title: Capturing escape in infectious disease dynamics.
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.
authors: Department of Ecology and Evolutionary Biology, University of Michigan, 830 North University Avenue, Ann Arbor, MI 48109, USA.
authors: Sarah
authors: S
authors: Cobey
authors: Katia
authors: K
authors: Koelle
mesh_terms: D005075:Biological Evolution; D014644:Genetic Variation; D012328:RNA Viruses / Q000235:genetics*; D013997:Time Factors; D014777:Virus Diseases / Q000453:epidemiology* / Q000235:genetics*