Simulated Genomic Surveillance Dashboard for AMR in Africa
# amr-tracker-lite
Simulated Genomic Surveillance Dashboard for AMR in Africa
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## π How to Run
1. Clone the repo
`git clone
github.com`
2. Navigate into the project folder
`cd amr-tracker-lite`
3. Create & activate a virtual environment
`python -m venv env`
`source env/Scripts/activate` *(Windows)*
4. Install dependencies
`pip install -r requirements.txt`
5. Launch the notebook
`jupyter notebook amr_dashboard.ipynb`
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## π Sample Data Fields
The `simulated_amr_data.csv` file includes:
- `Country`: Nigeria, Kenya, South Africa
- `Pathogen`: e.g., *E. coli*, *S. aureus*, *K. pneumoniae*
- `AMR_Gene`: e.g., blaCTX-M, mecA
- `Date_Reported`: Simulated weekly dates
- `Sample_Type`: Blood, Urine, Sputum
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## π Visual Preview
> #### π Country-Wise Resistance Overview
#### π§ͺ Resistance Trends Over Time
#### 𧬠Pathogen Breakdown by Drug Class
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π **π View Full Interactive Notebook on NBViewer**
## π‘ Inspiration
This project was built as a fast prototype under mentorship guidance, to support a larger research proposal on **AI-Driven Genomic Surveillance of Drug-Resistant Pathogens in Africa**.
It draws inspiration from:
- Prof. Tulio de Oliveira and his groundbreaking genomic work at CERI
- WHOβs GLASS AMR surveillance strategy
- Real-world gaps in cross-border bioinformatics capability in Africa
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## π§ͺ Future Plans
- Integration with real genomic datasets (GISAID/SRA)
- Streamlit-based live dashboard deployment
- Expansion to more African regions
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## π©π½βπ» Author
**Zuwaira Sadiq**
Tech-Empowered Economist | Aspiring Bioinformatician
π GitHub | βοΈ juwairiyyasadiq@gmail.com
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## π License
This project is licensed under the MIT License.
Feel free to fork, adapt, and build upon it.
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