Post-outbreak African horse sickness surveillance: A scenario tree evaluation in South Africa’s controlled area

John Duncan Grewar, Thibaud Porphyre, Evan S. Sergeant, Camilla Theresa Weyer, Peter Neil Thompson

Research output: Contribution to journalArticlepeer-review

Abstract

An African horse sickness (AHS) outbreak occurred in March and April 2016 in the controlled area of South Africa. This extended an existing trade suspension of live equids from South Africa to the European Union. In the post-outbreak period ongoing passive and active surveillance, the latter in the form of monthly sentinel surveillance and a stand-alone freedom from disease survey in March 2017, took place. We describe a stochastic scenario tree analysis of these surveillance components for 24 months, starting July 2016, in three distinct geographic areas of the controlled area. Given that AHS was not detected, the probability of being free from AHS was between 98.3% - 99.8% assuming that, if it were present, it would have a prevalence of at least one infected animal in 1% of herds. This high level of freedom probability had been attained in all three areas within the first 9 months of the two-year period. The primary driver of surveillance outcomes was the passive surveillance component. Active surveillance components contributed minimally (less than 0.2%) to the final probability of freedom. Sensitivity analysis showed that the probability of infected horses showing clinical signs was an important parameter influencing the system surveillance sensitivity. The monthly probability of disease introduction needed to be increased to 20% and greater to decrease the overall probability of freedom to below 90%. Current global standards require a two-year post-incursion period of AHS freedom before re-evaluation of free zone status. Our findings show that the length of this period could be decreased if adequately sensitive surveillance is performed. In order to comply with international standards, active surveillance will remain a component of AHS surveillance in South Africa. Passive surveillance, however, can provide substantial evidence supporting AHS freedom status declarations, and further investment in this surveillance activity would be beneficial.
Original languageEnglish
JournalTransboundary and Emerging Diseases
Early online date8 Apr 2020
DOIs
Publication statusE-pub ahead of print - 8 Apr 2020

Keywords

  • African horse sickness
  • Surveillance evaluation
  • Freedom from disease
  • Scenario tree

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