DQ4781/Lassa-ABM

An Agent-Based Model used to Simulate Rodent Control Strategies for the Control of Periodic Outbreaks of Lassa Fever in Nigeria Lassa Fever Agent Based Model This is an epidemilogical stochastic agent-based model that runs locally in your browser. The model aims to simulate and visualize how infectious dieseases spread through a community. Developed by Daniel Quezada for CSUF's CEDDI Lab during URE22's summer program. ## Getting Started ⚙️ To get started with this project, clone the repo with: ``` git clone github.com ``` Then install the library requirements with: ``` pip install -r requirements.txt ``` To run the agent-based model, run the following command: ``` python3 lassa_run.py ``` ## Background 🔍 Lassa Fever (LF) is a viral hemorrhagic fever that is endemic to West Africa - Similar to Ebola, symptoms include: - Fever, headaches, nausea, facial swelling, internal bleeding, seizures, and coma - LF has been shown to have a total case fatality rate of 26.5% Multimammate rat (*mastomys natalensis*) is the most common host of LF - Primarily responsible for transmission of LF into humans - Annually responsible for 100-300k infections every year - Up to 30% of total rat populations are infected with LF in West Africa Both the CDC and WHO have designated LF as a virus for priority research and are actively monitoring the situtaion in West Africa - Gavi Institution has hinted at the possibility that LF could evolve and become the next global pandemic - Currently, there are no vaccines or vaccine candidates for LF ## Overview 📝 Data related to LF infections in Western Africa has been fitted to this model. This model is broken up into two main parts: 1. **SIR Graph** - (S)usceptible, (I)nfected, (R)ecovered graphs are a common epidemiological visualization representing how an infectious disease spreads through a population over time - Keeps track of the percentage of humans that healthy, infected, or removed at any given time 2. **Model Environment** - Keeps track of how many infected human and rodent agents there are at any given time - Calculates the pr …