Artificial Intelligence and Telehealth may Provide Early Warning of Epidemics

被引：6

作者：

Arslan, Janan ^{[1
,2
]}

Benke, Kurt K. ^{[3
]}

机构：

[1] Univ Melbourne, Ctr Eye Res Australia, Royal Victorian Eye & Ear Hosp, East Melbourne, Vic, Australia

[2] Univ Melbourne, Ophthalmol, Dept Surg, Melbourne, Vic, Australia

[3] Univ Melbourne, Sch Engn, Parkville, Vic, Australia

来源：

FRONTIERS IN ARTIFICIAL INTELLIGENCE | 2021年 / 4卷

关键词：

artificial intelligence; COVID-19; telehealth; virus; digital disease detection; epidemiology; pattern recognition; SURVEILLANCE TOOLS; SOCIAL MEDIA; DISEASE;

D O I：

10.3389/frai.2021.556848

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页数：6

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