Evidence map›Paper›PMID 40894192›Full record

ArticleTransboundary and emerging diseases2025

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

Yersyn Mukhanbetkaliyev, Gulzhan Yessembekova, Aizada Mukhanbetkaliyeva, Botakoz Akmambayeva, Ablaikhan Kadyrov, Rashit Uskenov, Saule Bostanova, Alibek Ashirbek, Fedor Korennoy, Sarsenbay Abdrakhmanov

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Article in Transboundary and emerging diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Yersyn MukhanbetkaliyevS. Seifullin Kazakh Agro Technical Research University, Astana, Kazakhstan.ORCID https://orcid.org/0000-0003-3320-7182
Gulzhan YessembekovaS. Seifullin Kazakh Agro Technical Research University, Astana, Kazakhstan.
Aizada MukhanbetkaliyevaS. Seifullin Kazakh Agro Technical Research University, Astana, Kazakhstan.
Botakoz AkmambayevaS. Seifullin Kazakh Agro Technical Research University, Astana, Kazakhstan.
Ablaikhan KadyrovS. Seifullin Kazakh Agro Technical Research University, Astana, Kazakhstan.
Rashit UskenovS. Seifullin Kazakh Agro Technical Research University, Astana, Kazakhstan.
Saule BostanovaS. Seifullin Kazakh Agro Technical Research University, Astana, Kazakhstan.
Alibek AshirbekS. Seifullin Kazakh Agro Technical Research University, Astana, Kazakhstan.
Fedor KorennoyFederal Center for Animal Health (FGBI ARRIAH), Vladimir, Russia.ORCID https://orcid.org/0000-0002-7378-3531
Sarsenbay AbdrakhmanovS. Seifullin Kazakh Agro Technical Research University, Astana, Kazakhstan.ORCID https://orcid.org/0000-0003-3707-3767

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Disease OutbreaksHerpesviridae InfectionsHerpesvirus 1, EquidHorse DiseasesAnimalsFemaleHorsesKazakhstanRisk FactorsSpatial AnalysisEHV-1Equine herpesvirusesforest-based regressionhorse breedingKazakhstanrisk mappingsuitability

Identifiers

PMID40894192
PMCPMC12393953

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.