dispersion para...
Utilising genetic sequencing data to infer the biological parameters that govern the evolution of a ...
Epidemiological processes leave a fingerprint in the pattern of genetic structure of virus populatio...
The estimation of the basic reproduction number is essential to understand epidemic dynamics, and ti...
The control, prediction, and understanding of epidemiological processes require insight into how inf...
Inferring the dynamics of pathogen transmission during an outbreak is an important problem in infect...
Genetic sequences from pathogens can provide information about infectious disease dynamics that may ...
The HIV-1 epidemic in Europe is primarily sustained by a dynamic topology of sexual interactions amo...
Phylodynamic models use pathogen genome sequence data to infer epidemiological dynamics. With the in...
Assessing the danger of transition of HIV transmission from a concentrated to a generalized epidemic...
If viruses or other pathogens infect a single host, the outcome of infection may depend on the initi...
One of the primary objectives of infectious disease research is uncovering the direct\ud link that e...
To prevent infectious diseases from spreading, it is often very valuable to know how, when, where an...
While infectious disease outbreaks are often summarised by population averages such as the reproduct...
Since DNA sequencing techniques first became available almost 30 years ago, the amount of nucleic ac...
Abstract Heterogeneity in individual-level transmissibility can be quantified by the dispersion para...
Utilising genetic sequencing data to infer the biological parameters that govern the evolution of a ...
Epidemiological processes leave a fingerprint in the pattern of genetic structure of virus populatio...
The estimation of the basic reproduction number is essential to understand epidemic dynamics, and ti...
The control, prediction, and understanding of epidemiological processes require insight into how inf...
Inferring the dynamics of pathogen transmission during an outbreak is an important problem in infect...
Genetic sequences from pathogens can provide information about infectious disease dynamics that may ...
The HIV-1 epidemic in Europe is primarily sustained by a dynamic topology of sexual interactions amo...
Phylodynamic models use pathogen genome sequence data to infer epidemiological dynamics. With the in...
Assessing the danger of transition of HIV transmission from a concentrated to a generalized epidemic...
If viruses or other pathogens infect a single host, the outcome of infection may depend on the initi...
One of the primary objectives of infectious disease research is uncovering the direct\ud link that e...
To prevent infectious diseases from spreading, it is often very valuable to know how, when, where an...
While infectious disease outbreaks are often summarised by population averages such as the reproduct...
Since DNA sequencing techniques first became available almost 30 years ago, the amount of nucleic ac...
Abstract Heterogeneity in individual-level transmissibility can be quantified by the dispersion para...
Utilising genetic sequencing data to infer the biological parameters that govern the evolution of a ...