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Human Mobility, Networks and Disease Dynamics on a Global Scale

Disease dynamics is a complex phenomenon and in order to address these questions expertises from many disciplines need to be integrated. One method that has become particularly important during the past few years is the development of computational models and computer simulations that help addressin...

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Autor principal: Brockmann, Dirk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7121407/
http://dx.doi.org/10.1007/978-3-319-67798-9_19
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author Brockmann, Dirk
author_facet Brockmann, Dirk
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description Disease dynamics is a complex phenomenon and in order to address these questions expertises from many disciplines need to be integrated. One method that has become particularly important during the past few years is the development of computational models and computer simulations that help addressing these questions. In the focus of this chapter are emergent infectious diseases that bear the potential of spreading across the globe, exemplifying how connectivity in a globalized world has changed the way human-mediated processes evolve in the 21st century. The examples of most successful predictions of disease dynamics given in the chapter illustrate that just feeding better and faster computers with more and more data may not necessarily help understanding the relevant phenomena. It might rather be much more useful to change the conventional way of looking at the patterns and to assume a correspondingly modified viewpoint—as most impressively shown with the examples given in this chapter.
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spelling pubmed-71214072020-04-06 Human Mobility, Networks and Disease Dynamics on a Global Scale Brockmann, Dirk Diffusive Spreading in Nature, Technology and Society Article Disease dynamics is a complex phenomenon and in order to address these questions expertises from many disciplines need to be integrated. One method that has become particularly important during the past few years is the development of computational models and computer simulations that help addressing these questions. In the focus of this chapter are emergent infectious diseases that bear the potential of spreading across the globe, exemplifying how connectivity in a globalized world has changed the way human-mediated processes evolve in the 21st century. The examples of most successful predictions of disease dynamics given in the chapter illustrate that just feeding better and faster computers with more and more data may not necessarily help understanding the relevant phenomena. It might rather be much more useful to change the conventional way of looking at the patterns and to assume a correspondingly modified viewpoint—as most impressively shown with the examples given in this chapter. 2017-10-23 /pmc/articles/PMC7121407/ http://dx.doi.org/10.1007/978-3-319-67798-9_19 Text en © Springer International Publishing AG 2018 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
Brockmann, Dirk
Human Mobility, Networks and Disease Dynamics on a Global Scale
title Human Mobility, Networks and Disease Dynamics on a Global Scale
title_full Human Mobility, Networks and Disease Dynamics on a Global Scale
title_fullStr Human Mobility, Networks and Disease Dynamics on a Global Scale
title_full_unstemmed Human Mobility, Networks and Disease Dynamics on a Global Scale
title_short Human Mobility, Networks and Disease Dynamics on a Global Scale
title_sort human mobility, networks and disease dynamics on a global scale
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7121407/
http://dx.doi.org/10.1007/978-3-319-67798-9_19
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