11. A Review of Computational Intelligence Technologies for Tackling Covid-19 Pandemic

In March 2020, the World Health Organization (WHO) declared COVID-19 as a pandemic that covers around 185 countries and territories in the world where the coronavirus infirmity is present. The COVID-19 epidemic is dispersing all over the world in a few months. The traditional health care systems face new challenges associated with the constant increase of patients with this disease. This epidemic has caused a mess worldwide. In India, cases are increased day by day. Due to COVID-19, countries have a huge loss which cannot be estimated both in the economy and life of citizens. To recover this economic loss and save the life, deployment of emerging technologies is used to battle this invisible enemy. During this period, several researchers have written lots of research papers in various fields. The main aim of this chapter is to summarize the existing literature addressing the use of computational intelligence (CI) technologies to battle COVID-19 infection. Nowadays researchers have been analyzed the data related to COVID-19 and draw some conclusions by applying emerging technologies like AI, IoT, deep learning, Blockchain, Neural Network, Fuzzy, and machine learning algorithms. These strategies help policymakers and frontline people to take additional steps by avoiding the unfold of the virus and manage the disease. Researchers also suggest the use of Artificial Intelligence (AI) and the Internet of Things (IoT) to fight this pandemic and do all necessary work by following the guidelines given by the government.