Capturing escape in infectious disease dynamics

Trends in Ecology & Evolution
Sarah Cobey, Katia Koelle

Abstract

Identifying the causes of interannual variability in disease dynamics is important for understanding and managing epidemics. Traditionally, these causes have been classified as intrinsic (e.g. immunity fluctuations) or extrinsic (e.g. climate forcing); ecologists determine the relative contributions of these factors by applying statistical models to time series of cases. Here we address the problem of isolating the drivers of pathogen dynamics that are influenced by antigenic evolution. Recent findings indicate that many pathogens escape immunity in a punctuated manner; for them, we argue that time series of cases alone will be insufficient to isolate causal drivers. We detail observations that can reveal the presence of punctuated immune escape, and which can be used in new statistical approaches to identify extrinsic and intrinsic regulators of disease.

Citations

Oct 21, 2009·PloS One·Sébastien BallesterosBernard Cazelles
Jun 2, 2012·PLoS Computational Biology·Rafal MostowySebastian Bonhoeffer
Nov 9, 2010·Trends in Microbiology·Samuel AlizonRoland R Regoes
Jul 22, 2014·Annals of the New York Academy of Sciences·Sarah Cobey
Jan 9, 2015·Journal of the Royal Society, Interface·Konstans WellsDamien A Fordham
May 17, 2013·Journal of the Royal Society, Interface·R YaariL Stone
Mar 23, 2018·Journal of the Royal Society, Interface·Victor GarciaMarcus W Feldman
Dec 29, 2017·PLoS Pathogens·Pinky LangatSimon J Watson

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