A web computing tool for a SIR model: immunity loss and vaccination

The goal of this short work is to present an online tool for modeling an epidemic in a given population. It is based on the typical SIR model, where the population is made up of three groups of individuals: susceptible, infected and recovered, where the recovered can lose immunity and the susceptible can be vaccinated. Computer languages and solvers such as PHP, Python and ‘gnuplot’ were used. This example with the solution web page demonstrates the use of the Web for both academia and industry, without requiring the user to install special software or have machine power. The user can simulate different situations, depending on the options that the application has available to manage the model, and can choose several numerical methods to solve the problem.

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Publication Details

Published
2024-12-03
DOI
https://doi.org/10.1109/bibm62325.2024.10822515
Primary Topic
Influenza Virus Research Studies
Type
article
Field-Weighted Citation Impact
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article

A web computing tool for a SIR model: immunity loss and vaccination

P. M. Silva, Miguel Casquilho, João Luís de Miranda, Cristina M. R. Caridade
Influenza Virus Research Studies
article

A web computing tool for a SIR model: immunity loss and vaccination

P. M. Silva, Miguel Casquilho, João Luís de Miranda, Cristina M. R. Caridade
article en

Abstract

The goal of this short work is to present an online tool for modeling an epidemic in a given population. It is based on the typical SIR model, where the population is made up of three groups of individuals: susceptible, infected and recovered, where the recovered can lose immunity and the susceptible can be vaccinated. Computer languages and solvers such as PHP, Python and ‘gnuplot’ were used. This example with the solution web page demonstrates the use of the Web for both academia and industry, without requiring the user to install special software or have machine power. The user can simulate different situations, depending on the options that the application has available to manage the model, and can choose several numerical methods to solve the problem.

University of Lisbon (PT), Polytechnic Institute of Coimbra (PT), Research Center for Natural Resources, Environment and Society (PT), Universidade Politécnica de Portalegre (PT), Institut des Sciences et technologies pour une Economie Circulaire des énergies bas carbone (FR), University of Coimbra (PT)
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Influenza Virus Research Studies
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