PyRoss: inference, forecasts, and optimised control of epidemiological models in Python

Simulate a pandemic with artificial life objects.

A tool for modeling infectious diseases.

Infectious disease model library and utilities

A set of "real-time" covid19 county-level dashboards w/ national and state choropleths for monitoring localized infection resurgences as distancing, testing and tracing measures evolve.

Python code to analyze data and predict Covid-19 infection

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

System Dynamics Review (2021)

Continuous Time Distance-Based and Network-Based Individual Level Models for Epidemics

Bayesian Nowcasting with application to COVID-19 fatalities in Sweden

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

The Flexible Epidemic Modeling Pipeline

In this repository we aim to predict the peak of coronavirus cases in Indonesia, and when this pandemic will end. The data is retrieved from https://www.kawalcovid19.id/

Official website @ Github with content including COVID-19.

A Time-Dependent SEIRD Model for Forecasting the COVID-19 Transmission Dynamics

An open-source visualization tool to help make multi-model seasonal influenza forecasts more actionable for decision-makers

Python package for statistical inference and forecast of epi models using multiple signals

Population-level infectious disease modelling as an extension of brms.

Special repository containing the profile directory of JuliaEpi.

SIRP agency-based graph model implementation