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The sudden outburst of the COVID-19 has hit the world badly Avoid, control, and monitor (ACM) is the need of time! With limited expert manpower in COVID-19, the technologies like artificial intelligence (AI), robotics (R), and IOT (I), i e , (ARI) would help in avoidance of further spread and control of disease transmission Prediction and analysis tools are effectively implemented only when sufficient data is available Though an early stage of any pandemic has to deal with the scarcity of data, an early detection and prediction are equally important steps to fight COVID-19 But a complete solution to the pandemic is impossible because of the loose ends like availability of data and “dependent” development of ARI technology Since December 2019, there has been a continuous up-scaling in analysis and prediction algorithms because of more data getting available in terms of features and more number of the cases across the world This chapter will discuss the role of ARI and loose ends in their implementation It is focused on three major aspects: AI algorithms in analysis and prediction, the use of robotics in control and prevention of the pandemic and the role of IOT for the patient monitoring system (PMS) This discussion will provide an evolutionary path of the algorithms The accuracy rate for diagnosis and prediction has been increased because of the various novel approaches by researchers They are trying to overcome the loopholes and are tying the loose ends with the advent of more and more data! © 2020, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd
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