The novel coronavirus originated from the Wuhan Province of China is spreading its deadly wings in India as the positive cases in the country are increasing rapidly as the toll reached 67,161.
In the wake of this, the Indian Institute of Technology Guwahati (IIT-Guwahati)teamed up with the Duke NUS Medical Schools of Singapore to come up with an alternative model to predict the count of the infected people of COVID 19 for the coming 30 days in various states in India.
As part of the findings, the states were divided into three categories as moderate, severe, and Controlled. The model developed by Guwahati IIT and Duke Duke-NUS Medical Schools of Singapore predicts the COVID 19 cases on the grounds of the logistics method and exponential method.
The report of the new collaboration stated that according to the logistic method the cases might reach 1.5 in the coming 30 days and according to the exponential method, there will be 5.5 lakh cases in the next 30 days.
In the wake of this, the Indian Institute of Technology Guwahati (IIT-Guwahati)teamed up with the Duke NUS Medical Schools of Singapore to come up with an alternative model to predict the count of the infected people of COVID 19 for the coming 30 days in various states in India.
As part of the findings, the states were divided into three categories as moderate, severe, and Controlled. The model developed by Guwahati IIT and Duke Duke-NUS Medical Schools of Singapore predicts the COVID 19 cases on the grounds of the logistics method and exponential method.
The report of the new collaboration stated that according to the logistic method the cases might reach 1.5 in the coming 30 days and according to the exponential method, there will be 5.5 lakh cases in the next 30 days.