» Articles » PMID: 37055812

In-silico Characterization of the Relationship Between the Porcine Reproductive and Respiratory Syndrome Virus Prevalence at the Piglet and Litter Levels in a Farrowing Room

Overview
Publisher Biomed Central
Date 2023 Apr 13
PMID 37055812
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Family oral fluids (FOF) sampling has been described as a sampling technique where a rope is exposed to sows and respective suckling litters and thereafter wrung to obtain fluids. PCR-based testing of FOF reveals presence of PRRS virus RNA only at the litter level, as opposed to conventional individual-animal-based sampling methods that demonstrate PRRSV RNA at the piglet level. The relationship between the PRRSV prevalence at the individual piglet level and at the litter level in a farrowing room has not been previously characterized. Using Monte Carlo simulations and data from a previous study, the relationship between the proportion of PRRSV-positive (viremic) pigs in the farrowing room, the proportion of litters in the farrowing room with at least one viremic pig, and the likely proportion of litters to be positive by a FOF RT-rtPCR test in a farrowing room was characterized, taking into account the spatial distribution (homogeneity) of viremic pigs within farrowing rooms.

Results: There was a linear relationship between piglet-level- and litter-level prevalence, where the latter was always larger than the former. When the piglet-level prevalence was 1%, 5%, 10%, 20%, and 50%, the true-litter level prevalence was 5.36%, 8.93%, 14.29%, 23.21%, and 53.57%, respectively. The corresponding apparent-litter prevalence by FOF was 2.06%, 6.48%, 11.25%, 21.60%, and 51.56%, respectively.

Conclusion: This study provides matching prevalence estimates to help guide sample size calculations. It also provides a framework to estimate the likely proportion of viremic pigs, given the PRRSV RT-rtPCR positivity rate of FOF samples submitted from a farrowing room.

References
1.
Silva G, Schwartz M, Morrison R, Linhares D . Monitoring breeding herd production data to detect PRRSV outbreaks. Prev Vet Med. 2017; 148:89-93. DOI: 10.1016/j.prevetmed.2017.10.012. View

2.
Almeida M, Zhang M, Lopez W, Vilalta C, Sanhueza J, Corzo C . A comparison of three sampling approaches for detecting PRRSV in suckling piglets. Prev Vet Med. 2021; 194:105427. DOI: 10.1016/j.prevetmed.2021.105427. View

3.
Cho J, Deen J, Dee S . Influence of isolate pathogenicity on the aerosol transmission of Porcine reproductive and respiratory syndrome virus. Can J Vet Res. 2006; 71(1):23-7. PMC: 1635995. View

4.
Nauta M . Microbiological risk assessment models for partitioning and mixing during food handling. Int J Food Microbiol. 2005; 100(1-3):311-22. DOI: 10.1016/j.ijfoodmicro.2004.10.027. View

5.
Li Q, Noel-MacDonnell J, Koestler D, Goode E, Fridley B . Subject level clustering using a negative binomial model for small transcriptomic studies. BMC Bioinformatics. 2018; 19(1):474. PMC: 6292049. DOI: 10.1186/s12859-018-2556-9. View