A tool was developed to identify potential disease outbreaks using pathogen and serotype data. By analyzing isolate numbers and comparing them to a two-year average, the tool highlights anomalies suggestive of outbreaks. When applied to Salmonella data, it revealed potential outbreaks related to specific serotypes.

中文翻译：

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AI 驱动的可视化工具，用于分析数据和预测耐药性疫情


开发了一种工具，使用病原体和血清型数据来识别潜在的疾病爆发。通过分析分离株数量并将其与两年平均值进行比较，该工具突出显示了表明疫情爆发的异常情况。当应用于沙门氏菌数据时，它揭示了与特定血清型相关的潜在爆发。