ABSTRACT
The use of artificial intelligence (AI) to determine the infection rate and death due to COVID-19 has been an emerging innovation, affecting the world toward computerized processes. Artificial intelligence is steadily being applied to healthcare when it becomes more common in modern business and daily life. This can perform as well as or better than humans in performing different procedures, such as diagnosing illnesses.
Through precise vaccination demands and optimal virus mutations, one may quickly stop the progress of an epidemic and construct an immunological barrier. In this chapter, we present an epidemic model, SEIQR, and the theoretical direction along with AI techniques.
In this chapter, we analyze the transmission dynamics of several variants of COVID-19 that appear globally through a mathematical model. We present an examination of rapid growth infection rates and diagnosis of COVID-19 through AI.
The technique is a next-generation method that derives the basic reproduction number that establishes the existence or control in communities. The simulated results are supported by the real parametric values represented in this chapter.
Both mathematical modeling and AI have proven to be dependable tools in the fight against this pandemic.
Artificial intelligence in healthcare has potential to aid health workers with a variety of patient care and administrative operations, enhance existing strategies and overcome challenges more rapidly. The impact of AI on the quarantine process has helped to control COVID-19.
