EpiLearn: A Python Library for Machine Learning in Epidemic Modeling

EpiLearn is a Python toolkit developed for modeling, simulating, Data mining in epidemiology is a crucial subject in the healthcare and analyzing epidemic data. Although there exist several packages domain, garnering increasing attention in recent years due to the that also deal with epidemic modeling, they are often restricted COVID-19 outbreak [1, 2]. A key focus is the development of computational to mechanistic models or traditional statistical tools. As machine methods in epidemic modeling, which incorporate disease learning continues to shape the world, the gap between these packages transmission mechanisms to provide insights into changing demographic and the latest models has become larger. To bridge the gap health states. The diversity of data involved in epidemic and inspire innovative research in epidemic modeling, EpiLearn modeling necessitates a broad range of tasks, including epidemic not only provides support for evaluating epidemic models based on forecasting [3], simulation [4], source detection [5], intervention machine learning, but also incorporates comprehensive tools for strategies [6], and vaccination [7].