Development of a stochastic agent-based model to evaluate surveillance strategies for detection of emergent porcine reproductive and respiratory syndrome strains

Table 3 Description of porcine reproductive and respiratory syndrome site-level surveillance scenarios investigated

Scenario^a	Type of sampling	Design prevalence (number of sites sampled)
Random_1	Random	1% (23)
Random_2	Random	2% (13)
Random_5	Random	5% (5)
HR_1	Risk based - High-risk^b	1% (23)
HR_2	Risk-based - High-risk^b	2% (13)
HR_5	Risk-based - High-risk^b	5% (5)
HC_1	Risk-based - High-consequence^c	1% (23)
HC_2	Risk-based - High-consequence^c	2% (13)
HC_5	Risk-based - High-consequence^c	5% (5)
HR/HC_1	Risk-based - High-risk and high-consequence^d	1% (23)
HR/HC_2	Risk-based - High-risk and high-consequence^d	2% (13)
HR/HC_5	Risk-based - High-risk and high-consequence^d	5% (5)

^aEach scenario consisted of 1000 simulations
^bHigh-risk based sampling consisted of sampling of swine sites that were considered at the highest risk of being infected: sites that had low biosecurity (no shower-in facility and continuous animal flow)
^cHigh-consequence based sampling consisted of sampling of swine sites that were considered at the highest risk of infecting other sites: breeding sites
^dHigh-risk and high-consequence based sampling consisted of sampling of swine sites that had a combination of the highest risk of getting infected as well as the highest risk of infecting others: breeding herds that had low biosecurity (no shower-in facility and continuous animal flow) herds

ISSN: 1746-6148