PyRoss: inference, forecasts, and optimised control of epidemiological models in Python
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Updated
Jul 11, 2023 - Jupyter Notebook
PyRoss: inference, forecasts, and optimised control of epidemiological models in Python
Simulate a pandemic with artificial life objects.
Infectious disease model library and utilities
A tool for modeling infectious diseases.
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
Detecção de COVID-19 a partir de imagens de raios X de tórax utilizando uma Deep Convolutional Neural Network otimizada.
System Dynamics Review (2021)
The Flexible Epidemic Modeling Pipeline
Continuous Time Distance-Based and Network-Based Individual Level Models for Epidemics
Population-level infectious disease modelling as an extension of brms.
Python code to analyze data and predict Covid-19 infection
An open-source visualization tool to help make multi-model seasonal influenza forecasts more actionable for decision-makers
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.
Bayesian Nowcasting with application to COVID-19 fatalities in Sweden
A Time-Dependent SEIRD Model for Forecasting the COVID-19 Transmission Dynamics
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/
Quantitative microbial risk assessment modeling
Asymptomatic transmission of COVID-19: differences in time-scales and reproduction numbers, and potential correlations between disease and transmission
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