Sentence examples for batch prevalence from inspiring English sources

Batch prevalence at slaughter for pleurisy lesions ranged from 18.7% to 26.8% and for Mycoplasma hyopneumoniae-like lesions from 1.7%to19.2%2% during the years preceding the study (see also Table 1).

Batches were categorised into lesion present/absent using the frequency distribution of the batch prevalence for the different pathologies to determine data-derived cut-off points (further details are provided in Additional file 1: Figure S1 and Figure S2).

For pleurisy, thee categories were also identified based on within batch prevalence: PL high) when more than seven pigs were affected; PL moderate-low) when between one and seven pigs were affected and PL zero) when no pigs were affected.

For enzootic pneumonia-like lesions, three categories were identified based on within batch prevalence: EP high) when more than 25 pigs were affected with any degree of severity; EP moderate-low) when between one and 25 pigs were affected; and EP zero) when no pigs were affected.

High batch prevalence of enzootic pneumonia-like lesions is interrelated to high levels of pleurisy, which is an expected finding as both respiratory conditions share common husbandry risk factors [ 6] and Mycoplasma hyopneumoniae (main pathogen for enzootic pneumonia) contributes to the occurrence of pleurisy [ 4].

The approach used in this study, investigating batch level prevalence, not only maintains coherence with the nature of pig production, but would have also assisted in the identification of any association when two pathologies may be part of the same causal pathway (e.g. milk spots and hepatic scarring).

The corresponding SHM prevalences for these 65 batches ranged from 0to33%3%, with 14 batches having a prevalence of 0 at SHM.

Using initial data from the first three batches, we calculated prevalence of self-reported PBS symptoms.

These sampling procedures at the abattoirs could not be confirmed due to the nature of the data, so an analysis was performed excluding batches where the prevalence of pericarditis at SHM was 0. The meat inspection and laboratory personnel were not aware that the present investigation would be initiated and were blinded to the results of any other examinations.

These difficulties can be attributed in large part to the low S/N inherent to omics datasets, the prevalence of batch effects in omics data, and molecular heterogeneity between samples and within populations [ 30].

In addition, to reduce the prevalence of batch effects, factors such as sample collection and processing procedures, laboratory personnel, study run-dates, reagent sources, measurement instruments, and data processing methods should be carefully controlled [ 37 39].