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Editorial: Here comes the fourth wave (or not)

Editorial: Here comes the fourth wave (or not)

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In March, a volunteer held up a sign during a COVID-19 vaccination clinic in Ashland.

So are we having a fourth wave of the COVID-19 pandemic in the U.S. or not? The University of Minnesota’s Michael Osterholm has forecast a COVID “Category 5 hurricane” this spring. To some people, a look at hard-hit Michigan could justify this level of alarm.

But Paul Offit of the Children’s Hospital of Philadelphia also could claim to be right with his much more optimistic view that vaccines will mostly tame the pandemic from this point forward. After all, U.S. death rates and hospitalizations are not spiking and might never return to anything close to the fall/winter peak.

Predictions have become a Rorschach test where people can find doom or hope or reassurance. But what’s becoming clear is that public health officials don’t really know why this pandemic rises here and falls there.

It no longer is plausible that it all is happening because of mask mandates — or, more broadly, tightening or loosening restrictions.

If restrictions and rules were the only factors at play, the current surge wouldn’t be in Michigan but in a state that more aggressively has reopened, such as Texas or Florida. And cases wouldn’t be so high in those previous paragons of virtue, Maine and Vermont. And why would cases now be rising in Canada?

In an interview this past month, University of California, San Francisco physician Vinay Prasad brought up a few factors that might influence regional and national waves. One is initial conditions. In the first wave, some states in the Northeast had many more silent cases than others, so cases stayed high in New York and New England despite draconian policies.

Another is variants. Michigan might have been unlucky to have been seeded with more people with the more infectious variant of the virus, B.1.1.7.

Then there could be seasonal effects that are more complex than just fluctuations in temperature. Scientists have been suggesting environmental factors from pollen exposure to air conditioning to humidity.

Regional differences in COVID-19 peaks also might reflect irregularity in the way cases are reported, Prasad said. There are huge differences state to state in how many people are tested, which people are tested and how positives are tallied up.

And then there’s just plain random chance — perhaps the hardest factor for people to talk about or to accept.

Prasad says there’s been a consistent bias toward pessimistic predictions, because in the epidemiology community, there’s a sort of moral exemption for making overly dire forecasts. But if you predict fewer cases, hospitalizations or deaths than come to pass, you’re seen as downplaying the pandemic, “and you’re a villain.”

Then there’s the assumption that our nonpharmaceutical measures are a major driver of cases — something that might be true but isn’t necessarily supported by data. Mask mandates mostly affect mask-wearing outdoors, where many experts say the benefit is negligible. People in no-rules Florida still wear them in supermarkets, and people in rule-following Rhode Island have been contracting disease in private gatherings, where mandates don’t have much reach.

Prasad sees the bias toward restrictions as part of a broader bias in the medical community that overestimates the power of intervention. If a person has a cancer that never would have grown, and there’s extensive treatment, it’s assumed that the person would have died if left untreated, for example. But he says if you suggest that some cancer screenings are leading to unnecessary treatment, you are accused of being pro-cancer.

A sort of fibbing also has become accepted practice in the public health community, says risk communication consultant Peter Sandman. The idea is that it’s OK to mislead people in order to encourage healthier behavior. Big and small risks have been lumped together.

That might not be working well with the pandemic. Some people seemingly have decided to ignore public health advice altogether, while others have been scared into being hypervigilant.

A recent article in The Wall Street Journal, for example, profiled people who were too afraid to return to work. Several reported that they took stay-at-home orders so seriously that they never left home except to attend to family gatherings. These people didn’t seem to have been informed that walks or going to the store are minuscule risks compared to indoor gatherings — whether or not they are with family.

Even if we can’t predict the size or timing of a next wave, public health officials do know that the disease will continue to kill as long as some people don’t qualify for the vaccine or can’t book an appointment. This would be a good time to focus the message on what is known about risks, and be more upfront about what still is not understood.

— Adapted from an op-ed by Faye Flam, Bloomberg Opinion

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