Evidence map›Paper›PMID 42654733›Full record

ArticlePathogens (Basel, Switzerland)2026

District-Level Risk Mapping of Highly Pathogenic Avian Influenza in Poultry in Kazakhstan Using a Multi-Criteria Decision Model.

Aizada A Mukhanbetkaliyeva, Irene Iglesias Martin, Fedor I Korennoy, Alimzhan S Kadyrov, Yersyn Y Mukhanbetkaliyev, Saidulla I Ruzmatov, Asem Zh Abenova, Temirlan G Bakishev, Andres M Perez, Sarsenbay K Abdrakhmanov

Abstract read
In one paragraph

Article in Pathogens (Basel, Switzerland), 2026. 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

What it found

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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.

Aizada A MukhanbetkaliyevaInstitute of Animal Science and Veterinary, Saken Seifullin Kazakh Agrotechnical University, Astana 010011, Kazakhstan.
Irene Iglesias MartinCentro de Investigación en Sanidad Animal (CISA), Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Consejo Superior de Investigaciones Científicas (CSIC), 28130 Madrid, Spain.
Fedor I KorennoyFederal Centre for Animal Health (FGBI ARRIAH), Vladimir 600901, Russia.ORCID 0000-0002-7378-3531
Alimzhan S KadyrovInstitute of Animal Science and Veterinary, Saken Seifullin Kazakh Agrotechnical University, Astana 010011, Kazakhstan.
Yersyn Y MukhanbetkaliyevInstitute of Animal Science and Veterinary, Saken Seifullin Kazakh Agrotechnical University, Astana 010011, Kazakhstan.
Saidulla I RuzmatovInstitute of Animal Science and Veterinary, Saken Seifullin Kazakh Agrotechnical University, Astana 010011, Kazakhstan.ORCID 0000-0002-2093-8667
Asem Zh AbenovaInstitute of Animal Science and Veterinary, Saken Seifullin Kazakh Agrotechnical University, Astana 010011, Kazakhstan.ORCID 0000-0002-8360-1527
Temirlan G BakishevInstitute of Animal Science and Veterinary, Saken Seifullin Kazakh Agrotechnical University, Astana 010011, Kazakhstan.
Andres M PerezCenter for Animal Health and Food Safety, College of Veterinary Medicine, University of Minnesota, St. Paul Campus, St. Paul, MN 55108, USA.
Sarsenbay K AbdrakhmanovInstitute of Animal Science and Veterinary, Saken Seifullin Kazakh Agrotechnical University, Astana 010011, Kazakhstan.ORCID 0000-0003-3707-3767

Funding

Ministry of Science and Higher Education of the Republic of Kazakhstan AP23489183
6 · The paper itself

Abstract

Highly pathogenic avian influenza (HPAI) is a transboundary disease of birds with zoonotic potential. Since 2021, H5 HPAI virus variants have spread globally, with migratory waterfowl playing a key role in transcontinental dissemination. Kazakhstan lies at the intersection of major flyways, creating a persistent risk of virus introduction into domestic poultry. While HPAI risk in wild birds has been explored in Kazakhstan, the spatial risk for poultry has remained underassessed. Here, we present a risk map for HPAI in poultry across 174 administrative districts of Kazakhstan, using a multi-criteria decision analysis (TOPSIS) that integrates five quantitative risk indicators that relate to wild bird habitat, virus survival in the environment and poultry farm census. The obtained district-level risk index agreed well with historical outbreak data (2005-2025), with an area under the receiver operating characteristic (ROC) curve of 0.899 (95% CI: 0.846-0.952). Most districts (56%) were at negligible risk, whereas medium- and high-risk clusters occurred in the north, central, and southern regions, and near the Caspian Sea. These findings provide an operational, spatially explicit tool for targeting surveillance and biosecurity measures to high-risk areas, ultimately helping to mitigate the impact of one of the most devastating transboundary poultry diseases in Central Asia.

Indexed as

Influenza in BirdsPoultry DiseasesAnimalsAnimals, WildDecision Support TechniquesDisease OutbreaksKazakhstanPoultryRisk Assessmenthighly pathogenic avian influenza (HPAI)Kazakhstanmigratory flywaysmulti-criteria decision analysis (MCDA)poultryrisk mappingspatial epidemiologysurveillanceTOPSISwild birds

Identifiers

PMID42654733
PMCPMC13516787

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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.