ArticleViruses2025
Environmental Suitability of Kazakhstan to Highly Pathogenic Avian Influenza Using Data on Eurasian Outbreaks, 2020-2024.
Article in Viruses, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- District-Level Risk Mapping of Highly Pathogenic Avian Influenza in Poultry in Kazakhstan Using a Multi-Criteria Decision Model.Pathogens (Basel, Switzerland) · 2026Article
- Ecological Niche Modeling of PathogenicPathogens (Basel, Switzerland) · 2026Article
- Risk Assessment of Avian Influenza Virus Subtype H7 Introduction and Spread in the Russian Federation.Pathogens (Basel, Switzerland) · 2025Article
- Epidemiology, Virology, and Control of Highly Pathogenic Avian Influenza in Kazakhstan.Pathogens (Basel, Switzerland) · 2025Review
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Authors and funding
9 authors.
Funding
Abstract
Highly pathogenic avian influenza (HPAI) is a highly contagious disease of domestic, synanthropic, and wild birds that has demonstrated a sharp rise globally since 2020. This study intends to examine environmental and demographic factors most significantly associated with HPAI (H5N1 and H5N8) outbreaks in Kazakhstan, 2020-2024, and to identify areas of potential underreporting of the disease. Two ecological niche models were developed, namely an "occurrence model" (considering climatic and environmental factors influencing the likelihood of HPAI occurrence) and a "reporting model" (that assesses the probability of disease reporting based on human and poultry population demography). Both models were trained using outbreak locations in countries neighboring Kazakhstan (Afghanistan, China, Hong Kong, Iran, Iraq, Pakistan and Russia), and then tested using the HPAI outbreak locations in Kazakhstan. Results suggested a good fit for both models to Kazakhstani outbreaks (test AUC = 0.894 vs. training AUC = 0.915 for "occurrence model", and test AUC = 0.869 vs. training AUC = 0.872 for "reporting model"). A cluster of high occurrence-to-reporting ratio was detected in the south-western region of Kazakhstan, close to the Caspian Sea, suggesting a need for enhancing surveillance efforts in this zone as well as in some other areas of Pavlodar, Northern Kazakhstan, Western Kazakhstan, Qyzylorda, and Eastern Kazakhstan. Results presented here will help inform the design and implementation of control strategies for HPAI in Kazakhstan with the ultimate goal of promoting disease prevention and control in the country.
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Registered trials
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