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

Simulate a pandemic with artificial life objects.

A tool for modeling infectious diseases.

Infectious disease model library and utilities

Python package for multi-signal Bayesian renewal modeling with JAX and NumPyro.

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

The Flexible Epidemic Modeling Pipeline

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

System Dynamics Review (2021)

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

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

Bayesian Nowcasting with application to COVID-19 fatalities in Sweden

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

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/

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

Special repository containing the profile directory of JuliaEpi.

SIRP agency-based graph model implementation