DATA MODEL INTEGRATION: THE GLOBAL EPIDEMIC AND MOBILITY FRAMEWORK

Detalles Bibliográficos
Autores principales: Pastore y Piontti, Ana, Perra, Nicola, Rossi, Luca, Samay, Nicole, Vespignani, Alessandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7121642/
http://dx.doi.org/10.1007/978-3-319-93290-3_3
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author Pastore y Piontti, Ana
Perra, Nicola
Rossi, Luca
Samay, Nicole
Vespignani, Alessandro
author_facet Pastore y Piontti, Ana
Perra, Nicola
Rossi, Luca
Samay, Nicole
Vespignani, Alessandro
author_sort Pastore y Piontti, Ana
collection PubMed
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spelling pubmed-71216422020-04-06 DATA MODEL INTEGRATION: THE GLOBAL EPIDEMIC AND MOBILITY FRAMEWORK Pastore y Piontti, Ana Perra, Nicola Rossi, Luca Samay, Nicole Vespignani, Alessandro Charting the Next Pandemic Article 2018-05-26 /pmc/articles/PMC7121642/ http://dx.doi.org/10.1007/978-3-319-93290-3_3 Text en © Springer International Publishing AG, part of Springer Nature 2019 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
Pastore y Piontti, Ana
Perra, Nicola
Rossi, Luca
Samay, Nicole
Vespignani, Alessandro
DATA MODEL INTEGRATION: THE GLOBAL EPIDEMIC AND MOBILITY FRAMEWORK
title DATA MODEL INTEGRATION: THE GLOBAL EPIDEMIC AND MOBILITY FRAMEWORK
title_full DATA MODEL INTEGRATION: THE GLOBAL EPIDEMIC AND MOBILITY FRAMEWORK
title_fullStr DATA MODEL INTEGRATION: THE GLOBAL EPIDEMIC AND MOBILITY FRAMEWORK
title_full_unstemmed DATA MODEL INTEGRATION: THE GLOBAL EPIDEMIC AND MOBILITY FRAMEWORK
title_short DATA MODEL INTEGRATION: THE GLOBAL EPIDEMIC AND MOBILITY FRAMEWORK
title_sort data model integration: the global epidemic and mobility framework
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7121642/
http://dx.doi.org/10.1007/978-3-319-93290-3_3
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