Quantitative risk assessment for African horse sickness in live horses exported from South Africa

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dc.contributor.author Sergeant, Evan S.
dc.contributor.author Grewar, John Duncan
dc.contributor.author Weyer, Camilla Theresa
dc.contributor.author Guthrie, Alan John
dc.date.accessioned 2016-05-31T06:31:31Z
dc.date.available 2016-05-31T06:31:31Z
dc.date.issued 2016-03-17
dc.description S1 Dataset. Simulation results for base scenarios. en_ZA
dc.description S2 Dataset. Simulation results for comparison of high and low PCR sensitivity. en_ZA
dc.description S3 Dataset. Simulation results for sensitivity analysis on breakdown of vector protection during quarantine. en_ZA
dc.description S4 Dataset. Simulation results for sensitivity analysis on breakdown of vector protection during loading. en_ZA
dc.description S1 Fig. Map of AHS Controlled Area of South Africa. en_ZA
dc.description S2 Fig. Results of sensitivity analysis on the probability of breakdown of vector protection during pre-export quarantine. A, Low-risk area, Breakdown = gamma(24, 2191); B, Low-risk area, Breakdown = gamma(1, 5000); C, Low-risk area, Breakdown = gamma(1, 500); D, Lowrisk area, Breakdown = gamma(1, 50); E, Low-risk area, Breakdown = gamma(1, 10); F, Low-risk area, Breakdown = gamma(1, 5); G, Endemic area, Breakdown = gamma(24, 2191); H, Endemic area, Breakdown = gamma(1, 5000); I, Endemic area, Breakdown = gamma(1, 500); J, Endemic area, Breakdown = gamma(1, 50); K, Endemic area, Breakdown = gamma(1, 10); L, Endemic area, Breakdown = gamma(1, 5). en_ZA
dc.description S3 Fig. Results of sensitivity analysis on the probability of breakdown of vector protection during loading. A, Low-risk area, LoadingBreakdown = gamma(1, 500); B, Low-risk area, LoadingBreakdown = gamma(1, 50); C, Low-risk area, LoadingBreakdown = gamma(1, 10); D, Low-risk area, LoadingBreakdown = gamma(1, 5); E, Endemic area, LoadingBreakdown = gamma(1, 500); F, Endemic area, LoadingBreakdown = gamma(1, 50); G, Endemic area, LoadingBreakdown = gamma(1, 10); H, Endemic area, LoadingBreakdown = gamma(1, 5). en_ZA
dc.description.abstract African horse sickness (AHS) is a severe, often fatal, arbovirus infection of horses, transmitted by Culicoides spp. midges. AHS occurs in most of sub-Saharan Africa and is a significant impediment to export of live horses from infected countries, such as South Africa. A stochastic risk model was developed to estimate the probability of exporting an undetected AHS-infected horse through a vector protected pre-export quarantine facility, in accordance with OIE recommendations for trade from an infected country. The model also allows for additional risk management measures, including multiple PCR tests prior to and during preexport quarantine and optionally during post-arrival quarantine, as well as for comparison of risk associated with exports from a demonstrated low-risk area for AHS and an area where AHS is endemic. If 1 million horses were exported from the low-risk area with no post-arrival quarantine we estimate the median number of infected horses to be 5.4 (95% prediction interval 0.5 to 41). This equates to an annual probability of 0.0016 (95% PI: 0.00015 to 0.012) assuming 300 horses exported per year. An additional PCR test while in vector-protected post-arrival quarantine reduced these probabilities by approximately 12-fold. Probabilities for horses exported from an area where AHS is endemic were approximately 15 to 17 times higher than for horses exported from the low-risk area under comparable scenarios. The probability of undetected AHS infection in horses exported from an infected country can be minimised by appropriate risk management measures. The final choice of risk management measures depends on the level of risk acceptable to the importing country. Introduction en_ZA
dc.description.department Equine Research Centre en_ZA
dc.description.librarian am2016 en_ZA
dc.description.sponsorship The participation of ES in this research was funded by private donors through the Equine Health Fund of South Africa, a division of Wits Health Consortium (Pty) Ltd (http://www.equinehealthfund. co.za/Home.aspx). en_ZA
dc.description.sponsorship The Equine Research Centre is supported by South African horse industry funding, through the Equine Health Fund. en_ZA
dc.description.uri http://www.plosone.org en_ZA
dc.description.uri http://www.equinehealthfund.co.za/Home.aspx en_ZA
dc.identifier.citation Sergeant ES, Grewar JD, Weyer CT, Guthrie AJ (2016) Quantitative Risk Assessment for African Horse Sickness in Live Horses Exported from South Africa. PLoS ONE 11(3): e0151757. DOI: 10.1371/journal.pone.0151757. en_ZA
dc.identifier.issn 1932-6203
dc.identifier.other 10.1371/journal.pone.0151757
dc.identifier.uri http://hdl.handle.net/2263/52799
dc.language.iso en en_ZA
dc.publisher Public Library of Science en_ZA
dc.rights © 2016 Sergeant et al. This is an open access article distributed under the terms of the Creative Commons Attribution License. en_ZA
dc.subject Risk management measures en_ZA
dc.subject Infections en_ZA
dc.subject Sub-Saharan Africa en_ZA
dc.subject African horse sickness en_ZA
dc.subject AHS
dc.subject.lcsh Horses -- Diseases en_ZA
dc.title Quantitative risk assessment for African horse sickness in live horses exported from South Africa en_ZA
dc.type Article en_ZA


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