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Emphasizing visual tools: using R to understand dynamic models of biology and epidemiology
International Journal of Mathematical Education in Science and Technology ; 54(5):888-900, 2023.
Article in English | ProQuest Central | ID: covidwho-2256431
ABSTRACT
Epidemiological models have enhanced relevance because of the COVID-19 pandemic. In this note, we emphasize visual tools that can be part of a learning module geared to teaching the SIR epidemiological model, suitable for advanced undergraduates or beginning graduate students in disciplines where the level of prior mathematical knowledge of students may not be very strong. Visual tools – phase portrait, flow field and trajectory and line plots – available in the R software are presented in a step by step manner, moving from the exponential growth model to the logistic growth model and then to the SIR model. Code for numerical simulation of differential equations and estimation of parameters is presented for the SIR model. Suggestions for students to connect the learning from these examples with research papers on COVID-19 are provided.
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Full text: Available Collection: Databases of international organizations Database: ProQuest Central Type of study: Observational study Language: English Journal: International Journal of Mathematical Education in Science and Technology Year: 2023 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: ProQuest Central Type of study: Observational study Language: English Journal: International Journal of Mathematical Education in Science and Technology Year: 2023 Document Type: Article