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Modelling of Infectious Disease with Biomathematics: Implications for Teaching and Research

The chapter compares a variety of models from biomathematics and bioinformatics of the spread of severe acute respiratory syndrome (SARS) that hit dozens of countries worldwide in 2003. It also investigates students’ and lecturers’ opinions regarding differences in predictions from three different m...

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Autores principales: Klymchuk, Sergiy, Narayanan, Ajit, Gruenwald, Norbert, Sauerbier, Gabriele, Zverkova, Tatyana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7178867/
http://dx.doi.org/10.1007/978-94-007-0910-2_48
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author Klymchuk, Sergiy
Narayanan, Ajit
Gruenwald, Norbert
Sauerbier, Gabriele
Zverkova, Tatyana
author_facet Klymchuk, Sergiy
Narayanan, Ajit
Gruenwald, Norbert
Sauerbier, Gabriele
Zverkova, Tatyana
author_sort Klymchuk, Sergiy
collection PubMed
description The chapter compares a variety of models from biomathematics and bioinformatics of the spread of severe acute respiratory syndrome (SARS) that hit dozens of countries worldwide in 2003. It also investigates students’ and lecturers’ opinions regarding differences in predictions from three different models. All models were based on the real data for Hong Kong published by the World Health Organization (WHO). Although the models were based on the same data, they gave very different predictions of the spread of the disease. The models were discussed with two groups of people: undergraduate students majoring either in engineering or applied mathematics and university lecturers who teach mathematics or mathematical modelling courses. In this chapter we present, analyze, and compare responses to the same questionnaire given to the two groups.
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spelling pubmed-71788672020-04-23 Modelling of Infectious Disease with Biomathematics: Implications for Teaching and Research Klymchuk, Sergiy Narayanan, Ajit Gruenwald, Norbert Sauerbier, Gabriele Zverkova, Tatyana Trends in Teaching and Learning of Mathematical Modelling Article The chapter compares a variety of models from biomathematics and bioinformatics of the spread of severe acute respiratory syndrome (SARS) that hit dozens of countries worldwide in 2003. It also investigates students’ and lecturers’ opinions regarding differences in predictions from three different models. All models were based on the real data for Hong Kong published by the World Health Organization (WHO). Although the models were based on the same data, they gave very different predictions of the spread of the disease. The models were discussed with two groups of people: undergraduate students majoring either in engineering or applied mathematics and university lecturers who teach mathematics or mathematical modelling courses. In this chapter we present, analyze, and compare responses to the same questionnaire given to the two groups. 2011-05-24 /pmc/articles/PMC7178867/ http://dx.doi.org/10.1007/978-94-007-0910-2_48 Text en © Springer Science+Business Media B.V. 2011 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Klymchuk, Sergiy
Narayanan, Ajit
Gruenwald, Norbert
Sauerbier, Gabriele
Zverkova, Tatyana
Modelling of Infectious Disease with Biomathematics: Implications for Teaching and Research
title Modelling of Infectious Disease with Biomathematics: Implications for Teaching and Research
title_full Modelling of Infectious Disease with Biomathematics: Implications for Teaching and Research
title_fullStr Modelling of Infectious Disease with Biomathematics: Implications for Teaching and Research
title_full_unstemmed Modelling of Infectious Disease with Biomathematics: Implications for Teaching and Research
title_short Modelling of Infectious Disease with Biomathematics: Implications for Teaching and Research
title_sort modelling of infectious disease with biomathematics: implications for teaching and research
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7178867/
http://dx.doi.org/10.1007/978-94-007-0910-2_48
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