Metadata-Version: 2.4
Name: mmaing_aesop
Version: 0.1.9
Summary: Mixed Model of Artificial Intelligence and Next-Generation for outbreak detection.
Author-email: Dérick Borges <derick.gabriel@ufba.br>
License: Apache-2.0
Project-URL: Homepage, https://pypi.org/project/mmaing_aesop/
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: scikit-learn
Requires-Dist: pyod
Requires-Dist: matplotlib
Requires-Dist: scipy

# MMAING-AESOP

**MMAING-AESOP** it is an early outbreak detection system based on the combination of:

- Rt (Time-Dependent Reproduction Number - NGM)
- Ensemble of Machine Learning models (Isolation Forest, LOF, OCSVM, COPOD)

The model generates *Early Warning Signals* (EWS) based on weekly primary care time series.

If you use MMAING-AESOP in your research, please cite:

Borges, D.G.F., Coutinho, E.R., Cerqueira-Silva, T. et al. Combining machine learning and dynamic system techniques to early detection of respiratory outbreaks in routinely collected primary healthcare records. BMC Med Res Methodol 25, 99 (2025). https://doi.org/10.1186/s12874-025-02542-0

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##  Instalação

```bash
pip install mmaing_aesop
