Edy-King/lassa-fever-nigeria-ml-surveillance

Reproducible epidemiological and leakage-aware machine-learning analysis of public Zenodo Lassa fever surveillance data from Nigeria, 2018-2021. # Lassa fever NCDC surveillance analysis This folder contains a manuscript-oriented secondary analysis of the public Zenodo dataset `Lassa Fever_Dataset_NCDC.sav`. Project repository: github.com Dataset citation: Chioma Dan-Nwafor. (2022). Proposed title of the dataset: Epidemiological data on Lassa fever in Nigeria, 2018-2021. Zenodo. Proposed title of the datas… The Zenodo record describes the SPSS file as cleaned, de-identified surveillance data from SORMAS/NCDC. The public-facing package intentionally excludes the individual-level SPSS/CSV data and the fitted model object; users should obtain the source data directly from Zenodo and cite the original dataset record. Main outputs: - Manuscript DOCX and PDF are in `manuscript/`. - Aggregate tables are in `outputs/`. - Figures are in `figures/`. - Reproducibility scripts are `01_prepare_lassa_data.py`, `02_analyze_lassa.py`, and `03_build_manuscript.py`. Analysis title: Clinical, Epidemiological and Machine-Learning Analysis of Lassa Fever Surveillance Data in Nigeria, 2018-2021