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Published in 2021 at "Archives of Computational Methods in Engineering"
DOI: 10.1007/s11831-021-09627-1
Abstract: The outbreak of COVID-19 in 2020 has led to a surge in interest in the mathematical modeling of infectious diseases. Such models are usually defined as compartmental models, in which the population under study is…
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Keywords:
compartmental models;
spatio temporal;
assessing spatio;
covid ... See more keywords
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Published in 2021 at "PLoS Computational Biology"
DOI: 10.1371/journal.pcbi.1008633
Abstract: Existing compartmental mathematical modelling methods for epidemics, such as SEIR models, cannot accurately represent effects of contact tracing. This makes them inappropriate for evaluating testing and contact tracing strategies to contain an outbreak. An alternative…
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Keywords:
contact tracing;
compartmental models;
tracing isolation;
isolation compartmental ... See more keywords
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Published in 2021 at "Mathematics"
DOI: 10.3390/math9172069
Abstract: In this work, we apply a novel and accurate Physics-Informed Neural Network Theory of Functional Connections (PINN-TFC) based framework, called Extreme Theory of Functional Connections (X-TFC), for data-physics-driven parameters’ discovery of problems modeled via Ordinary…
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Keywords:
compartmental models;
parameters discovery;
epidemiological compartmental;
physics informed ... See more keywords
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Published in 2022 at "Viruses"
DOI: 10.3390/v14112464
Abstract: Many approaches using compartmental models have been used to study the COVID-19 pandemic, with machine learning methods applied to these models having particularly notable success. We consider the Susceptible–Infected–Confirmed–Recovered–Deceased (SICRD) compartmental model, with the goal…
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Keywords:
application;
network;
modified pinn;
model ... See more keywords