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Although it was initially planned to work with flocks of similar size, the number of animals within a herd varied a lot between two consecutive surveys, doubling or halving in some cases2.
In the model, disease spread during the time period between two consecutive surveys was considered, either from undetected infections within the domestic population or from imported infected animals.
A time window of three weeks between two consecutive surveys (20 ± 5 days) was used for the assessment of test-retest reliability.
In this application, a risk assessment was conducted to estimate the probability of hazard introduction (e.g. enzootic bovine leucosis) during a one-year period between two consecutive surveys.
The first objective of the study, to regard the consideration of infection spread between two consecutive surveys was achieved by the introduction of BSSF and BSSFadj for spread from domestic herds and imported animals, respectively.
Depending on the infectious agent's epidemiology, the model allowed in the worst case scenario only for an increase of HP (BSSF ≥1) between two consecutive surveys, whereas the alternative scenario allowed also for a decrease of HP between two surveys (BSSF values < 1 to ≥1).
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Annual weight change was calculated as the difference in weight between AusDiab 1 and 2 (period 1), or AusDiab 2 and 3 (period 2), divided by the follow-up time between the two consecutive surveys.
Annualised WC change was calculated as the difference in WC between AusDiab 1 and 2, or AusDiab 2 and 3, divided by the follow-up time between the two consecutive surveys.
Similarly, two consecutive surveys found a major increase in TH use from 28.4 to 85.6 % between 2006 and 2010 in the United Kingdom [15, 19].
In this approach we use basin-wide abundance estimates from two consecutive surveys to calculate mortality rates.
These analyses were performed by using physician registration numbers to cross-link data from two consecutive surveys.
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