Next Article in Journal
Deep Learning Based Wildfire Event Object Detection from 4K Aerial Images Acquired by UAS
Previous Article in Journal
Artificial Intelligence (AI) or Intelligence Augmentation (IA): What Is the Future?
Open AccessLetter

Artificial Intelligence (AI) Provided Early Detection of the Coronavirus (COVID-19) in China and Will Influence Future Urban Health Policy Internationally

1
Live + Smart Research Lab, School of Architecture Built Environment, Deakin University, Geelong 3220, Australia
2
Institute of Bioinformatics, International Tech Park, Bangalore 560066, India
3
School of Architecture Built Environment, Deakin University, Geelong 3220, Australia
*
Author to whom correspondence should be addressed.
AI 2020, 1(2), 156-165; https://doi.org/10.3390/ai1020009
Received: 22 February 2020 / Revised: 29 March 2020 / Accepted: 11 April 2020 / Published: 13 April 2020
Predictive computing tools are increasingly being used and have demonstrated successfulness in providing insights that can lead to better health policy and management. However, as these technologies are still in their infancy stages, slow progress is being made in their adoption for serious consideration at national and international policy levels. However, a recent case evidences that the precision of Artificial Intelligence (AI) driven algorithms are gaining in accuracy. AI modelling driven by companies such as BlueDot and Metabiota anticipated the Coronavirus (COVID-19) in China before it caught the world by surprise in late 2019 by both scouting its impact and its spread. From a survey of past viral outbreaks over the last 20 years, this paper explores how early viral detection will reduce in time as computing technology is enhanced and as more data communication and libraries are ensured between varying data information systems. For this enhanced data sharing activity to take place, it is noted that efficient data protocols have to be enforced to ensure that data is shared across networks and systems while ensuring privacy and preventing oversight, especially in the case of medical data. This will render enhanced AI predictive tools which will influence future urban health policy internationally. View Full-Text
Keywords: artificial intelligence; coronavirus; COVID-19; China; healthcare; detection; disease surveillance; infectious disease; pandemic; epidemic; endemic; outbreak; global health artificial intelligence; coronavirus; COVID-19; China; healthcare; detection; disease surveillance; infectious disease; pandemic; epidemic; endemic; outbreak; global health
Show Figures

Figure 1

MDPI and ACS Style

Allam, Z.; Dey, G.; Jones, D.S. Artificial Intelligence (AI) Provided Early Detection of the Coronavirus (COVID-19) in China and Will Influence Future Urban Health Policy Internationally. AI 2020, 1, 156-165.

Show more citation formats Show less citations formats

Article Access Map by Country/Region

1
Back to TopTop