Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts

Abstract

The very first infected novel coronavirus case (COVID-19) was found in Hubei, China in Dec. 2019. The COVID-19 pandemic has spread over 214 countries and areas in the world, and has significantly affected every aspect of our daily lives. At the time of writing this article, the numbers of infected cases and deaths still increase significantly and have no sign of a well-controlled situation, e.g., as of 13 July 2020, from a total number of around 13.1 million positive cases, 571, 527 deaths were reported in the world. Motivated by recent advances and applications of artificial intelligence (AI) and big data in various areas, this paper aims at emphasizing their importance in responding to the COVID-19 outbreak and preventing the severe effects of the COVID-19 pandemic. We firstly present an overview of AI and big data, then identify the applications aimed at fighting against COVID-19, next highlight challenges and issues associated with state-of-the-art solutions, and finally come up with recommendations for the communications to effectively control the COVID-19 situation. It is expected that this paper provides researchers and communities with new insights into the ways AI and big data improve the COVID-19 situation, and drives further studies in stopping the COVID-19 outbreak. INDEX TERMS Artificial intelligence (AI), big data, COVID-19, coronavirus, epidemic outbreak, deep learning, data analytics, machine learning.

IoT in the Wake of COVID-19: A Survey on Contributions, Challenges and Evolution

“…Potentially, big data can support healthcare IoT by using intelligent analytics to exploit electronic healthcare records in healthcare domains including patients' health analysis, diagnosis support and drug support [70]. In the fight against the COVID-19 pandemic, big data has been useful in four main fronts as shown in Fig.…”

“…Take the UK for example, data collected by the National Health Service (NHS) telephone networks were analyzed in partnership with Amazon, Microsoft, and Hancock to move available resources to tackle the pandemic. In China, local governments were permitted by the China Health Commission to use AI-assisted big data to model, estimate and to track the COVID-19 pandemic in real-time [70]. • Patient diagnosis: Biomedical big data collected from several COVID-19 big data sources have been used to establish a cloud-based system for the diagnosis and treatment of COVID-19 patients.…”

Prediction of Global Spread of Covid-19 Pandemic: A Review and Research Challenges

“…In the existing literature, the authors have used different statistical and mathematical calculations, data models and AI (as illustrated in Figure 3 [7]), to try and help, and expedite decision making and logistical planning in healthcare systems. Whether it is using existing clinical data, biomarkers, traditional medical knowledge or weather patterns, they have tried to come up with a way to help with proper arrangement and utilization of available, and in many cases, limited healthcare resources around the world.…”

Blockchain and COVID-19 Pandemic: Applications and Challenges

“…Coronavirus disease (COVID-19) is a respiratory infection that has globally affected various sectors such as economy, healthcare, transportation, education, to name a few. COVID-19 is dangerous particularly for people with pre-existing medical conditions and can quickly spread from humans to humans [1][2][3]. It is estimated that COVID-19 will reduce global economic growth by 3% to 6% in 2020 [4].…”

“…The scarcity of medical supplies and hospital capacity has forced government authorities to impose partial or complete lockdown to contain the spread of the infection. Prevention from the adversarial effects due to the spread of COVID-19 requires coordinated action and collaboration among the health professionals, authorities, research institutes, and government [1,2,6]. However, the legacy information management systems being used to store crucial COVID-19 related data are mostly disintegrated.…”