Scientific Reports · 2018 · 38 citations · 13 references
Veterinary MedicineInfectious DiseasesPoultry ScienceDisease SurveillanceOutbreak DetectionPoultry HealthInfluenza-like Illness SurveillancePoultry Disease PreventionPoultry EpidemiologyPoultry Infectious DiseasesPoultry Production DiseasesThreshold-based AlertingAvian Influenza InfectionAvian Influenza VirusDisease Detection In PoultryMortality RatesMoving Average ThresholdsPoultry Disease SurveillanceSuspected Disease DetectionThresholds
The objective of this study was to identify effective reporting thresholds for suspicions of both highly pathogenic (HPAI) and low pathogenic avian influenza (LPAI) outbreaks in layer farms. Daily mortality and egg-production data from 30 Dutch farms with no record of AI infection were analysed and thresholds set. Mortality rates above or egg-production below these thresholds for two consecutive days would trigger an alarm sign. The following thresholds were identified for mortality: (i) A mortality threshold of 0.08% or 0.13% for layers kept indoors or with free-range access respectively, (ii) a 2.9 times higher mortality than the average weekly mortality of the previous week, and iii) a moving-average threshold that could be implemented for each specific farm. For egg-production: (i) a weekly ratio lower than 0.94 in egg-production drop, and (ii) a moving-average threshold. The accuracy of these thresholds was assessed by quantifying their sensitivity, specificity and time to trigger disease detection using data from 15 infected and 31 non-infected farms. New thresholds were more sensitive and signalled infection two to six days earlier than the presently used thresholds. A high Specificity (97-100%) was obtained by combining mortality and egg production thresholds in a serial approach to trigger an alarm.
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