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Research article - Peer-reviewed, 2022

Modelling environmentally mediated spread of livestock-associated methicillin-resistant Staphylococcus aureus in a pig herd

Tuominen, K. S.; Lewerin, S. Sternberg; Jacobson, M.; Rosendal, T.

Abstract

Infectious disease models are a useful tool to support within-herd disease control strategies. This study presents a stochastic compartment model with environmentally mediated transmission to represent the spread of livestock-associated methicillin-resistant Staphylococcus aureus (LA-MRSA) in a farrow-to finish pig herd. The aims of the study were to (1) construct a model of the spread of LA-MRSA that included spread of LA-MRSA through the environment; (2) parameterise the model to fit previously published observational data in order to obtain realistic LA-MRSA transmission rates; (3) and to investigate how changes in the mixing of animals in the farrowing and finishing units may affect the prevalence of LA-MRSA in a herd. The results showed that indirect transmission allowed LA-MRSA to persist in the herd without the assumption of persistently shedding individuals. Reducing the mixing of pigs upon entry to the finishing unit was also shown to lower the LA-MRSA prevalence in the unit if the initial LA-MRSA level in the unit was low, but at high prevalence, no effect of mixing was identified. In the farrowing unit, changing the proportion of piglets that were cross-fostered did not affect the within-herd LA-MRSA prevalence. The study demonstrates that there are several important knowledge gaps regarding the shedding and transmission of LA-MRSA in different animal age groups and further experimental studies are needed. This work also provides a new, robust and flexible model framework for the investigation of control and mitigation strategies for LA-MRSA and other infections in a pig herd. (c) 2021 The Author(s). Published by Elsevier B.V. on behalf of The Animal Consortium. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Keywords

Approximate Bayesian computation; Infectious disease model; Mixing of pigs; Parameterisation; Veterinary epidemiology

Published in

Animal
2022, volume: 16, number: 2, article number: 100450
Publisher: ELSEVIER

Authors' information

Swedish University of Agricultural Sciences, Department of Clinical Sciences
Rosendal, T.
National Veterinary Institute SVA

UKÄ Subject classification

Pathobiology
Animal and Dairy Science

Publication Identifiers

DOI: https://doi.org/10.1016/j.animal.2021.100450

URI (permanent link to this page)

https://res.slu.se/id/publ/117544