Men wearing PPE (Personal Protective Equipment) perform the last rites of a deceased relative in a disused granite quarry repurposed to cremate the dead due to COVID-19 on April 30, 2021 in Bengaluru, India. With recorded cases crossing 380,000 a day and 3000 deaths in the last 24 hours, India has more than 2 million active cases of COVID-19, the second-highest number in the world after the U.S. A new wave of the pandemic has totally overwhelmed the country's healthcare services and has caused crematoriums to operate day and night as the number of victims continues to spiral out of control.Image: Abhishek Chinnappa/Getty Images
Even in the most conservative estimates of the pandemic’s true toll, the number of infections is several times higher than official reports suggest. Our first, best-case scenario assumes a true infection count 15 times higher than the official number of recorded cases. It also assumes an infection fatality rate, or IFR — the share of all those infected who have died — of 0.15%. Both of these numbers are on the low end of the estimates we collected from experts.The result is a death toll roughly double what’s been reported to date.A more likely viewThe latest national seroprevalence study in India ended in January, before the current wave, and estimated roughly 26 infections per reported case. This estimate uses a slightly lower figure, in addition to a higher infection fatality rate of 0.3% — in line with what has been estimated in the United States at the end of 2020. In this case, the estimated number of deaths in India is more than five times the official reported count.“As with most countries, total infections and deaths are undercounted in India,” said Dr. Ramanan Laxminarayan, director of the Center for Disease Dynamics, Economics & Policy. “The best way to arrive at the most likely scenario would be based on triangulation of data from different sources, which would indicate roughly 500 to 600 million infections.”A worse viewAnother version uses a slightly higher estimate of true infections per known case, to account for the current wave. The infection fatality rate is also higher — double the rate of the previous estimate, at 0.6% — to take into account the tremendous stress that India’s health system has been under during the current wave. Because hospital beds, oxygen and other medical necessities have been scarce in recent weeks, a greater share of those who contract the virus may be dying, driving the infection fatality rate higher.Because there are two different unknowns, there is a wide range of plausible values for the true infection and death counts in India, Shioda said. “Public health research usually provides a wide uncertainty range,” she said. “And providing that kind of uncertainty to readers is one of the most important things researchers do.”How we estimated case multipliersSo far, India has conducted three national serosurveys during the COVID-19 pandemic. All three have found that the true number of infections drastically exceeded the number of confirmed cases at the time in question.At the time the results of each survey were released, they indicated infection prevalence between 13.5 and 28.5 times higher than India’s reported case counts at those points in the pandemic. The severity of underreporting may have increased or decreased since the last serosurvey was completed, but if it has held steady, that would suggest that almost half of India’s population may have had the virus.Shioda said that even the large multipliers found in the serosurveys may rely on undercounts of the true number of infections. The reason, she said, is that the concentration of antibodies drops in the months after an infection, making them harder to detect. The number would probably be higher if the surveys were able to detect everyone who has, in fact, been infected, she said.“Those people who were infected a while ago may have not been captured by this number,” Shioda said. “So this is probably an underestimate of the true proportion of the population that has been infected.”Like nearly all researchers contacted for this article, however, Shioda said the estimator provided a good way to get a sense of the wide range of possible death tolls in India.Jeffrey Shaman, an epidemiologist at Columbia University, said that the “slider,” or sliding calculator, is useful for “exploring the consequences” of different values for the infection fatality ratio and the ratio of the real number of infections to confirmed cases. Those are “the two measures that need to be estimated,” Shaman said.How we estimated death ratesMany of the infection fatality rate estimates that have been published were calculated before the most recent wave in India, so it could be that the overall IFR is actually higher after accounting for the most recent wave. The rate also varies greatly by age: Typically, the measure rises for older populations. India’s population skews young — its median age is around 29 — which could mean IFR is lower there than in countries with larger older populations.There is also extreme variability within the country in terms of both infection fatality rate and seroprevalence. In addition to the three national serosurveys, there have been more than 60 serosurveys done at the local and regional level, according to SeroTracker, a website that compiles serosurvey data from around the world.In a paper examining infection rates using serosurvey data from three locations in India, Dr. Paul Novosad, an associate professor of economics at Dartmouth College, found huge variability depending on the population being sampled. “We found that age-specific IFR among returning lockdown migrants was much higher than in richer countries,” he said. “In contrast, we found a much lower first-wave IFR than richer countries in the Southern states of Karnataka and Tamil Nadu.”In a country as large as India, even a small fluctuation in infection fatality rates could mean a difference of hundreds of thousands of deaths.While estimates can vary over time and from region to region, one thing is clear beyond all doubt: The pandemic in India is much larger than the official figures suggest.
Check out our end of season subscription discounts with a Moneycontrol pro subscription absolutely free. Use code EOSO2021. Click here for details.
©2019 New York Times News Service