Big data- and artificial intelligence-based hot-spot analysis of COVID-19: Gauteng, South Africa, as a case study

Big data- and artificial intelligence-based hot-spot analysis of COVID-19: Gauteng, South Africa, as a case study

Abstract The coronavirus disease 2019 (COVID-19) has developed into a pandemic. Data-driven techniques can be used to inform and guide public health decision- and policy-makers. In generalizing the spread of a virus over a large area, such as a province, it must be assumed that the transmission occu...

Full description

Bibliographic Details
Main Authors: Benjamin Lieberman, Jude Dzevela Kong, Roy Gusinow, Ali Asgary, Nicola Luigi Bragazzi, Joshua Choma, Salah-Eddine Dahbi, Kentaro Hayashi, Deepak Kar, Mary Kawonga, Mduduzi Mbada, Kgomotso Monnakgotla, James Orbinski, Xifeng Ruan, Finn Stevenson, Jianhong Wu, Bruce Mellado
Format: Article
Language:English
Published: BMC 2023-01-01
Series:BMC Medical Informatics and Decision Making
Subjects:
COVID-19
South Africa
Gauteng department of health
Hot-spot
Risk adjusted strategy
Control intervention
Online Access:https://doi.org/10.1186/s12911-023-02098-3

Internet

https://doi.org/10.1186/s12911-023-02098-3

Similar Items