Spatial Modeling of Equine Herpesviruses 1 (EHVs-1) Risks in Kazakhstan Using 2017–2024 Surveillance Data

IF 3 2区 农林科学 Q2 INFECTIOUS DISEASES
Yersyn Mukhanbetkaliyev, Gulzhan Yessembekova, Aizada Mukhanbetkaliyeva, Botakoz Akmambayeva, Ablaikhan Kadyrov, Rashit Uskenov, Saule Bostanova, Alibek Ashirbek, Fedor Korennoy, Sarsenbay Abdrakhmanov
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Abstract

Equine herpesvirus 1 (EHV-1) is one of the most dangerous viral diseases affecting ungulates, and is characterized by a wide range of clinical manifestations in horses, including rhinopneumonia, abortion, neonatal death, and myeloencephalopathy. It is well known for causing mass abortions in mares and respiratory diseases in young animals. Once introduced into a horse breeding farm of any type, EHV-1 tends to establish as a persistent infection. The disease is reported on nearly all continents and causes substantial annual economic losses to horse breeding operations. In Kazakhstan, 34 EHV-1 outbreaks were recorded between 2017 and 2024. The objective of our study was to identify potential risk factors associated with the presence of EHV-1 within the study area. We employed a forest-based classification and regression approach to explore a set of sociodemographic, environmental, and transportation-related factors associated with the presence or absence of EHV-1 at the level of administrative regions. A standard set of explanatory variables was supplemented with horse population density, derived from demographic data of horse-breeding farms obtained through a nationwide survey. Modeling results indicated that the most significant factor influencing EHV-1 presence was the average wind speed in January, followed by road density, the number of horse farms, and the number of livestock-related facilities targeted for surveillance. Horse population density was found to be among the least significant variable in the model. The resulting risk map highlights areas with a higher suitability for EHV-1 emergence, primarily located in regions with moderate-to-high horse population densities and characterized by steppe- and grassland-type landscapes, which are predominantly found in the northern, central, and south-western parts of Kazakhstan. These findings can serve as a foundation for further investigation into the spatial patterns of EHV-1 in the country and for enhancing veterinary surveillance and control measures.

Abstract Image

利用2017-2024年监测数据对哈萨克斯坦马疱疹病毒1型(EHVs-1)风险进行空间建模
马疱疹病毒1型(EHV-1)是影响有蹄类动物的最危险的病毒性疾病之一,其特点是在马中具有广泛的临床表现,包括鼻肺炎、流产、新生儿死亡和脊髓脑病。众所周知,它会导致母马大量流产和幼畜呼吸道疾病。一旦引入任何类型的马养殖场,EHV-1往往会形成持续感染。几乎所有大陆都有该病的报告,每年给马匹养殖业造成巨大的经济损失。在哈萨克斯坦,2017年至2024年期间记录了34起1型ehv疫情。本研究的目的是确定研究区域内与EHV-1存在相关的潜在危险因素。我们采用了基于森林的分类和回归方法来探索一系列与行政区域存在或不存在EHV-1相关的社会人口、环境和交通相关因素。一组标准的解释变量补充了马的人口密度,这些数据来自通过全国调查获得的养马场的人口统计数据。建模结果表明,1月份影响EHV-1存在的最显著因素是平均风速,其次是道路密度、马场数量和监测目标畜禽相关设施数量。马的种群密度是模型中最不显著的变量之一。由此产生的风险图突出了EHV-1出现的较高适宜性地区,主要位于马种群密度中高的地区,并以草原和草原型景观为特征,主要分布在哈萨克斯坦的北部、中部和西南部。这些发现可作为进一步调查该国EHV-1的空间格局和加强兽医监测和控制措施的基础。
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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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