Through the disperse of novel coronavirus illness globally, existence became considerably contrived. Data analytics have experienced powerful development over the past few years. As it happens, it’s exceptionally considerable to take advantage of data analytics to assist mankind in a prompt as well as factually precise method to forestall additionally restrain the advancement of the widespread, sustain gregarious balance and evaluate the influence of the widespread. The unforeseen significant number of coronavirus disease instances has disturbed medical care system in many economies furthermore eventuated in an insufficiency of dormitory in the hospices. For this reason, prognosticating quantity of coronavirus infection instances is indispensable for administrations to adopt the necessary measures. The count of coronavirus disease instances could be correctly anticipated by taking into account historical records of announced instances side by side few extraneous components that impact the disseminate of the COVID-19 . Hence, the principal aim out of this research is to contemporaneously consider historical data and the extraneous components. This paper explores how data analytics can play a role in health care especially in novel coronavirus illness.

1. Sandya Jalesh [1]
, Dr. C.V. Suresh Babu[2]
[1]
Student, Dept. of Information Technology, Hindustan University
[2]
Professor, Dept. of Information Technology, Hindustan University
Abstract
Through the disperse of novel coronavirus illness globally, existence became considerably
contrived. Data analytics have experienced powerful development over the past few years. As it
happens, it’s exceptionally considerable to take advantage of data analytics to assist mankind in a
prompt as well as factually precise method to forestall additionally restrain the advancement of the
widespread, sustain gregarious balance and evaluate the influence of the widespread. The unforeseen
significant number of coronavirus disease instances has disturbed medical care system in many
economies furthermore eventuated in an insufficiency of dormitory in the hospices. For this reason,
prognosticating quantity of coronavirus infection instances is indispensable for administrations to adopt
the necessary measures. The count of coronavirus disease instances could be correctly anticipated by
taking into account historical records of announced instances side by side few extraneous components
that impact the disseminate of the COVID-19 . Hence, the principal aim out of this research is to
contemporaneously consider historical data and the extraneous components. This paper explores how
data analytics can play a role in health care especially in novel coronavirus illness.
Keywords: COVID-19, Data Analytics, Health Care system
A Study on “The Impact of Data Analytics in COVID-19
Health Care System”