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Table 2 Descriptions of baseline model parameters used to compare the true and apparent liter prevalence of PRRSV

From: 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

Parameter/variable

Distribution/function

Description

Source

\(p\)

Fixed = (range of values from 1 to 100%)

Probability of a piglet being positive in a room (prevalence)

Authors’ opinion

\(N\)

\(p \cdot T\)

Total number of positive piglets in the room

Calculation

\(T\)

\(\mathop \sum \limits_{i = 1}^{n} T_{i}\)

Total number of piglets in the room

Calculation

\(T_{i}\)

empirical {(), ()}*

Number of piglets in the i-th litter

Almeida et al. [23, 30]

\(n\)

Fixed = 56

Number of crates or litters in a room

Authors’ opinion

\(N_{i}\)

\(min \left\{ {Bin\left[ {\left( {N - \mathop \sum \limits_{j = 1}^{i - 1} N_{j} , pl} \right)} \right],{\text{T}}_{{\text{i}}} } \right\}\)

Number of positive piglets in i-th litter

Calculation

\(pl_{i}\)

\(\frac{{{\text{T}}_{{\text{i}}} }}{{T - \mathop \sum \nolimits_{j = 1}^{i - 1} T_{j} }} + \left( {1 - \frac{{{\text{T}}_{{\text{i}}} }}{{T - \mathop \sum \nolimits_{j = 1}^{i - 1} T_{j} }}} \right) \cdot c\)

Probability of success in this binomial process (i.e., allocation of positive piglets in a litter) for the i-th litter

Calculation

\(c\)

Fixed = 0.61

Clustering factor

Optimized based on Almeida et al. [30]

  1. *Empirical {(3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 25), (0.0092, 0.0092, 0.0046, 0.0046, 0.0553, 0.0691, 0.0922, 0.1014, 0.1982, 0.2074, 0.1244, 0.0783, 0.0415, 0.0046)}