August 14, 2022

Karnataka to observe 25 % hike in Covid-19 cases in November: Report

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An extensive study analysis on different states of the country over Covid-19 data reports that Karnataka may have its peak after other states have surpassed it, by nearly 25 % in November.

The study draws distress with the alarming data revealing that the five most impacted states of India which comprises of Maharashtra, Andhra Pradesh, Tamil Nadu, Uttar Pradesh and Karnataka will have an increasing count in the forthcoming two weeks, and the hike may be up to 25 %.

Another alarming data from the study deciphers that the festivals of Deepavali and Dusshera will further spike the active cases of the states by 80,000.

The comprehensive study analysis was put forth by Dr. Shashank Shah, who is a researcher, working at Harvard University’s Southeast Asia Institute along with Dr. Dave Matthews who is the co-founder of the Innovation lab at the Massachusetts Institute of Technology (MIT) and Dr. Subramaniam Sivakumar who has a reserach and development startup called Pratian Technologies in Whitefield.

Dr. Sivakumar emphasized on the increase in cases due to festive season, “The 7% jump in cases due the festive season will show up as a significant spike..”

According to the model developed by Dr. Sivakumar, Karnataka will not be observing a peak for the following three weeks. “The mortality rate will reduce from 1.42 % at present to 1.33 % on October 23,” said Dr. Sivakumar.

Dr T Jacob John, virologist and ex-professor at Christian Medical College, Vellore approved that the epidemic is declining in most affected states like Maharashtra, Andhra Pradesh, Delhi, Tamil Nadu and Uttar Pradesh, which he termed as “unbelievable.” Regarding Karnataka, he stated, “I don’t know what is driving the rise in numbers in Karnataka, but to compare its epidemic with that of Kerala or Tamil Nadu would be like comparing apples and oranges. There is a diverse kaleidoscope of factors which dictate how the epidemic progresses in each state, district or locality, such as prevention measures, testing and surveillance.”

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