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ORIGINAL RESEARCH article

Front. Vet. Sci.

Sec. Veterinary Epidemiology and Economics

Volume 12 - 2025 | doi: 10.3389/fvets.2025.1640050

This article is part of the Research TopicEpidemiology, prevention, and control of animal diseases in the 'stan' countries of Central AsiaView all 11 articles

A time-space Bayesian regression model of rabies cases in the animal population of Kazakhstan (2013-2023)

Provisionally accepted
  • 1VISAVET Health Surveillance Centre, Universidad Complutense de Madrid, Madrid, Spain
  • 2Departamento de Sanidad Animal, Facultad de Veterinaria, Universidad Complutense de Madrid, Madrid, Spain
  • 3S Seifullin Kazakh Agro Technical Research University, Astana, Kazakhstan
  • 4Independent Researcher, Madrid, Spain
  • 5Center for Animal Health and Food Safety, College of Veterinary Medicine, University of Minnesota, St Paul, Minnesota, United States

The final, formatted version of the article will be published soon.

Despite its endemic status and socioeconomic impacts, the spatial-temporal variation in rabies risk and its underlying determinants in Kazakhstan animal populations remain poorly understood. This study aimed to characterise the time-space dynamics of rabies in animal populations across Kazakhstan regions from 2013 to 2023 and identify the key drivers of transmission. Using a Bayesian hierarchical regression model with spatial and temporal random effects, we analysed national surveillance data on rabies cases in livestock, companion animals, and wildlife, alongside sociodemographic and animal population variables. The model revealed that higher median income (odds ratio [OR]: 1.18, 95% posterior predictive interval [PPI]: 1.06–1.31), the presence of rabies in wildlife (OR: 1.55, 95% PPI: 1.27–1.89), and companion animal rabies incidence (low: 1–5 cases/year, OR: 1.39, 95% PPI: 1.06–1.85; high: ≥6 cases/year, OR: 2.07, 95% PPI: 1.46–2.96) were associated with increased livestock rabies risk, while higher human population density correlated with reduced risk (OR: 0.68, 95% PPI: 0.5–0.9). Spatial analysis identified persistent high-risk zones in western Kazakhstan and lower risk in southern regions, driven by ecological and socioeconomic heterogeneity. These findings highlight the relationship between wildlife reservoirs, domestic animal management, and socioeconomic factors in rabies transmission in Kazakhstan. By integrating these insights into national policy, Kazakhstan can advance toward the global target of eliminating dog-mediated human rabies deaths by 2030, serving as a model for Central Asia.

Keywords: Bayesian, Regression model, Time-space, Rabies, Kazakhstan

Received: 03 Jun 2025; Accepted: 22 Oct 2025.

Copyright: © 2025 Gomez-Buendia, Yessembekova, Kadyrov, Mukhanbetkaliyev, Cerviño-Luridiana, Alvarez, Perez and Abdrakhmanov. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Sarsenbay K Abdrakhmanov, s_abdrakhmanov@mail.ru

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