Simulate a pandemic with artificial life objects.

A simple SIR model in Python

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

A toolset for analyzing and creating epidemiological models.

Detecção de COVID-19 a partir de imagens de raios X de tórax utilizando uma Deep Convolutional Neural Network otimizada.

This repository is meant as a facilitator for all those who want to learn agent based disease modelling using the mesa framework in python. When I started out, there were too few examples for this on the net. Thankful to the community helping me learn, here I will share some of my insights.

Scripts and data from "Towards a global investigation of transcriptomic signatures through co-expression networks and pathway knowledge for the identification of disease mechanisms"

Multi-stage hierarchical estimation of disease processes on demographic observations

Simulating the effect of social distancing on disease spread through a population graph.

Comparing four modeling approaches: System Dynamics, Agent-based Modeling, Cellular Automata, and Discrete Event Simulation using a SIR model as an example

We are the Department of Ecological Dynamics of the Leibniz IZW! This repository stores the distill webpage of the department.

Explore our open-source repository focused on healthcare machine learning. We've developed predictive models for cardiovascular disease, diabetes, breast cancer, and more. Our projects employ diverse machine learning algorithms and data science techniques, enhancing early detection, diagnosis, and patient outcomes.

Based of of the 3b1b video, Simulating and Epidemic, this simulation simulates a disease outbreak in a community.

Deep Learning and AI Enthusiasts to contribute to improving COVID-19 detection using just Chest X-rays.

Multi-Agent Based Disease Dynamics

Predictive modeling for disease outbreak prediction.

Code and Model Information for to support the paper: Yuan, X. and Crooks, A.T. (2017), From Cyber Space Opinion Leaders and the Spread of Anti-Vaccine Extremism to Physical Space Disease Outbreaks, SBP-BRIMS, pp. 114-119.

In silico model from Trujillo CA, Adams JW, Negraes PD, Carromeu C, Tejwani L, Acab A, Tsuda B, Thomas CA, Sodhi N, Fichter KM, Romero S, Zanella F, Sejnowski TJ, Ulrich H, Muotri AR. Pharmacological reversal of synaptic and network pathology in human MECP2-KO neurons and cortical organoids. EMBO Molecular Medicine, e12523, 2020.

The mathematical modeling of the optimal strategy for influenza vaccination was studied using a transmission dynamics model that considered population movement, province, and age group