Quantitative analysis of porcine reproductive and respiratory syndrome (PRRS) viremia profiles from experimental infection: a statistical modelling approach

PloS One
Zeenath U IslamAndrea B Doeschl-Wilson

Abstract

Porcine reproductive and respiratory syndrome (PRRS) is one of the most economically significant viral diseases facing the global swine industry. Viremia profiles of PRRS virus challenged pigs reflect the severity and progression of infection within the host and provide crucial information for subsequent control measures. In this study we analyse the largest longitudinal PRRS viremia dataset from an in-vivo experiment. The primary objective was to provide a suitable mathematical description of all viremia profiles with biologically meaningful parameters for quantitative analysis of profile characteristics. The Wood's function, a gamma-type function, and a biphasic extended Wood's function were fit to the individual profiles using Bayesian inference with a likelihood framework. Using maximum likelihood inference and numerous fit criteria, we established that the broad spectrum of viremia trends could be adequately represented by either uni- or biphasic Wood's functions. Three viremic categories emerged: cleared (uni-modal and below detection within 42 days post infection(dpi)), persistent (transient experimental persistence over 42 dpi) and rebound (biphasic within 42 dpi). The convenient biological interpretation of the model p...Continue Reading

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Citations

Mar 11, 2016·Infection, Genetics and Evolution : Journal of Molecular Epidemiology and Evolutionary Genetics in Infectious Diseases·Nanhua ChenRaymond R R Rowland
Apr 8, 2017·Veterinary Microbiology·Jack DekkersGraham Plastow
Aug 15, 2017·Journal of Animal Science·H A Mulder, H Rashidi
Jun 8, 2019·Journal of Animal Science·Glòria AbellaLorenzo Fraile
Jan 31, 2019·BMC Systems Biology·Natacha GoAndrea Doeschl-Wilson
Jun 20, 2019·Journal of Animal Science·Glòria AbellaLorenzo Fraile

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Methods Mentioned

BETA
PCR

Software Mentioned

SAS

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