智利南部牛群中牛病毒性腹泻病毒 (BVDV) 传播的牛群层面建模:将牛群内部和牛群之间的动态联系起来

IF 3.5 2区 农林科学 Q2 INFECTIOUS DISEASES
Oscar Alocilla-Velásquez, Gustavo Monti, Helmut Saatkamp, Monique Mourits, Ann Lindberg, Stefan Widgren
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引用次数: 0

摘要

牛病毒性腹泻(BVD)对智利的养牛业构成了严重威胁,表明有必要制定一项区域性控制计划。事实证明,利用模拟建模对计划方案进行事前评估是一种成功的方法,可为决策者提供相关的支持性见解。鉴于牛病毒性腹泻病毒(BVDV)感染动态的复杂性,模拟 BVD 在元种群中的传播需要详细考虑牛群内部和牛群之间的传播动态。这项研究的目的是:(i) 通过将考虑到 BVDV 独特特征的牛群内传播模型(WHM)与满足进一步区域控制策略评估需求的牛群间传播模型(BHM)联系起来,研究 BVDV 在智利南部牛群中的传播动态;(ii) 提出并讨论模型方法的评估标准,为以后的研究和辅助决策提供依据。最终提出了在元种群中模拟复杂疾病传播的建模原理。这种方法下的 BHM 模拟结果与 BVDV 在智利的已知情况一致;奶牛群在地方病平衡时的流行率达到并保持在 75%,这与智利南部奶牛群中 BVDV 活动感染的估计值(77%)一致。在整个牛群中,感染率总是达到流行水平,感染牛群的比例很大(中位数 = 60%),其中奶牛牛群的感染率高于其他牛群。传播概率的变化会影响新感染的数量、流行程度以及感染在牛群间传播的速度。所提出的方法能够以足够的可信度模拟 BVDV 这种复杂的感染动态,这一事实证明这种方法可用于探索缓解策略,以控制智利南部牛群中的 BVDV。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Herd-Level Modeling of Bovine Viral Diarrhea Virus (BVDV) Transmission in Cattle Herds in Southern Chile: Linking Within and Between-Herd Dynamics

Herd-Level Modeling of Bovine Viral Diarrhea Virus (BVDV) Transmission in Cattle Herds in Southern Chile: Linking Within and Between-Herd Dynamics

Bovine viral diarrhea (BVD) represents a serious threat to the cattle sector in Chile, indicating the need for a regionally defined control program. Ex-ante evaluations of program options using simulation modeling have proven to be a successful approach in providing decision-makers with relevant supporting insights in that respect. Given the complexity of bovine viral diarrhea virus (BVDV) infection dynamics, simulation of BVD spread in a metapopulation requires detailed consideration of both within and between herd transmission dynamics. The aims of the study are (i) to investigate the dynamics of BVDV transmission in cattle herds in southern Chile by linking a within-herd transmission model (WHM) that accounts for the BVDV’s unique characteristics with a between-herd model (BHM) that meets the demands for further regional control strategy evaluation; (ii) to suggest and discuss criteria for evaluation of the model approach and plausibility for later research and for support decision-making. This resulted in bringing forth a modeling rationale for complex disease spread simulation in metapopulations. BHM simulations under this approach show outcomes that agree with BVDV’s known situation in Chile; dairy herds prevalence at endemic equilibrium reaches and maintains 75%, which agrees with estimations of BVDV active infection in dairy herds in southern Chile (77%). For the entire herd population, the infection always reaches endemic levels with a large proportion of infected herds (median = 60%), where herd prevalence was higher in the dairy herd class than in the remaining categories. Transmission probability variation affects the new infections picked, prevalence at endemic levels, and the velocity in which the infection spreads between herds. The fact that the presented approach was able to model a complex infection dynamic such BVDV, with sufficient confidence, provides evidence that this approach can be used to explore mitigation strategies to control BVDV in southern Chilean herds.

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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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