Simulation of Premovement Active Surveillance Protocols for Moving Finishing Pigs to a Harvest Facility from a Control Area during an Outbreak of African Swine Fever in the United States

IF 3.5 2区 农林科学 Q2 INFECTIOUS DISEASES
Peter J. Bonney, Sasidhar Malladi, Amos Ssematimba, Kathleen C. O’Hara, Marta D. Remmenga, Michelle Farr, Mickey Leonard, Catherine Y. Alexander, Benjamin Blair, Sylvia Wanzala Martin, Marie R. Culhane, Cesar A. Corzo
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Abstract

Movement restrictions are a critical component of response plans for an African swine fever (ASF) outbreak in the United States. These restrictions are likely to include requiring permits to move animals and products within, into, and out of 5-km control areas (CAs) established around confirmed positive farms. For quarantined finishing farms located within a CA, diagnostic testing is an expected criterion for receival of a permit to move pigs to a harvest facility or removal of quarantine. A stochastic disease transmission and active surveillance model were used to evaluate premovement active surveillance protocols varying by the number of samples and timing of sample collection before movement. Surveillance protocol scenarios were evaluated for several different sampling prioritization schemes; virus strains of medium or high virulence; barn sizes of 1,200, 2,400, and 4,800 pigs; and farms with average to high mortality and morbidity during routine production. Surveillance protocols that included prioritization schemes targeting dead pigs and pigs with clinical signs resulted in the highest probabilities of detection and the lowest numbers of infectious pigs at the time of movement in barns that went undetected. There was some evidence that targeting sick pigs prior to dead pigs may be more effective for moderately virulent strains. However, in most scenarios, including all highly virulent strain scenarios and moderately virulent strain scenarios in barn sizes of 1,200 with average farm performance, prioritization of dead versus sick pigs first did not have a large impact on the predicted outcomes. Increasing sample sizes improved outcomes, though only marginal gains were achieved once the available dead and sick were sampled. Predicted outcomes may be further improved by sampling the available dead and sick pigs in a barn across multiple days, though the associated increase in the probability of detection was minor.

Abstract Image

模拟美国非洲猪瘟疫情爆发期间将育成猪从控制区转移到收获设施的转移前主动监控规程
移动限制是美国非洲猪瘟 (ASF) 疫情应对计划的重要组成部分。这些限制措施可能包括要求在确诊阳性猪场周围设立的 5 公里控制区 (CA) 内、控制区内和控制区外移动动物和产品必须获得许可。对于位于 CA 内的隔离精养猪场,诊断检测是获得将猪转移到收获设施或解除隔离许可的预期标准。采用随机疾病传播和主动监控模型,评估移动前主动监控方案,该方案因样本数量和移动前样本采集时间而异。对几种不同的采样优先级方案、中等毒力或高毒力的病毒株、猪舍规模为 1,200 头、2,400 头和 4,800 头猪以及在常规生产过程中死亡率和发病率从一般到较高的猪场的监控方案进行了评估。监控方案包括针对死猪和有临床症状的猪的优先排序计划,结果是检测到的概率最高,在猪舍移动时未被检测到的感染猪数量最少。有证据表明,针对中等毒力的菌株,先检测病猪再检测死猪可能更有效。然而,在大多数情况下,包括所有高毒力菌株情况和中等毒力菌株情况下,在猪舍规模为 1,200 头且猪场表现一般的情况下,先处理死猪还是先处理病猪对预测结果的影响并不大。尽管在对现有死猪和病猪进行采样后只能取得微弱的收益,但增加采样规模可改善结果。通过对猪舍中可用的死猪和病猪进行多天采样,可进一步改善预测结果,但相关的检测概率增幅不大。
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来源期刊
Transboundary and Emerging Diseases
Transboundary and Emerging Diseases 农林科学-传染病学
CiteScore
8.90
自引率
9.30%
发文量
350
审稿时长
1 months
期刊介绍: Transboundary and Emerging Diseases brings together in one place the latest research on infectious diseases considered to hold the greatest economic threat to animals and humans worldwide. The journal provides a venue for global research on their diagnosis, prevention and management, and for papers on public health, pathogenesis, epidemiology, statistical modeling, diagnostics, biosecurity issues, genomics, vaccine development and rapid communication of new outbreaks. Papers should include timely research approaches using state-of-the-art technologies. The editors encourage papers adopting a science-based approach on socio-economic and environmental factors influencing the management of the bio-security threat posed by these diseases, including risk analysis and disease spread modeling. Preference will be given to communications focusing on novel science-based approaches to controlling transboundary and emerging diseases. The following topics are generally considered out-of-scope, but decisions are made on a case-by-case basis (for example, studies on cryptic wildlife populations, and those on potential species extinctions): Pathogen discovery: a common pathogen newly recognised in a specific country, or a new pathogen or genetic sequence for which there is little context about — or insights regarding — its emergence or spread. Prevalence estimation surveys and risk factor studies based on survey (rather than longitudinal) methodology, except when such studies are unique. Surveys of knowledge, attitudes and practices are within scope. Diagnostic test development if not accompanied by robust sensitivity and specificity estimation from field studies. Studies focused only on laboratory methods in which relevance to disease emergence and spread is not obvious or can not be inferred (“pure research” type studies). Narrative literature reviews which do not generate new knowledge. Systematic and scoping reviews, and meta-analyses are within scope.
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