Home News India May Have Reached Herd Immunity With 38 Crore People Already Infected, Says Study

India May Have Reached Herd Immunity With 38 Crore People Already Infected, Says Study

India May Have Reached Herd Immunity With 38 Crore People Already Infected, Says Study

A study has claimed that India may have reached herd immunity with about 380 million or 38 crore people already infected.

The detailed study published in the Indian Journal of Medical Research (IJMR) claims to have used the susceptible-asymptomatic-infected-recovered (SAIR) model to assess the impact of the lockdown and make predictions on its future course.

“The SAIR model has helped us understand the disease better. If the model is correct, we may have reached herd immunity with about 38 crore people already infected. However, personal protective measures remain crucial,” the authors Manindra Agrawal, Madhuri Kanitkar, and M Vidyasagar were quoted in the study as saying.

The study strongly advocates the fact that a timely lockdown may have reduced the fatality of coronavirus cases in India. It also claims that without a lockdown intervention led by the Indian government in March, Covid-19 infections would have peaked by June 2020.

“If there was no lockdown, the number of active infections would have peaked at close to 14.7 million (1.4 crore), resulted in more than 2.6 million (26 lakh) deaths, and the peak would have arrived by June 2020. The number of deaths with the current trends may be less than 0.2 million (2 lakhs),” notes the study.

Method and modeling

The standard mathematical models could not explain the role of asymptomatic cases in the unfolding of the pandemic, the study noted. A new model was used which was developed on lines of SAIR.

“There is a paucity of data on the behavior of the virus among the Indian population. Limited testing capability in India at the time of onset of the pandemic, non-availability of standardized tests for zero surveillance, and non-availability of data on asymptomatic cases were other limitations. In the current Covid-19 pandemic, a large fraction of the population showed little or no symptoms,” said the study.

Pandemic progression in India

The actual data suggested a peak in coronavirus cases in India on September 17, 2020. The model overestimates the actual growth by around 1.5 percent and the peak arrives four days later. Cumulative deaths are predicted to be around 0.2 million.

The and values for the last phase imply R0 value around 1.39, and the herd immunity for this value of R0 at around 28 percent of the population in A, I, and R categories.

According to the study, around 3.9 million (39 lakh) population was infected or with antibodies at the peak. On September 17, the numbers in the I and RI categories were around 5.2 million (52 lakh). Using the 1/ value (=67) of phase 6, the model predicts the total population with infection or antibodies to be around 3.5 million (35 lakh).

Progression of disease in Delhi

In the case of Delhi, the second wave starts about a week early, the first peak is about 20 percent higher, and the second is about 10 percent higher. Cumulative deaths are to be around 6500. July sero-survey showed antibodies in 23.5 percent of the population and RI at the start of the survey was around 55,000.

“If there was no lockdown, the number of active infections would have peaked at 14+ million and the peak would have arrived by mid-May. This would have resulted in overwhelming our hospitals and widespread panic. There was little qualitative difference between the two lockdown timings of April 1 and May 1, 2020. These would have resulted in a peak between 0 and 5 million active infections by mid-June,” the study highlights.

“If there was no lockdown, it would have resulted in more than 2 million deaths. The lack of two lockdowns (April 1 and May 1, 2020) would have resulted in between 0.5-1 million deaths. The number of deaths with current trends is projected to be less than 0.2 million,” said the study.

Unavailability of accurate data a challenge

The major limitation of the model, scientists believe was the nonavailability of accurate data.

“While our modeling efforts have tried to match the available data, the utility of our projections is limited by the accuracy and reliability of the available data. Hence, more accurate and reliable input data to the model would result in more reliable projections,” said the study.

According to the study, this new model is useful to calculate the possible disease burden realistically and may help plan for the resources. The impact of lockdown and interventions undertaken in a timely manner has been highlighted. The continuing importance of interventions such as the use of masks, hand hygiene, and physical distance is reinforced.

A consultative committee was constituted by the Department of Science and Technology under the Ministry of Science and Technology, Government of India, to develop a supermodel consisting of mathematical predictions as related to the coronavirus pandemic in India.

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