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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2011
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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. |
format | Online Article Text |
id | pubmed-7178867 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
record_format | MEDLINE/PubMed |
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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