AdityaLab/EINNs
[AAAI-23] Epidemiologically-informed Neural Networks
This project helps public health researchers and epidemiologists predict infectious disease trends. By taking historical epidemiological data, it produces accurate forecasts of how an outbreak might progress in a given region. This tool is designed for those who need to understand and anticipate disease spread, such as public health officials or academic researchers.
No commits in the last 6 months.
Use this if you are a public health professional or researcher who needs to forecast the trajectory of an infectious disease outbreak.
Not ideal if you are looking for a general-purpose forecasting tool for non-epidemiological data.
Stars
15
Forks
11
Language
Python
License
MIT
Category
Last pushed
Dec 02, 2022
Commits (30d)
0
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