论文标题
自动传染病预测：实施管道的用例和实际考虑因素
Automated Infectious Disease Forecasting: Use-cases and Practical Considerations for Pipeline Implementation
论文作者
论文摘要
实时预测疾病暴发需要及时产生的标准化输出。开发管道来自动化传染病预测可以确保参数化和软件依赖性对于预测代码的任何执行都是共同的。在这里，我们介绍了自动化云计算管道的实施，以预测传染病结果，并提供了预测Covid-19和流感目标的使用示例。我们还提供了关于人类自动化自动化传染病预测的限制和重要性的观点。
Real-time forecasting of disease outbreaks requires standardized outputs generated in a timely manner. Development of pipelines to automate infectious disease forecasts can ensure that parameterization and software dependencies are common to any execution of the forecasting code. Here we present our implementation of an automated cloud computing pipeline to forecast infectious disease outcomes, with examples of usage to forecast COVID-19 and influenza targets. We also offer our perspective on the limits of automation and importance of human-in-the-loop automated infectious disease forecasting.
