Branching process inspired models are widely used to estimate the effect...
Infectious disease epidemiologists routinely fit stochastic epidemic mod...
Bayesian inference is a popular and widely-used approach to infer phylog...
Near real-time monitoring of outbreak transmission dynamics and evaluati...
Stochastic epidemic models (SEMs) fit to incidence data are critical to
...
The human body is able to generate a diverse set of high affinity antibo...
Coalescent theory combined with statistical modeling allows us to estima...
Phylodynamics is a set of population genetics tools that aim at
reconstr...
The marginal likelihood of a model is a key quantity for assessing the
e...
Phylodynamics is an area of population genetics that uses genetic sequen...
Antibodies, an essential part of our immune system, develop in an intric...
In this chapter, we consider space-time analysis of surveillance count d...