تقرير
Automated Infectious Disease Forecasting: Use-cases and Practical Considerations for Pipeline Implementation
| العنوان: | Automated Infectious Disease Forecasting: Use-cases and Practical Considerations for Pipeline Implementation |
|---|---|
| المؤلفون: | Nagraj, VP, Hulme-Lowe, Chris, Jessa, Shakeel, Turner, Stephen D. |
| سنة النشر: | 2022 |
| المجموعة: | Quantitative Biology |
| مصطلحات موضوعية: | Quantitative Biology - Other Quantitative Biology |
| الوصف: | 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. Comment: Submitted to epiDAMIK 5.0: The 5th International workshop on Epidemiology meets Data Mining and Knowledge discovery |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2208.05019 |
| رقم الأكسشن: | edsarx.2208.05019 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |