Aaron A. King

TL;DR: This article explains and develops a method based on the Ornstein‐Uhlenbeck (OU) process, first proposed by Hansen, that allows to translate hypotheses regarding adaptation in different selective regimes into explicit models, to test the models against data using maximum‐likelihood‐based model selection techniques, and to infer details of the evolutionary process.

TL;DR: This work presents a new method that makes maximum likelihood estimation feasible for partially-observed nonlinear stochastic dynamical systems (also known as state-space models) where this was not previously the case.

TL;DR: It is found that the asymptomatic ratio in cholera is far higher than had been previously supposed and that the immunity derived from mild infections wanes much more rapidly than earlier analyses have indicated.

TL;DR: This is the first quantitative evidence that short-term cross-protection exists since human experimental infection studies performed in the 1950s and will impact strategies for designing dengue vaccine studies, future multi-Strain modelling efforts, and the understanding of evolutionary pressures in multi-strain disease systems.

TL;DR: It is demonstrated that plug-and-play methods permit the development of a modelling and inference framework applicable to data from both large and small populations and obtains novel insights into the nature of heterogeneity in mixing.