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Modeling Disease Spread at Global Mass Gatherings: Data Requirements and Challenges

Spread of infectious diseases at global mass gatherings can pose health threats to both the hosting country and the countries where participants originate. The travel patterns at the end of these international events may result in epidemics that can grow to pandemic levels within a short period of t...

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Autores principales: Alshammari, Sultanah M., Mikler, Armin R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7123910/
http://dx.doi.org/10.1007/978-3-319-40415-8_3
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author Alshammari, Sultanah M.
Mikler, Armin R.
author_facet Alshammari, Sultanah M.
Mikler, Armin R.
author_sort Alshammari, Sultanah M.
collection PubMed
description Spread of infectious diseases at global mass gatherings can pose health threats to both the hosting country and the countries where participants originate. The travel patterns at the end of these international events may result in epidemics that can grow to pandemic levels within a short period of time. Computational models are essential tools to estimate, study, and control disease outbreaks at mass gatherings. These models can be integrated in the planning and preparation process of mass gatherings. In this paper, we present a review of the key data requirements and the challenges encountered when modeling infectious diseases epidemics initiated by global mass gatherings. This review can assist epidemic modeling at global mass gatherings providing researchers with insights of the main aspects and possible big data opportunities in this emerging research area.
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spelling pubmed-71239102020-04-06 Modeling Disease Spread at Global Mass Gatherings: Data Requirements and Challenges Alshammari, Sultanah M. Mikler, Armin R. Recent Advances in Information and Communication Technology 2016 Article Spread of infectious diseases at global mass gatherings can pose health threats to both the hosting country and the countries where participants originate. The travel patterns at the end of these international events may result in epidemics that can grow to pandemic levels within a short period of time. Computational models are essential tools to estimate, study, and control disease outbreaks at mass gatherings. These models can be integrated in the planning and preparation process of mass gatherings. In this paper, we present a review of the key data requirements and the challenges encountered when modeling infectious diseases epidemics initiated by global mass gatherings. This review can assist epidemic modeling at global mass gatherings providing researchers with insights of the main aspects and possible big data opportunities in this emerging research area. 2016-05-17 /pmc/articles/PMC7123910/ http://dx.doi.org/10.1007/978-3-319-40415-8_3 Text en © Springer International Publishing Switzerland 2016 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
Alshammari, Sultanah M.
Mikler, Armin R.
Modeling Disease Spread at Global Mass Gatherings: Data Requirements and Challenges
title Modeling Disease Spread at Global Mass Gatherings: Data Requirements and Challenges
title_full Modeling Disease Spread at Global Mass Gatherings: Data Requirements and Challenges
title_fullStr Modeling Disease Spread at Global Mass Gatherings: Data Requirements and Challenges
title_full_unstemmed Modeling Disease Spread at Global Mass Gatherings: Data Requirements and Challenges
title_short Modeling Disease Spread at Global Mass Gatherings: Data Requirements and Challenges
title_sort modeling disease spread at global mass gatherings: data requirements and challenges
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7123910/
http://dx.doi.org/10.1007/978-3-319-40415-8_3
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