Final Project for a Mathematical Biology course

Source code of paper "Rare Events of Host Switching for Diseases using a SIR Model with Mutations"

This project uses the SIRD model (Susceptible, Infected, Recovered, Deceased) to simulate the spread of a disease through a population and returns a graphical representation of the results.

COVID-19 Case Modelling in Julia completed as part of the MIT Math 6S083 Course.

Analysis of core Chronic Diseases in Northern Nigeria is a group project demo performed by trainees at GIZ sponsored Data Science training program by COVEN LABS. The Data was gotten from kaggle.com and was prepared by Emmanuel Odelanmi who was trying to predict Meningitis occurrence in individuals using Machine Learning. The project is to advice…

Covid-19 Tracker application using React, Material UI, Disease.sh API, chart.js and firebase hosting

An implementation of a primitive SIR model to simulate the propagation of a disease with a limited set of variables.

Simulation de maladie infectieuse type rhinite

supplementary code and data to Diehl et al, 2016 (Cell)

Scripts used in the publication "Continent-wide recent emergence of a global pathogen in African amphibians" by Ghose et al. (2023)

Data used to perform the analyses published in Transboundary and Emerging Diseases, DOI: 10.1111/tbed.14679

Network spread models developed in R.

This is a repository for storing calculation scribbles, code and temporary script files of Wetland Environmental Mathematics assignment.

Disease simulator in C#

An examination of predictive disease saliency in social networks and the potential application of network analysis in locating disease spread

A collection of MATLAB scripts used for a research project at the Mathematical and Theoretical Biology Institute (MTBI) 2011 Summer program.

Solve a stochastic SEIR model for disease progression

A framework written in Python to create and run simulations on compartmental epidemiological models.

This is an implementation of the SIERD model in C using Euler's explicit method

The BLack STain root disease landscape MANagement disturbance model (BLASTMAN) is an agent-based model (ABM) implemented in NetLogo, R, and Go that simulates forest management disturbances (i.e., thinnings and clear-cut regeneration harvests) and the spread of a tree disease in forested landscapes.