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Prevention of Covid-19 spread with the help if social network analysis

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vaibhavmishra1/Covid-SNA

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Covid-SNA

Project involves:

  • Mathematical modeling of the spread of a pandemic in a population considering the case of SEIR Model (Suspectible-Exposed-Infected-Recovered) over a contact network.

  • Creating of the Monte Carlo simulation of the mathematical model for numerical analysis.

  • Creating a web demo of the spread of pandemic in a network using HTML, CSS and JavaScript.

Project Members: Vaibhav Mishra | Muzzafer Ali | Abhinav Pandey | Kunal Jangid

Project Duration : 1 October,2020 - 1 Nov,2020.

Please like the project if you find it helpful. Checklist:

1- Mathematical Model - Completed

2- Monte Carlo Simulation- Completed

3- Web Demonstration - Completed

Project Instructions:

  • To understand the mathematics, refer to the mathematical-model.pdf.
  • The simulation is done on two graphs, first graph is a random contact network graph based on SEIR Model, the simulation for which can be found at plots_random.ipynb.
  • The simulation for the second graph can be found at plots-gaussian.ipynb where a gaussian graph is used to create a contact network and plots are plotted.
  • the simulation is done using monte carlo and the code is written in python.
  • A web interface is designed for visualizing the progress of spread of pandemic in a contact network written in CSS, HTML anf JavaScript present in simulation folder.

Simulation for SEIR Model on Contact Network

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Graph Plot of the simulation

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Simulation for gaussian distribution of Contact Network

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Graph plot for the simulation

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