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.
Python package for multi-signal Bayesian renewal modeling with JAX and NumPyro.
Infectious disease model library and utilities
Python code to analyze data and predict Covid-19 infection
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.
The Flexible Epidemic Modeling Pipeline
System Dynamics Review (2021)
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
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.
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.
An open-source visualization tool to help make multi-model seasonal influenza forecasts more actionable for decision-makers
A Time-Dependent SEIRD Model for Forecasting the COVID-19 Transmission Dynamics
German Epidemic Microsimulation System developed in the OptimAgent-Project.
Population-level infectious disease modelling as an extension of brms.
Special repository containing the profile directory of JuliaEpi.
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