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

**Authors:** Alberto Gomez-Buendia, Gulzhan Yessembekova, Ablaikhan Kadyrov, Yersyn Mukhanbetkaliyev, Eva Cerviño-Luridiana, Julio Alvarez, Andres M. Perez, Sarsenbay K. Abdrakhmanov

PMC · DOI: 10.3389/fvets.2025.1640050 · Frontiers in Veterinary Science · 2025-11-11

## TL;DR

This study analyzed rabies cases in Kazakhstan's animal populations from 2013 to 2023 to understand how and why rabies spreads over time and space.

## Contribution

A Bayesian hierarchical regression model was applied to identify socioeconomic and ecological drivers of rabies in animal populations in Kazakhstan.

## Key findings

- Higher median income and presence of rabies in wildlife increased livestock rabies risk.
- Companion animal rabies incidence was positively linked to livestock rabies risk.
- Human population density was associated with reduced rabies risk in livestock.

## Abstract

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 characterize 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 analyzed 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.

## Linked entities

- **Diseases:** rabies (MONDO:0019173)

## Full-text entities

- **Diseases:** rabies (MESH:D011818)
- **Species:** Canis lupus familiaris (dog, subspecies) [taxon 9615], Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

59 references — full list in the complete paper: https://tomesphere.com/paper/PMC12643857/full.md

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Source: https://tomesphere.com/paper/PMC12643857