Will there be another pandemic in your lifetime?

470,740 views ・ 2022-11-10

TED-Ed


Bitte doppelklicken Sie auf die englischen Untertitel unten, um das Video abzuspielen.

Übersetzung: Đặng Hiểu Vy Lektorat: Natalie Solbach
00:06
The Black Death.
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The 1918 Flu Pandemic.
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COVID-19.
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We tend to think of these catastrophic, world-changing pandemics
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as very unlikely events.
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But between 1980 and 2020,
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at least three diseases emerged that caused global pandemics.
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COVID-19, yes, but also the 2009 swine flu and HIV/AIDS.
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Disease outbreaks are surprisingly common.
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Over the past four centuries,
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the longest stretch of time without a documented outbreak
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that killed at least 10,000 people was just four years.
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As bad as these smaller outbreaks are,
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they’re far less deadly than a COVID-19-level pandemic.
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In fact, many people born after the 1918 flu lived their entire lives
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without experiencing a similar world-changing pandemic.
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What’s the probability that you do, too?
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There are several ways to answer this question.
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You could look at history.
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A team of scientists and engineers who took this approach
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catalogued all documented epidemics and pandemics between 1600 and 1950.
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They used that data to do two things.
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First, to graph the likelihood that an outbreak of any size
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pops up somewhere in the world over a set period of time.
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And second, to estimate the likelihood that that outbreak would get large enough
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to kill a certain percentage of the world's population.
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This graph shows that while huge pandemics are unlikely,
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they're not that unlikely.
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The team used these two distributions to estimate that the risk
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of a COVID-19-level pandemic is about 0.5% per year,
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and could be as high as 1.4%
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if new diseases emerge more frequently in the future.
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And we’ll come back to those numbers,
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but first, let’s look at another way to estimate the likelihood
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of a future pandemic:
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modeling one from the ground up.
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For most pandemics to happen, a pathogen, which is a microbe that can cause disease,
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has to spill over from its normal host by making contact with and infecting a human.
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Then, the pathogen has to spread widely,
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crossing international boundaries and infecting lots of people.
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Many variables determine whether a given spillover event becomes a pandemic.
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For example, the type of pathogen, how often humans come into close contact
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with its animal reservoir, existing immunity, and so on.
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Viruses are prime candidates to cause the next big pandemic.
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Scientists estimate that there are about 1.7 million as-yet-undiscovered viruses
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that currently infect mammals and birds,
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and that roughly 40% of these have the potential to spill over and infect humans.
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A team of scientists built a model using this information,
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as well as data about the global population, air travel networks,
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how people move around in communities, country preparedness levels,
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and how people might respond to pandemics.
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The model generated hundreds of thousands of virtual pandemics.
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The scientists then used this catalog to estimate
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that the probability of another COVID-19-level pandemic
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is 2.5 to 3.3% per year.
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To get a sense of how these risks play out over a lifetime,
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let’s pick a value roughly in the middle of all these estimates: 2%.
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Now let’s build what’s called a probability tree diagram
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to model all possible scenarios.
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The first branch of the tree represents the first year:
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there’s a 2% probability of experiencing a COVID-19-level pandemic,
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which means there’s a 98% probability of not experiencing one.
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Second branch, same thing,
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Third branch, same.
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And so on, 72 more times.
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There is only one path that results in a fully pandemic-free lifetime:
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98%, or 0.98, multiplied by itself 75 times,
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which comes out to roughly 22%.
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So the likelihood of living through at least one more COVID 19-level-pandemic
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in the next 75 years is 100 minus 22%, or 78%.
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78%!
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If we use the most optimistic yearly estimate— 0.5%—
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the lifetime probability drops to 31%.
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If we use the most pessimistic one, it jumps to 92%.
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Even 31% is too high to ignore;
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even if we get lucky, future generations might not.
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Also, pandemics are usually random, independent events:
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so even if the yearly probability of a COVID-19-level pandemic is 1%,
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we could absolutely get another one in ten years.
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The good news is we now have tools that make pandemics less destructive.
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Scientists estimated that early warning systems, contact tracing,
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social distancing, and other public health measures
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saved over a million lives in just the first six months
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of the COVID-19 pandemic in the US,
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not to mention the millions of lives saved by vaccines.
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One day, another pandemic will sweep the globe.
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But we can work to make that day less likely to be tomorrow.
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We can reduce the risk of spillover events,
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and we can contain spillovers that do happen
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so they don’t become full-blown pandemics.
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Imagine how the future might look if we interacted
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with the animal world more carefully,
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and if we had well-funded, open-access global disease monitoring programs,
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AI-powered contact tracing and isolation measures,
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universal vaccines, next-generation antiviral drugs,
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and other tech we haven't even thought of.
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It’s in our power to change these probabilities.
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So, we have a choice: we could do nothing and hope we get lucky.
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Or we could take the threat seriously enough
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that it becomes a self-defeating prophecy.
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Which future would you rather live in?
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