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利用2020 - 2024年欧亚地区疫情数据评估哈萨克斯坦对高致病性禽流感的环境适宜性

Environmental Suitability of Kazakhstan to Highly Pathogenic Avian Influenza Using Data on Eurasian Outbreaks, 2020-2024.

作者信息

Abenova Asem Zh, Mukhanbetkaliyev Yersyn Y, Kadyrov Ablaikhan S, Sytnik Igor I, Shevtsov Alexander B, Korennoy Fedor I, Martin Irene Iglesias, Perez Andres M, Abdrakhmanov Sarsenbay K

机构信息

Faculty of Veterinary and Animal Husbandry Technology, S. Seifullin Kazakh Agro Technical Research University, Astana 010011, Kazakhstan.

National Center for Biotechnology, Astana 010011, Kazakhstan.

出版信息

Viruses. 2025 Apr 16;17(4):574. doi: 10.3390/v17040574.

DOI:10.3390/v17040574
PMID:40285016
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12031396/
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.

摘要

高致病性禽流感(HPAI)是一种在家禽、伴人鸟类和野生鸟类中具有高度传染性的疾病,自2020年以来在全球范围内急剧增加。本研究旨在调查2020 - 2024年哈萨克斯坦与HPAI(H5N1和H5N8)疫情最显著相关的环境和人口因素,并确定该疾病可能报告不足的地区。开发了两种生态位模型,即“发生模型”(考虑影响HPAI发生可能性的气候和环境因素)和“报告模型”(基于人类和家禽种群人口统计学评估疾病报告的概率)。两种模型均使用哈萨克斯坦邻国(阿富汗、中国、中国香港、伊朗、伊拉克、巴基斯坦和俄罗斯)的疫情地点进行训练,然后使用哈萨克斯坦的HPAI疫情地点进行测试。结果表明两种模型对哈萨克斯坦的疫情拟合良好(“发生模型”的测试AUC = 0.894,训练AUC = 0.915;“报告模型”的测试AUC = 0.869,训练AUC = 0.872)。在哈萨克斯坦西南部靠近里海的地区检测到一组高发生 - 报告比率,这表明需要加强该地区以及哈萨克斯坦北部的巴甫洛达尔、哈萨克斯坦西部、克孜勒奥尔达和哈萨克斯坦东部其他一些地区的监测工作。此处呈现的结果将有助于为哈萨克斯坦HPAI防控策略的设计和实施提供信息,最终目标是促进该国的疾病预防和控制。

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