中国2024年鸡主要疫病流行动态数据集

农业大数据学报

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中国2024年鸡主要疫病流行动态数据集

马秀丽¹，刘存霞¹，徐怀英¹，郭效珍¹，刘丽萍¹，高月花¹，朱彤¹，鞠艳¹，于可响¹，胡峰¹，吕俊峰¹，赵巧雅¹，黄兵¹，李玉峰¹，秦卓明^1*，刘小群^2*

1.山东省农业科学院家禽研究所，山东省主要畜禽育种重点实验室，济南 250100；2.山东省创新发展研究院，济南 250101

出版日期:2025-07-31 发布日期:2025-07-31
基金资助:
山东省重点研发计划(2022CXGC010606，2024CXGC010910，2022CXPT010-04)；2024年山东省农业重大技术协同推广计划（SDNYXTTG-2024-09）；山东省家禽产业技术体系首席专家项目（SDAIT-11-01）；山东省农业科学院农业科技创新工程基础研究任务(GXGC2024D11，CXGC2020C11)。

Epidemic Dynamics Dataset for Chicken Major Diseases in 2024, China

MA XiuLi¹, LIU CunXia¹, XU HuaiYing¹, GUO XiaoZhen¹, LIU LiPing¹, GAO YueHua¹, ZHU Tong¹, JU Yan¹, YU KeXiang¹, HU Feng¹, LV JunFeng¹, ZHAO QiaoYa¹, HUANG Bing¹, LI YuFeng¹, QIN ZhuoMing^1*, LIU XiaoQun^2*

1.Institute of Poultry Science, Shandong Academy of Agricultural Science, Shandong Provincial Key Laboratory of Livestock and Poultry Breeding, Jinan 250100, China; 2. Shandong Institute of Innovation and Development, Jinan 250101, China

Published:2025-07-31 Online:2025-07-31
Supported by:
Shandong Provincial Key research and development project (2022CXGC010606, 2024CXGC010910, 2022CXPT010-04); Shandong Provincial Major Agricultural Technology Collaborative Promotion Plan Project in 2024 (SDNYXTTG-2024-09); Poultry industry technology system of Shandong Province (SDAIT-11-01); Agricultural scientific and technological innovation project of Shandong Academy of Agricultural Sciences (GXGC2024D11, CXGC2020C11).

摘要/Abstract

摘要： 近年来，规模化养禽业的持续发展带来了新的挑战，特别是在疫苗免疫的压力下，H9N2亚型禽流感、鸡传染性支气管炎等主要鸡病的病原发生了不同程度的变异。2024年的疫病发生率与2023年相比仍然居高不下，因此为了深入分析2024年主要鸡病的流行趋势，本研究数据集收集了来自山东、河南等全国15个省市自治区的2135份临床疑似病例样本。通过PCR检测技术，并结合疑似病例的临床症状与病理剖检变化，对2024年送检的疑似病例进行了全面的实验室诊断。随后，针对那些危害严重的病原体，选取了关键基因进行测序分析。本数据集的构建是为了揭示2024年主要鸡病的流行规律，以期为未来的疫病防控工作奠定坚实的数据基础。

关键词: 鸡, 主要疫病, 流行动态, 中国

Abstract: In recent years, the continuous development of large-scale poultry farming has brought new challenges, especially under the pressure of vaccine immunization, the pathogens of major chicken diseases such as H9N2 subtype avian influenza and infectious bronchitis in chickens have mutated to varying degrees. The incidence of epidemic diseases in 2024 is still high compared with 2023, so in order to deeply analyze the epidemic trends of major chicken diseases in 2024, this research dataset collected 2135 samples of clinically suspected cases from 15 provinces, municipalities and autonomous regions in China, including Shandong and Henan. Through PCR detection technology, combined with the clinical symptoms of suspected cases and pathological autopsy changes, a comprehensive laboratory diagnosis was made for the suspected cases sent for testing in 2024. Subsequently, for those pathogens that are seriously harmful, key genes were selected for sequencing analysis. The purpose of this dataset is to reveal the epidemic pattern of major chicken diseases in 2024, in order to lay a solid data foundation for future disease prevention and control.

Key words: chicken, major diseases, epidemic dynamics, China

马秀丽, 刘存霞, 徐怀英, 郭效珍, 刘丽萍, 高月花, 朱彤, 鞠艳, 于可响, 胡峰, 吕俊峰, 赵巧雅, 黄兵, 李玉峰, 秦卓明, 刘小群.

中国2024年鸡主要疫病流行动态数据集 [J]. 农业大数据学报, 0, (): 1-.

MA XiuLi1, LIU CunXia1, XU HuaiYing1, GUO XiaoZhen1, LIU LiPing1, GAO YueHua1, ZHU Tong1, JU Yan1, YU KeXiang1, HU Feng1, LV JunFeng1, ZHAO QiaoYa1, HUANG Bing1, LI YuFeng1, QIN ZhuoMing1, LIU XiaoQun. Epidemic Dynamics Dataset for Chicken Major Diseases in 2024, China[J]. Journal of Agricultural Big Data, 0, (): 1-.

[1]	贾铖, 易红梅. 中国农村电商研究数据集分析[J]. 农业大数据学报, 2023, 5(4): 95-102.
[2]	李玲玥, 熊航, 贺娟. 2020年我国鸡蛋消费选择偏好调查统计数据集[J]. 农业大数据学报, 2023, 5(4): 130-137.

中国2024年鸡主要疫病流行动态数据集

Epidemic Dynamics Dataset for Chicken Major Diseases in 2024, China

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