henok-bot/Malaria_vaccine_scenario_modeling

This scenario hosts the excercise work done to simulate different vaccination scenarios in Dera woreda of Amhara regions. # Malaria Vaccine Scenario Modeling – Dera Woreda (Exercise Project) ------------------------------------------------------------------------ This repository hosts the **malaria vaccine scenario modeling exercise** completed as part of the\ **Infectious Diseases Modeling Using R Training**, delivered by\ **The Ohio State University & Ohio State Global One Health (August 11–15, 2025)**. The project explores **malaria transmission dynamics in Dera woreda** under two modeled conditions: 1. **Baseline scenario (no vaccine)**\ 2. **Intervention scenario incorporating malaria vaccination** The repository demonstrates the use of **deterministic R-based compartmental modeling** for real-world malaria program decision-making. ------------------------------------------------------------------------ ## Repository Structure ├── Mal vac models.pptx\ ├── Malaria_modeling_excercise_project work.R\ ├── Malaria_without_vaccine.R\ ├── README.md\ └── outputs\ ├── Malaria_model with out vaccine.png\ ├── Popn with out vaccine.png\ ├── Rplot.png\ └── mal_model_with negative sigma.png --- ## Project Overview This modeling exercise includes: - Construction of **SEIR-type malaria models** using base R functions - Integration of **vaccine efficacy, coverage, and waning dynamics** - Simulation of **malaria transmission trajectories** under different assumptions - Visualization of: - Incidence over time - Prevalence changes - Compartment transitions - Programmatic interpretation for: - Local decision-making - Scenario comparison - Public health relevance This repository is designed as a **learning and teaching tool** in epidemiological modeling. --- ## How to Use 1. Clone or download this repository. 2. Open either R script: - `Malaria_without_vaccine.R` - `Malaria_modeling_excercise_project work.R` 3. Run code in **RStudio** or any R environment. 4. Check all generated plots inside the **outputs/** folder. 5. See final interpretation and presentation in **Mal vac mode …