A PROPOSED FRAMEWORK FOR PANDEMIC CONTROL USING ARTIFICIAL INTELLIGENCE: A CASE STUDY OF COVID-19 GLOBAL PANDEMIC

ABSTRACT:
A pandemic is a disease outbreak that occurs on a massive scale and rapidly spread across countries or continents. It affects people's daily life and halts businesses, jobs, the economy, social life, religious activities, and many more. In recent times, the world is faced with a unique pandemic that spread across all the seven continents known as Corona Virus (COVID-19). The World Health Organization (WHO) declared the outbreak a Public Health Emergency and therefore, classified it as a pandemic on 30 January 2020. Since then, researchers across multiple domains are putting every effort to come up with solutions to the virus. Most of the researchers have used both traditional and modern techniques to try and challenge the pandemic. Artificial intelligence is a modern technique that allows the management of pandemic and disease control to be easy, accurate, and efficient. Hence, a lot of techniques are proposed using Artificial Intelligence as a tool. In this study, we investigated over 150 research articles from highly reputable corpus of literature in an effort to propose a pandemic control framework that leverages Artificial intelligence and machine learning to improve the efficiency and accuracy of pandemic control and containment. However, the study further investigates the existing techniques for pandemic control, various applications of Artificial Intelligence in Healthcare, as well as proposes some pandemic control techniques using Artificial Intelligence as a platform. The result of this study indicates that Artificial Intelligence is capable of providing efficient mechanisms for pandemic control, prediction, detection, and containment.

Keywords: COVID-19, Coronavirus, Artificial Intelligence, SARS-CoV-2, Pandemic, Outbreak,
Machine Learning, Diagnosis.