Salmonellosis outbreak archive in China: data collection and assembly

Salmonellosis outbreak archive in China: data collection and assembly

2024 | Zining Wang, Chenghu Huang, Yuhao Liu, Jiaqi Chen, Rui Yin, Chenghao Jia, Xiamei Kang, Xiao Zhou, Sihaq Liao, Xiuyan Jin, Mengyao Feng, Zhijie Jiang, Yan Song, Haiyang Zhou, Yicheng Yao, Lin Teng, Baikui Wang, Yan Li, Min Yue
The study by Zining Wang and colleagues provides a comprehensive review and meta-analysis of *Salmonella* outbreak (SO) data in China from 1949 to 2023. The research aims to summarize the patterns of SO, estimate epidemiological indicators, and contribute to understanding epidemic trends and prevention priorities. A systematic review of 1,134 qualitative reports and a meta-analysis of 506 high-quality studies were conducted, resulting in a dataset with over 46,494 entries. The study highlights the importance of understanding SO in China, where *Salmonella* is a leading cause of bacterial foodborne illnesses. The data includes spatiotemporal background, patient information, laboratory tests, and clinical management details. The authors also provide initial literature collection datasets and socio-economic and climate information for relevant regions. The study's findings can inform policy-making and predictive modeling to mitigate the impact of significant epidemics. The data is available on the Figshare platform under a CC-BY license.The study by Zining Wang and colleagues provides a comprehensive review and meta-analysis of *Salmonella* outbreak (SO) data in China from 1949 to 2023. The research aims to summarize the patterns of SO, estimate epidemiological indicators, and contribute to understanding epidemic trends and prevention priorities. A systematic review of 1,134 qualitative reports and a meta-analysis of 506 high-quality studies were conducted, resulting in a dataset with over 46,494 entries. The study highlights the importance of understanding SO in China, where *Salmonella* is a leading cause of bacterial foodborne illnesses. The data includes spatiotemporal background, patient information, laboratory tests, and clinical management details. The authors also provide initial literature collection datasets and socio-economic and climate information for relevant regions. The study's findings can inform policy-making and predictive modeling to mitigate the impact of significant epidemics. The data is available on the Figshare platform under a CC-BY license.
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[slides and audio] Salmonellosis outbreak archive in China%3A data collection and assembly