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22 April 2022 Sensitivity of various factors of vaccination and quarantine for COVID-19
Zhe Wang
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Proceedings Volume 12163, International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021); 1216349 (2022) https://doi.org/10.1117/12.2627717
Event: International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021), 2021, Nanjing, China
Abstract
From 2019 to 2021, the coronavirus disease 2019 (COVID-19) epidemic has been a global issue and has attracted such widespread attention of people around the world that an increasing number of scientists are doing research about it. This study aims to construct a dynamic model of COVID-19 and conduct a sensitivity analysis of it. It constructs a Susceptible-Exposed-Infected-Recovered (SEIR) model and adds refinements (vaccination and quarantine) to the basic model. Julia (a programming software) is used to test the sensitivity and obtain the figures. All figures show the sensitivity of all testing parameters and starting times. Starting time for vaccination and quarantine are extremely essential to the peak and the trend of the epidemic. Different parameters in the models have different effects on the epidemic trend (especially parameters that exist in R0). And the findings of this study provide more information to monitor and control the epidemic COVID-19 or new epidemics in the future. It is of great help to bring vaccination and quarantine to the fore.
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Zhe Wang "Sensitivity of various factors of vaccination and quarantine for COVID-19", Proc. SPIE 12163, International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021), 1216349 (22 April 2022); https://doi.org/10.1117/12.2627717
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KEYWORDS
Data modeling
Mathematical modeling
Computer programming
Pathogens
Analytical research
Applied mathematics
Ordinary differential equations
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