electricsheepafrica/african-typhoid-dataset

非洲伤寒合成数据集，是一个针对撒哈拉以南非洲地区伤寒建模的合成数据集，包含了水、卫生和卫生(WASH)风险因素以及疫苗影响。该数据集包含6个不同的数据集，总共25,000个样本。它模拟了不安全饮用水、糟糕的卫生条件等风险因素，以及肠穿孔和胃肠道出血等并发症。该数据集预计将有助于预测伤寒风险、并发症和暴发检测。它根据CC-BY-4.0许可进行研究和教育使用。

African Typhoid Fever Synthetic Dataset, a synthetic dataset designed for typhoid fever modeling in Sub-Saharan Africa, incorporating WASH (Water, Sanitation, Hygiene) risk factors and vaccine impact. The dataset includes 6 different sets with a total of 25,000 samples. It models risk factors such as unsafe drinking water, poor sanitation, and others, along with complications like intestinal perforation and GI hemorrhage. The dataset is expected to be useful for predicting typhoid risk, complications, and outbreak detection. It is licensed for research and educational use under CC-BY-4.0.