PyRoss: inference, forecasts, and optimised control of epidemiological models in Python. github.com/rajeshrinet/pyross

Modular spatio-temporal models for epidemic and pandemic simulations

DEPRECATED IN FAVOR OF TuringLang/Turing-Workshop

Awesome-spatial-temporal-data-mining-packages. Julia and Python resources on spatial and temporal data mining. Mathematical epidemiology as an application. Most about package information. Data Sources Links and Epidemic Repos are also included. Keep updating.

The companion repository to Computational Modeling of Infectious Disease by Chris von Csefalvay

Agent-based modelling of pandemics using the Susceptible, Infected, Recovered (SIR) framework.

[UNDER DEVELOPMENT] R package implementing the DAEDALUS model for projecting and optimising health, social, and economic costs of a pandemic.

Tutorials on math epidemiology and epidemiology informed deep learning methods

📈 Examination of the impact of COVID-19 spread by using a custom epidemiological model.

Forecast COVID 19 trend for three regions in Italy.

We are the AI-Epidemiology Modeling group at UCF. Our work is focused on the efficient integration of deep learning and epidemiological modeling. The website is under construction and will be ready soon.

This repository contains the code for the paper "Infection Rate Models for COVID-19: Model Risk and Public Health News Sentiment Exposure Adjustments", by Ioannis Chalkiadakis, Kevin Hongxuan Yan, Gareth W. Peters, Pavel V. Shevchenko.

YouTube Video Viralization Tool: a mathematical tool to optimize efforts of making viral youtube videos.

Modelling epidemic curve with SIRD model.

Machine learning algorithms for the calibration of epidemiological compartmental models: application to the Italian COVID-19 outbreaks in Italy and to the newly developed SUIHTER model.

SEIRD model project for the Programmazione per la fisica exam.

A simple UI to easily build and run custom epidemic models.

A simulation model written in Python for the generation of spatial-temporal clinical data on infection outbreaks in hospitals

A Random Forest model for predicting incidence of potato blackleg at the landscape-scale.

Rumour spreading models on social networks