Coronavirus Pandemic Omicron Analysis: Do you know how an epidemic is assessed? What is R-naught or R0 value? What does it mean to increase or decrease? What is its connection with Corona after all? Let us know the answers to all these questions here.
- Do you know about R Value?
- A value that determines the pace of the epidemic
- You also learn to assess the epidemic
New Delhi: In the last few days, new cases of corona infection have suddenly increased rapidly in the country. The increasing cases of its new variant Omicron have also increased the tension. Meanwhile, India’s R-naught or R0 value has also started increasing. This value has exceeded 1. Due to this, lines of concern have emerged on the foreheads of the officials of the Health Department.
So what is R-naught or R0 value after all? What does it mean to increase or decrease? What is its connection with Corona after all? Let us know the answers to all these questions here.
- What is R-naught value?
First of all know that what is R-not ie R0 value? Actually, it is a mathematical term that describes how highly contagious a virus is. Even the slightest change in this makes a lot of sense. It is very important to have R number or value at 1. When the value goes above or below 1, the whole game is made and broken.
R value is the reproduction value. It tells how many people are or may be infected by a person infected with corona. If R value is more than 1 then it means that cases are increasing and if it is less than 1 then these cases are decreasing.
It can also be understood that if 100 people are infected and they infect 100 people then the R value will be 1. But if they are able to infect 80 people then this R value will be 0.80.
- How worrying is the R value increase?
The R value is directly related to the rate of increase or decrease of cases. For less cases, it is necessary that the R value is less than 1. The R value of the country may be less than 1, but in many states it is more than 1 which is a matter of concern for us.
- Latest R-naught Values in India
According to NITI Aayog expert VK Paul, India’s R-naught or R0 value is currently 1.22. In a press conference on December 30, Dr VK Paul, member (health) of NITI Aayog had said that the spread of corona virus has increased in the last few days. That is, the rate of infection is increasing rapidly in some states.
During this time the R value of India was told as 1.22 (India R Value). Indian agencies have seen an increase in this R value in the last few weeks. This simply means that now the cases are increasing rapidly instead of decreasing. At the same time, the R-naught value has reached more than 2 in some cities of India.
- State Wise R-naught Value
The Indian Institute of Mathematical Sciences (IIMS) data on R values till December 2 shows that Telangana, Odisha, Jammu and Kashmir, Karnataka and Mizoram had R values above 1. In Karnataka, the R value has increased from 0.94 to 1.09 during a week. The R value of Telangana, Jammu and Kashmir, Maharashtra, Himachal Pradesh and Tamil Nadu has also increased. However, Kerala’s R value is 0.88 despite the high number of cases.
On the other hand, epidemiologist Dr. Giridhar Babu said some time ago that the R0 value in Bihar, Madhya Pradesh, Maharashtra, Uttarakhand, Tripura, Tamil Nadu, Arunachal Pradesh, West Bengal, Manipur and Nagaland has reached above the national average of 0.89.
- R0 value increased in this way in the country
In the week ending November 2, the R0 value in Maharashtra was 0.7, which gradually increased to 0.82 (14 November) and 0.96 (22 November). In the weeks ending November 29 and December 6, it showed a slight decline and reached 0.92 and 0.85 respectively. However, in the last two weeks, the RO has started increasing again in Maharashtra. On December 19, this value reached 1.08. Delhi’s R-value was 2.54 between December 23-29, while it was 2.01 for Mumbai between December 23-28.
- On what basis is the epidemic measured?
To measure how severe an epidemic is, 3 scales are used – R value, number of cases and severity. Along with this, the risk of an epidemic is measured on the basis of how many patients are being found and how many patients are seeing severe symptoms out of the total patients.