Literature DB >> 33733230

Artificial Intelligence and Telehealth may Provide Early Warning of Epidemics.

Janan Arslan1,2, Kurt K Benke3.   

Abstract

The COVID-19 pandemic produced a very sudden and serious impact on public health around the world, greatly adding to the burden of overloaded professionals and national medical systems. Recent medical research has demonstrated the value of using online systems to predict emerging spatial distributions of transmittable diseases. Concerned internet users often resort to online sources in an effort to explain their medical symptoms. This raises the prospect that incidence of COVID-19 may be tracked online by search queries and social media posts analyzed by advanced methods in data science, such as Artificial Intelligence. Online queries can provide early warning of an impending epidemic, which is valuable information needed to support planning timely interventions. Identification of the location of clusters geographically helps to support containment measures by providing information for decision-making and modeling.
Copyright © 2021 Arslan and Benke.

Entities:  

Keywords:  COVID-19; artificial intelligence; digital disease detection; epidemiology; pattern recognition; telehealth; virus

Year:  2021        PMID: 33733230      PMCID: PMC7878557          DOI: 10.3389/frai.2021.556848

Source DB:  PubMed          Journal:  Front Artif Intell        ISSN: 2624-8212


  17 in total

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Authors:  Friedemann Zenke; Ben Poole; Surya Ganguli
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Journal:  PLoS One       Date:  2011-08-19       Impact factor: 3.240

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Authors:  Philip E Bourne
Journal:  PLoS Comput Biol       Date:  2015-02-09       Impact factor: 4.475

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Authors:  Kerstin Denecke
Journal:  Life Sci Soc Policy       Date:  2017-09-20

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Authors:  Nina Schwalbe; Brian Wahl
Journal:  Lancet       Date:  2020-05-16       Impact factor: 79.321

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Authors:  Gabriel J Milinovich; Gail M Williams; Archie C A Clements; Wenbiao Hu
Journal:  Lancet Infect Dis       Date:  2013-11-28       Impact factor: 25.071

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  1 in total

1.  Hospital sewage treatment facilities witness the fighting against the COVID-19 pandemic.

Authors:  Zhi-Hua Li; Jia-Xing Wang; Meng Lu; Tianyu Zhang; Xiaochang C Wang; Wen-Wei Li; Han-Qing Yu
Journal:  J Environ Manage       Date:  2022-02-15       Impact factor: 6.789

  1 in total

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