2024年鸡主要疫病流行动态数据集
收稿日期: 2025-05-09
修回日期: 2025-06-13
网络出版日期: 2025-12-26
基金资助
山东省重点研发计划(2022CXGC010606);山东省重点研发计划(2024CXGC010910);山东省重点研发计划(2022CXPT010-04);山东省重点研发计划(2025CXGC010803);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);山东省农业科学院农业科技创新工程基础研究任务(CXGC2020C11)
Epidemic Dynamics Dataset for Chicken Major Diseases in 2024
Received date: 2025-05-09
Revised date: 2025-06-13
Online published: 2025-12-26
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。为了了解病害流行状况，积累数据，分析鸡病流行趋势，本研究收集了来自山东、河南等全国15个省市自治区的2135份临床疑似病例样本，构成数据集。并通过PCR检测技术，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。本数据集可用于鸡主要病毒病的分析、预测，为未来疫病防控工作提供了基础数据。
数据摘要：
| 项目 | 描述 |
|---|---|
| 数据集名称 | 2024年鸡主要疫病流行动态数据集 |
| 所属学科 | 兽医学 |
| 研究主题 | 鸡的主要疫病 |
| 数据时间范围 | 2024年 |
| 数据地理空间覆盖 | 山东、河南、河北、江苏、辽宁、广东、广西、云南、湖南、湖北，安徽、辽宁、甘肃、黑龙江、内蒙古自治区 |
| 数据类型及技术格式 | .xlsx,.pdf |
| 数据集组成 | 数据集由1个表格和1个pdf文件组成，其中表格为2 135份鸡主要疫病检测数据；文件为相关数据分析。 |
| 数据量 | 404.56 KB |
| 主要数据指标 | 病原；阳性率；基因型 |
| 数据可用性 | CSTR:17058.11.sciencedb.agriculture.00245; https://cstr.cn/17058.11.sciencedb.agriculture.00245 DOI:10.57760/sciencedb.agriculture.00245; |
| 经费支持 | 山东省重点研发计划（2022CXGC010606，2024CXGC010910，2022CXPT010-04，2025CXGC010803）；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)。 |
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 . 2024年鸡主要疫病流行动态数据集[J]. 农业大数据学报, 2025 , 7(4) : 519 -531 . DOI: 10.19788/j.issn.2096-6369.100061
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. In order to deeply analyze the epidemic trends of major chicken diseases in 2024, this research dataset collected 2,135 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.
Data summary:
| Items | Description |
|---|---|
| Dataset name | Epidemic Dynamics Dataset for Chicken Major Diseases in 2024 |
| Specific subject area | Veterinary Science |
| Research topic | The main disease of chickens |
| Time range | 2024 |
| Geographical scope | Shandong, Henan, Hebei, Jiangsu, Liaoning, Guangdong, Guangxi, Yunnan, Hunan, Hubei, Anhui, Liaoning, Gansu, Heilongjiang, Inner Mongolia Autonomous Region |
| Data types and technical formats | .xlsx,.pdf |
| Dataset structure | The dataset consists of 1 table and 1 PDF file, of which the table is 2,135 detection data of major chicken diseases; The file is related to the data analysis. |
| Volume of dataset | 404.56 KB |
| Key index in dataset | Pathogen; positive rate; genotype |
| Data accessibility | CSTR:17058.11.sciencedb.agriculture.00245; https://cstr.cn/17058.11.sciencedb.agriculture.00245 DOI:10.57760/sciencedb.agriculture.00245; |
| Financial support | Shandong Provincial Key research and development project (2022CXGC010606, 2024CXGC010910, 2022CXPT010-04, 2025CXGC010803); 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). |
Key words： chicken; major diseases; epidemic dynamics
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