Leveraging Artificial Intelligence in Global Epidemics

Examines the application of Artificial Intelligence to prediction and modeling of disease epidemics based on the case study of COVID-19

Le Gruenwald (Edited by), Sarika Jain (Edited by), Sven Groppe (Edited by)

9780323897778, Elsevier Science

Paperback / softback, published 30 July 2021

316 pages
23.4 x 19 x 2.1 cm, 0.45 kg

Leveraging Artificial Intelligence in Global Epidemics provides readers with a detailed technical description of the role Artificial Intelligence plays in various stages of a disease outbreak, using COVID-19 as a case study. In the fight against epidemics, medical staff are on the front line; but behind the lines the battle is fought by researchers, and data scientists. Artificial Intelligence has been helping researchers with computer modeling and simulation for predictions about disease progression, the overall economic situation, tax incomes and population development. In the same manner, AI can prepare researchers for any emergency situation by backing the medical science. Artificial Intelligence plays a key and cutting-edge role in the preparedness for and dealing with the outbreak of global epidemics. It can help researchers analyze global data about known viruses to predict the patterns of the next pandemic and the impacts it will have. Not only prediction, AI plays an increasingly important role in assessing readiness, early detection, identification of patients, generating recommendations, situation awareness and more. It is up to the right input and the innovative ways by humans to leverage what AI can do. As COVID-19 has grabbed the world and its economy today, an analysis of the COVID-19 outbreak and the global responses and analytics will pay a long way in preparing humanity for such future situations.

1. An overview of global epidemics and the challenges faced 2. Leveraging artificial intelligence and digital tech to help citizens, societies, and economies survive and strive during pandemics 3. Towards an alternative to lockdown: Pandemic management leveraging digital technologies and artificial intelligence 4. Exploratory study of existing approaches for analyzing epidemics 5. A data science perspective of real-world COVID-19 databases 6. Preparing with predictions: forecasting epidemics with artificial intelligence 7. The worldwide methods of artificial intelligence for detection and diagnosis of COVID-19 8. The role of AI in digital contact tracing 9. Covid-19 accelerating the dynamics of Artificial Intelligence disruption 10. Use of artificial intelligence in pharmacovigilance for social media network 11. System-level knowledge representation for artificial intelligence during pandemics

Subject Areas: Biomedical engineering [MQW]