Interactive Streamlit dashboard modeling cholera risks in Kenya using climate and population data
# Kenya Cholera Climate Risk Model
## Interactive Dashboard & Spatio-Temporal Analysis
# Table of Contents
1. **Chapter 0 — Introduction & Project Overview**
- Background & Motivation
- Research Questions & Objectives
- Scope & Study Area
- Significance & Expected Contributions
2. **Chapter 1 — Literature Review**
- Cholera Epidemiology in Kenya & East Africa
- Climate–Cholera Relationships
- Previous Modeling Approaches
- Gaps in Existing Research
3. **Chapter 2 — Data Sources & Preprocessing**
- Cholera Incidence Data
- Climate Data (ERA5)
- Population & Administrative Boundaries
- Data Cleaning & Harmonization
- Final Modeling Table Construction
4. **Chapter 3 — Exploratory Data Analysis and Modeling Strategy**
- Purpose of Exploratory Analysis
- Distribution of Cholera Incidence
- Temporal Patterns & Seasonality
- Climate Covariate Relationships
- Model Selection Rationale
- Baseline Model Specification
5. **Chapter 4 — Modeling and Results**
- Model Overview
- Baseline Negative Binomial Model
- Lagged Climate Variables
- Model Interpretation (IRRs)
- Model Diagnostics
- Summary of Findings
6. **Chapter 5 — Interactive Visualization and Deployment**
- Purpose of the Interactive Dashboard
- Dashboard Architecture & Technologies (Streamlit, Folium, etc.)
- Key Features & Layout
- Data Preparation for Visualization
- Implementation Details
- Version Control & Reproducibility
- Limitations of the Dashboard
- Summary
7. **Chapter 6 — Discussion, Limitations, and Future Work**
- Discussion of Key Findings
- Methodological Strengths
- Limitations (Data Quality, Modeling, Dashboard)
- Future Work & Possible Extensions
- Portfolio & Practical Relevance
- Conclusion
8. **References**
9. **Appendices**
- A. Full Model Output Tables
- B. Additional Visualizations
- C. Code Snippets & Reproducibility Instructions
- D. Glossary of Terms
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**Repository:**
github.com
**Live Demo:**
kenya-cholera-dashboard-es …