PyRoss: inference, forecasts, and optimised control of epidemiological models in Python. github.com/rajeshrinet/pyross
Simulate a pandemic with artificial life objects.
Python package for multi-signal Bayesian renewal modeling with JAX and NumPyro.
A tool for modeling infectious diseases.
Infectious disease model library and utilities
German Epidemic Microsimulation System developed in the OptimAgent-Project.
Python code to analyze data and predict Covid-19 infection
The Flexible Epidemic Modeling Pipeline
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.
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
System Dynamics Review (2021)
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.
Continuous Time Distance-Based and Network-Based Individual Level Models for Epidemics
Official website @ Github with content including COVID-19.
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/
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
Population-level infectious disease modelling as an extension of brms.
Examples of Physics Inspired Neural Networks (PINNs) for mathematical modeling of infectious diseases. Solving and parameter inference on the SI and SIR models.
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