Fitting GPs to count data for non-linear regression of epi-curves
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Updated
Apr 21, 2020 - Python
Fitting GPs to count data for non-linear regression of epi-curves
2020 北京数据开放大赛
This python application takes the information from the spread of COVID-19 in the US and determines the effectiveness of the Stay At Home Orders for each state. To analyze the effectiveness, I used a cubic least square polynomial and the SIR model and compared these two models before and after date the stay at home orders were issued.
Info/Data (global/italy) about COVID-19. PR welcome for other countries.
Educational tool that aims to provide an easy way of interacting with the basic epidemiological model SIR. Can also show how it would interact with the basic idea of vaccinations and an idea of losing immunity over time (second wave of infections).
Models of SEIRS epidemic dynamics with extensions, including network-structured populations, testing, contact tracing, and social distancing.
Epidemiology analysis package
Game theoretical modelling of COVID-19 vaccine adoption
MetaWards disease metapopulation analysis and modelling software. Professional geographical SIR model with a flexible plugin architecture to support complex scenario modelling
Educational tool used to visualize and solve the SEIRD epidemiological model with vaccination functionality. Allows the user to save results, parameters and more.
A SEIRS-NIMFA compartmental epidemiological model implementation adapted for the analysis of IoT network malware propagation
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