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With a rapid outbreak of corona virus pandemic disease 2019 (COVID-19), caused by a novel severe acute respiratory syndrome corona virus 2 (SARS-CoV-2), numerous measures are taken by the countries in order to contain the primary spread of the disease. The use of IoT and cloud for collecting and analysing data to prevent the spread of the disease through mobile applications was a major challenge. The conventional centralized cloud computing used for storing the victim’s data is encountering severe challenges, such as high latency and high energy consumption. Also, the possibility of occurrence of coverage hole can lead to the loss of actual data causing the system to provide erroneous information. This paper addresses a detailed review of various predictive models to identify the challenges in determining the outset of a pandemic like COVID and thereby health measures can be taken.