Epidemic Leadership. Larry McEvoy

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Epidemic Leadership - Larry McEvoy


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but scientists calculate there are between 631,000 and 827,000 viruses that can potentially infect humans.6 In conditions of disruption and chaos—rapid environmental changes, degraded sanitation and nutrition, infrastructural decay, and social instability—such viruses are more likely to break out of their native environments, where they are locked into a kind of lattice that prevents them from causing human harm, into human populations. When these viruses do break out, they're lethal and expensive. Our pre-COVID twenty-first-century epidemics of SARS, Ebola, and Zika have all cost thousands of lives and tens of billions of dollars. The economic cost of COVID, of course, has been staggering. In a Journal of the American Medical Association article published in October of 2020 and based on the assumption that COVID-19 would be under control by the Fall of 2021, the authors estimated the cost of the epidemic at 16 trillion dollars.7 That article was published before a number of the subsequent unknowns inherent in epidemics popped up—the vaccines, the mutations, the distribution delays. However accurate or inaccurate the estimate, the underlying point is clear: disease-ridden societies cannot prosper.

      Viruses are particularly fantastic epidemic starter material, and Disease X refers specifically to viral pathogens, but epidemics don't have to be viral. Bacteria like streptococcus, the ubiquitous bug that infects human throats and causes the familiar childhood strep infection, and microscopic animals called protozoans, responsible for malaria, for example, can all move rapidly through human populations with devastating effect.

      Those are just biological epidemics. We also now know epidemics can be behavioral and social, following the same organizing rules as purely biological ones. Authors such as Nicholas Christakis and James Fowler, who wrote a wonderful book called Connected: The Surprising Power of Our Social Networks, and Damon Centola, who wrote How Behavior Spreads: The Science of Complex Contagions, have revealed how behavioral epidemics both follow the rules of biological epidemics and also run counter to them in some ways. Although there are similarities and differences, the epidemics themselves are quite real.

      These “believe-and-behave” epidemics are moving through our population with sinister effects. Opioid addiction is a classic example, but racism, antivaccine thinking, disinformation, QAnon, and online hate speech all follow the rules of epidemic spread within our human populations, apparently undaunted by our conventional efforts to stop them. Our social communities inherently unleash or corral ideas, insights, bias, and behaviors—voting tendencies, sexual practices, culinary recipes—much the way ecosystems unleash, stabilize, or inhibit infectious diseases.

      We all want these epidemics to stop, to go away and never come back. But they don't. We have managed to eliminate a few, smallpox being the poster child for disease eradication, but most are stubborn and relentlessly reappearing. Influenza is a classic example, returning every year when the time is right. Equipped with maddeningly adaptive changes in its DNA sequencing that allow it to slip past both our engineered barriers—the annual version of the flu vaccine and our advocacy programs for getting a flu shot—and our bodily surveillance—our individual immune systems—it is relentless among us. There are other epidemics on which we have made great progress only to be foiled by an additive perceptual epidemic that has mitigated our efforts to stop the disease itself, as is the case with measles and antivaccine sentiment.

      We've seen all these intertwined realities with COVID, and the take-home message for leaders is less about COVID itself, bad as it is, and more about the pattern of epidemic action in our social identity, large and small. We now know more about how epidemics rise, propagate, and abate, but the patterns are as timeless as biology, and they are not going away. The epidemics I was battling were not new to me or to science on my overwhelming night in the emergency department. We had been seeing gonorrhea, chlamydia, and influenza for years; we had also been seeing obesity, diabetes, domestic violence, and opioid use advancing across our populations.

      It turns out epidemics are not just past and present; they are also future. Epidemics are not rare; they're common. Epidemics are not hypothetical; they're real. Born of disruption, they launch from a thousand places and cause more disruption. Epidemics aren't just throwing us into chaos but depend on and benefit from that chaos to rise and move. With our dense and redundant networks of travel, trade, and communication, we've built a world in which they will rise and rise again. They can and will be devastating.

      After all the unwinding of what we considered stable and normal by COVID-19, the idea of emulating an epidemic, rather than fighting one, sounds almost sociopathic. Beyond understanding the dynamics of misery, is there anything to learn from these sprawling, creeping, relentless phenomena? Can understanding epidemics shed light on how we might lead positively, effectively, and exponentially in a world where disruption, velocity, and uncertainty bloom in the fields of “new normal” or the “new abnormal”? Can epidemics teach us, not just warn us? Can we learn to lead like them, not just in the face of them?

      Yes.

      Epidemics are not just negative and devastating; they can be positive and empowering. They surf on the same principles of social networks and multiply via the same organizing elements that leaders can use to positive advantage. What differentiates the value of an epidemic is its pathogen, its “disease maker,” the thing that is multiplied and spread across a population. While the duration of a pathogen's effects and how fast or slow it spreads are adjuncts of whether we see an epidemic as “bad” or “good,” the kernel of its value lies in its founding idea, which can unfold in unforeseeable combinations across populations. Bad ideas cause bad epidemics as they spread through our linked social networks, themselves powered by neural and technological networks; good ideas can seed good epidemics via the same approaches.


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