AI-Empowered Data Analytics for Coronavirus Epidemic Monitoring and Control

Governments and authorities knew little about the virus since the emergency of COVID-19 outbreak. The Chinese government upon the discovery of the early patients in Wuhan, informed WHO on 31 December 2019, as pneumonia of unknown causes. Epidemiologists, data scientists and biostatisticians have bee...

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Autores principales: Fong, Simon James, Dey, Nilanjan, Chaki, Jyotismita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7307709/
http://dx.doi.org/10.1007/978-981-15-5936-5_3
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author Fong, Simon James
Dey, Nilanjan
Chaki, Jyotismita
author_facet Fong, Simon James
Dey, Nilanjan
Chaki, Jyotismita
author_sort Fong, Simon James
collection PubMed
description Governments and authorities knew little about the virus since the emergency of COVID-19 outbreak. The Chinese government upon the discovery of the early patients in Wuhan, informed WHO on 31 December 2019, as pneumonia of unknown causes. Epidemiologists, data scientists and biostatisticians have been working hand-in-hand for a common mission of trying to characterize and understand the characteristics of the infection as well as the virus itself, which is SARS alike.
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spelling pubmed-73077092020-06-22 AI-Empowered Data Analytics for Coronavirus Epidemic Monitoring and Control Fong, Simon James Dey, Nilanjan Chaki, Jyotismita Artificial Intelligence for Coronavirus Outbreak Article Governments and authorities knew little about the virus since the emergency of COVID-19 outbreak. The Chinese government upon the discovery of the early patients in Wuhan, informed WHO on 31 December 2019, as pneumonia of unknown causes. Epidemiologists, data scientists and biostatisticians have been working hand-in-hand for a common mission of trying to characterize and understand the characteristics of the infection as well as the virus itself, which is SARS alike. 2020-06-23 /pmc/articles/PMC7307709/ http://dx.doi.org/10.1007/978-981-15-5936-5_3 Text en © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021 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
Fong, Simon James
Dey, Nilanjan
Chaki, Jyotismita
AI-Empowered Data Analytics for Coronavirus Epidemic Monitoring and Control
title AI-Empowered Data Analytics for Coronavirus Epidemic Monitoring and Control
title_full AI-Empowered Data Analytics for Coronavirus Epidemic Monitoring and Control
title_fullStr AI-Empowered Data Analytics for Coronavirus Epidemic Monitoring and Control
title_full_unstemmed AI-Empowered Data Analytics for Coronavirus Epidemic Monitoring and Control
title_short AI-Empowered Data Analytics for Coronavirus Epidemic Monitoring and Control
title_sort ai-empowered data analytics for coronavirus epidemic monitoring and control
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7307709/
http://dx.doi.org/10.1007/978-981-15-5936-5_3
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