https://github.com/vidiptvashist/sir-model-covid-delhi

https://github.com/vidiptvashist/sir-model-covid-delhi

Last synced: 3 days ago
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• Host: GitHub
• URL: https://github.com/vidiptvashist/sir-model-covid-delhi
• Owner: vidiptvashist
• Created: 2022-07-24T14:05:44.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2022-07-24T17:10:03.000Z (over 2 years ago)
• Last Synced: 2024-11-13T23:30:36.425Z (2 months ago)
• Language: MATLAB
• Size: 313 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# SIR-Model-Covid-Delhi

The SIR model is one of the most basic models for describing the temporal

dynamics of an infectious disease in a population. It compartmentalizes

people into one of three categories: those who are Susceptible to the disease,

those who are currently Infectious, and those who have Recovered (with

immunity). At its most basic level, the SIR model is a set of equations that

describes the number (or proportion) of people in each compartment at every

point in time. The SIR model is often represented with the following flow

diagram that shows the three states (S, I, and R) and arrows depicting the

direction of flow between the states.