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COVID: Excess Mortalities Two Years Later

The death toll is increasingly comparable to that of the 1918–1920 flu

3 min read
A group of people standing in front a wall with hearts on them and photos on strings above it.
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The World Health Organization (WHO) declared the outbreak of the COVID-19 pandemic on 11 March 2020. Two years later, it put the cumulative number of cases at about 452 million, more than 5 percent of the world’s population, and the number of new infections was still averaging more than a million a day.

How many people have died? We can begin to model the problem by using the highest mortality estimates of the two previous major pandemics—138 deaths per 100,000 people in 1957–1958 and 111 per 100,000 in 1968–1969. A similarly virulent two-year event, adjusted for today’s population of 7.9 billion, would then be expected to kill 8.8–10 million people. On 11 March 2022, the WHO’s officially logged COVID death toll was about 6 million. Every epidemiologist knows that this must be a significant underestimate.


A better way to assess the death toll is to calculate excess mortality, that is, the difference between the total number of deaths during a crisis and the deaths that would be expected under normal conditions. Obviously, this approach will work only in those countries that collect near-impeccable mortality statistics. The WHO has assessed the health-information capacity of 133 countries, showing that the share of all deaths that are registered ranges from 100 percent in Japan and 98 percent in the European Union to 80 percent in China and only 10 percent in Africa. Given these realities, calculations of excess mortalities are revealing in France, inaccurate in China, and impossible in Nigeria.

And even in Japan, interpreting excess mortalities can be complicated. On one hand, COVID excess mortality includes not only the deaths directly attributable to the virus (due to inflammation of tissues or oxygen deprivation) but also the indirect effects caused when COVID aggravates preexisting conditions (heart disease, dementia) or induces the deterioration and disruption of normal health care (forgone diagnoses and treatments). But on the other hand, the spread of COVID appears to have largely preempted seasonal excess mortality caused by winter flu epidemics among the elderly, and lockdowns and economic slowdowns improved the quality of outdoor air.

The officially logged COVID death toll is about 6 million; every epidemiologist knows that this must be a significant underestimate.

By the end of 2020 the official worldwide COVID death toll was 1.91 million, but the WHO’s preliminary evaluation estimated at least 3 million deaths. According to Seattle’s Institute for Health Metrics and Evaluation (IHME), which counts only cases caused directly by the virus, not by the pandemic’s disruption of health care, excess global mortality reached 15.34 million (that is, between 12.6 and 18.9 million) by 11 March 2022. That’s the second anniversary of the beginning of the pandemic, according to the WHO’s reckoning.

A model run by The Economist relies on scores of national indicators correlating with data on excess death and thus it has produced a wide range of estimates. For the pandemic’s 2-year mark, the range is between 14 million (2 times the official tally of 6.86 million) and 23.7 million (3.5 times the official number), with the central value at 20 million (2.9 times the official total). And on 10 March 2022, The Lancet, one of the world’s leading medical journals, published its excess mortality estimate for 2020 and 2021: 18.2 (17.1 to 19.6) million, nearly 3.1 times the official two-year tally.

Even using a toll of around 15 million deaths is enough to put COVID-19 far ahead of the two major post-1945 pandemics on a per capita basis. And any number above 20 million would make it in absolute terms (but not in relation to population) an event on the same order of magnitude as the great 1918–1920 influenza pandemic. Will we ever know the real toll to within 10 percent, plus or minus?

The Conversation (4)
Robert Sadler01 Jul, 2022
SM

Nicely illustrates the three degrees of falsehood: lies, damn lies, and models.

Evariste Galois02 May, 2022

The reporting of data throughout the pandemic has been extremely shoddy. NPR, which portrays itself at the vanguard of the fight against disinformation, repeatedly reports--without caveats--that the COVID deaths in the US are "more than any other country". Since India most certainly has an actual death toll in the millions, and NPR must know this, I'd call this disinformation.

I've also seen a lot of what I call "data whitewashing". NPR will report, for example, "The U.S. death toll, according to Johns Hopkins University, ..." This makes the data seem reputable. But Johns Hopkins is not generating this data. They get it from the WHO, which is much less reputable, which in turn gets it from self-reported data from member nations, which is not reputable at all. So the statistic that China has had 5000 deaths total, a risible claim, gets washed through several sources until eventually NPR reports it as fact.

James Weller29 Apr, 2022

While any caused deaths are tragic, if you don't take into account the demographics of the deaths you are not really seeing the whole picture. In today's world, people have much longer life spans than 100 years ago resulting in massive increases in numbers of those over 70,80, and even 90. Often these elderly are suffering from a number of morbidities, but modern medicine has been able to keep them going reflecting why there are so many elderly now versus the past.

Covid mortalities are extremely skewed to the elderly and those with co-morbidities. It would be interesting to actually analyze the same demographic group's loss of life in earlier pandemics with covid. I think it very likely for those under 70, the risks would not be be greater. Also, from an actuarial point of view, it you totaled up person years lost (i.e. someone 85 lose 5 person years, while someone 05 might lose 70 person years), totals to previous pandemics might be more comparable. Like I said all deaths are tragic, but in my mind we should be making distinctions between those already on the edge of death (that must die of something), from a young healthy person dying. Health policies that don't make such distinctions are potentially dangerous. The shutdown of the economy doesn't make so much sense if the side effects cause many indirect deaths to the young while benefiting the elderly little (special care could be taken ).

Restoring Hearing With Beams of Light

Gene therapy and optoelectronics could radically upgrade hearing for millions of people

13 min read
A computer graphic shows a gray structure that’s curled like a snail’s shell. A big purple line runs through it. Many clusters of smaller red lines are scattered throughout the curled structure.

Human hearing depends on the cochlea, a snail-shaped structure in the inner ear. A new kind of cochlear implant for people with disabling hearing loss would use beams of light to stimulate the cochlear nerve.

Lakshay Khurana and Daniel Keppeler
Blue

There’s a popular misconception that cochlear implants restore natural hearing. In fact, these marvels of engineering give people a new kind of “electric hearing” that they must learn how to use.

Natural hearing results from vibrations hitting tiny structures called hair cells within the cochlea in the inner ear. A cochlear implant bypasses the damaged or dysfunctional parts of the ear and uses electrodes to directly stimulate the cochlear nerve, which sends signals to the brain. When my hearing-impaired patients have their cochlear implants turned on for the first time, they often report that voices sound flat and robotic and that background noises blur together and drown out voices. Although users can have many sessions with technicians to “tune” and adjust their implants’ settings to make sounds more pleasant and helpful, there’s a limit to what can be achieved with today’s technology.

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