Assessing biases in phylodynamic inferences in the presence of super-spreaders

• Published in: Veterinary research (Paris) Vol. 50; no. 1; p. 74
• Main Authors: Hidano, Arata, Gates, M Carolyn
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 27.09.2019; BioMed Central; BMC
• Subjects: Accuracy; Animal diseases; Animals; Computer Simulation; Disease transmission; Distribution; Epidemics; Epidemics - veterinary; Epidemiology; Evaluation; Foot and mouth disease; Foot-and-Mouth Disease - epidemiology; Foot-and-Mouth Disease - virology; Foot-and-Mouth Disease Virus - genetics; Gene mutation; Genetic aspects; Infectious diseases; Life Sciences; Livestock; Models, Statistical; New Zealand; Phylogenetics; Phylogeny; Population; Regression analysis; Research bias; Researchers; Sampling Studies; Simulation; Statistics; Studies; Veterinary research; Veterinary virology; New Zealand

Phylodynamic analyses using pathogen genetic data have become popular for making epidemiological inferences. However, many methods assume that the underlying host population follows homogenous mixing patterns. Nevertheless, in real disease outbreaks, a small number of individuals infect a disproport...