Insights of Artificial Intelligence to Stop Spread of COVID-19

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Abstract

COVID-19, a pandemic that has pushed down human civilization in a severe threat. As viruses of COVID-19 like diseases are transferable from human to human, so it becomes very challenging to stop spreading these pandemics. These challenges are not only limited to the treatment of infected patients but also maintaining systematic social distancing to stop spreading the disease. However, maintaining social distancing is not entirely possible everywhere, like in hospitals, emergency sectors, etc. Some critical issues such as: carefully handling the Intensive Care Unite (ICU), patient care, hygienic practice, and systematic social distancing have become very necessary to slow down the spread of the new virus as appropriate vaccines or drugs are not yet available. In this time of crisis, Artificial Intelligence (AI) could assists in many more ways in addition to assisting diagnosis, drug or vaccine discovery. Therefore, this AI, especially algorithms of machine learning, deep learning, and computer vision along with edge computing and IoT technologies could be smart solutions for such challenges. This chapter brings such solutions through some insights of AI to assist to stop these COVID-19 like pandemics.

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Sufian, A., Jat, D. S., & Banerjee, A. (2020). Insights of Artificial Intelligence to Stop Spread of COVID-19. In Studies in Big Data (Vol. 78, pp. 177–190). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-55258-9_11

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