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

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dc.contributor.author Grewar, John Duncan
dc.contributor.author Porphyre, Thibaud
dc.contributor.author Sergeant, Evan S.
dc.contributor.author Weyer, Camilla Theresa
dc.contributor.author Thompson, P.N. (Peter N.)
dc.date.accessioned 2020-05-12T08:24:10Z
dc.date.issued 2020-04
dc.description.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% and 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 2‐year period. The primary driver of surveillance outcomes was the passive surveillance component. Active surveillance components contributed minimally (<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 2‐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. en_ZA
dc.description.department Production Animal Studies en_ZA
dc.description.department Veterinary Tropical Diseases en_ZA
dc.description.embargo 2021-04-08
dc.description.librarian hj2020 en_ZA
dc.description.uri http://wileyonlinelibrary.com/journal/tbed en_ZA
dc.identifier.citation Grewar JD, Porphyre T, Sergeant ES, Theresa Weyer C, Thompson PN. Post-outbreak African horse sickness surveillance: A scenario tree evaluation in South Africa’s controlled area. Transboundary and Emerging Diseases 2020;00:1–17. https://doi.org/10.1111/tbed.13566. en_ZA
dc.identifier.issn 1865-1674 (print)
dc.identifier.issn 1865-1682 (online)
dc.identifier.other 10.1111/tbed.13566
dc.identifier.uri http://hdl.handle.net/2263/74541
dc.language.iso en en_ZA
dc.publisher Wiley en_ZA
dc.rights © 2020 Blackwell Verlag GmbH. Transboundary and Emerging Diseases. This is the pre-peer reviewed version of the following article : Post-outbreak African horse sickness surveillance: A scenario tree evaluation in South Africa’s controlled area. Transboundary and Emerging Diseases 2020;00:1–17. https://doi.org/10.1111/tbed.13566. The definite version is available at : http://wileyonlinelibrary.com/journal/tbed. en_ZA
dc.subject African horse sickness (AHS) en_ZA
dc.subject Freedom from disease en_ZA
dc.subject Scenario tree en_ZA
dc.subject Surveillance evaluation en_ZA
dc.title Post-outbreak African horse sickness surveillance : a scenario tree evaluation in South Africa’s controlled area en_ZA
dc.type Postprint Article en_ZA


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