Polio to COVID-19: Why Has Vaccine Confidence Eroded Over the Last 70 Years?
On the morning of April 12, 1955, newsrooms across the United States inked headlines onto newsprint: the Salk Polio vaccine was "safe, effective, and potent." This was long-awaited news. Americans had limped through decades of fear, unaware of what caused polio or how to cure it, faced with the disease's terrifying, visible power to paralyze and kill, particularly children.
The announcement of the polio vaccine was celebrated with noisy jubilation: church bells rang, factory whistles sounded, people wept in the streets. Within weeks, mass inoculation began as the nation put its faith in a vaccine that would end polio.
Today, most of us are blissfully ignorant of child polio deaths, making it easier to believe that we have not personally benefited from the development of vaccines. According to Dr. Steven Pinker, cognitive psychologist and author of the bestselling book Enlightenment Now, we've become blasé to the gifts of science. "The default expectation is not that disease is part of life and science is a godsend, but that health is the default, and any disease is some outrage," he says.
We're now in the early stages of another vaccine rollout, one we hope will end the ravages of the COVID-19 pandemic. And yet, the Pfizer, Moderna, and AstraZeneca vaccines are met with far greater hesitancy and skepticism than the polio vaccine was in the 50s.
In 2021, concerns over the speed and safety of vaccine development and technology plague this heroic global effort, but the roots of vaccine hesitancy run far deeper. Vaccine hesitancy has always existed in the U.S., even in the polio era, motivated in part by fears around "living virus" in a bad batch of vaccines produced by Cutter Laboratories in 1955. But in the last half century, we've witnessed seismic cultural shifts—loss of public trust, a rise in misinformation, heightened racial and socioeconomic inequality, and political polarization have all intensified vaccine-related fears and resistance. Making sense of how we got here may help us understand how to move forward.
The Rise and Fall of Public Trust
When the polio vaccine was released in 1955, "we were nearing an all-time high point in public trust," says Matt Baum, Harvard Kennedy School professor and lead author of several reports measuring public trust and vaccine confidence. Baum explains that the U.S. was experiencing a post-war boom following the Allied triumph in WWII, a popular Roosevelt presidency, and the rapid innovation that elevated the country to an international superpower.
The 1950s witnessed the emergence of nuclear technology, a space program, and unprecedented medical breakthroughs, adds Emily Brunson, Texas State University anthropologist and co-chair of the Working Group on Readying Populations for COVID-19 Vaccine. "Antibiotics were a game changer," she states. While before, people got sick with pneumonia for a month, suddenly they had access to pills that accelerated recovery.
During this period, science seemed to hold all the answers; people embraced the idea that we could "come to know the world with an absolute truth," Brunson explains. Doctors were portrayed as unquestioned gods, so Americans were primed to trust experts who told them the polio vaccine was safe.
"The emotional tone of the news has gone downward since the 1940s, and journalists consider it a professional responsibility to cover the negative."
That blind acceptance eroded in the 1960s and 70s as people came to understand that science can be inherently political. "Getting to an absolute truth works out great for white men, but these things affect people socially in radically different ways," Brunson says. As the culture began questioning the white, patriarchal biases of science, doctors lost their god-like status and experts were pushed off their pedestals. This trend continues with greater intensity today, as President Trump has led a campaign against experts and waged a war on science that began long before the pandemic.
The Shift in How We Consume Information
In the 1950s, the media created an informational consensus. The fundamental ideas the public consumed about the state of the world were unified. "People argued about the best solutions, but didn't fundamentally disagree on the factual baseline," says Baum. Indeed, the messaging around the polio vaccine was centralized and consistent, led by President Roosevelt's successful March of Dimes crusade. People of lower socioeconomic status with limited access to this information were less likely to have confidence in the vaccine, but most people consumed media that assured them of the vaccine's safety and mobilized them to receive it.
Today, the information we consume is no longer centralized—in fact, just the opposite. "When you take that away, it's hard for people to know what to trust and what not to trust," Baum explains. We've witnessed an increase in polarization and the technology that makes it easier to give people what they want to hear, reinforcing the human tendencies to vilify the other side and reinforce our preexisting ideas. When information is engineered to further an agenda, each choice and risk calculation made while navigating the COVID-19 pandemic is deeply politicized.
This polarization maps onto a rise in socioeconomic inequality and economic uncertainty. These factors, associated with a sense of lost control, prime people to embrace misinformation, explains Baum, especially when the situation is difficult to comprehend. "The beauty of conspiratorial thinking is that it provides answers to all these questions," he says. Today's insidious fragmentation of news media accelerates the circulation of mis- and disinformation, reaching more people faster, regardless of veracity or motivation. In the case of vaccines, skepticism around their origin, safety, and motivation is intensified.
Alongside the rise in polarization, Pinker says "the emotional tone of the news has gone downward since the 1940s, and journalists consider it a professional responsibility to cover the negative." Relentless focus on everything that goes wrong further erodes public trust and paints a picture of the world getting worse. "Life saved is not a news story," says Pinker, but perhaps it should be, he continues. "If people were more aware of how much better life was generally, they might be more receptive to improvements that will continue to make life better. These improvements don't happen by themselves."
The Future Depends on Vaccine Confidence
So far, the U.S. has been unable to mitigate the catastrophic effects of the pandemic through social distancing, testing, and contact tracing. President Trump has downplayed the effects and threat of the virus, censored experts and scientists, given up on containing the spread, and mobilized his base to protest masks. The Trump Administration failed to devise a national plan, so our national plan has defaulted to hoping for the "miracle" of a vaccine. And they are "something of a miracle," Pinker says, describing vaccines as "the most benevolent invention in the history of our species." In record-breaking time, three vaccines have arrived. But their impact will be weakened unless we achieve mass vaccination. As Brunson notes, "The technology isn't the fix; it's people taking the technology."
Significant challenges remain, including facilitating widespread access and supporting on-the-ground efforts to allay concerns and build trust with specific populations with historic reasons for distrust, says Brunson. Baum predicts continuing delays as well as deaths from other causes that will be linked to the vaccine.
Still, there's every reason for hope. The new administration "has its eyes wide open to these challenges. These are the kind of problems that are amenable to policy solutions if we have the will," Baum says. He forecasts widespread vaccination by late summer and a bounce back from the economic damage, a "Good News Story" that will bolster vaccine acceptance in the future. And Pinker reminds us that science, medicine, and public health have greatly extended our lives in the last few decades, a trend that can only continue if we're willing to roll up our sleeves.
DNA- and RNA-based electronic implants may revolutionize healthcare
Implantable electronic devices can significantly improve patients’ quality of life. A pacemaker can encourage the heart to beat more regularly. A neural implant, usually placed at the back of the skull, can help brain function and encourage higher neural activity. Current research on neural implants finds them helpful to patients with Parkinson’s disease, vision loss, hearing loss, and other nerve damage problems. Several of these implants, such as Elon Musk’s Neuralink, have already been approved by the FDA for human use.
Yet, pacemakers, neural implants, and other such electronic devices are not without problems. They require constant electricity, limited through batteries that need replacements. They also cause scarring. “The problem with doing this with electronics is that scar tissue forms,” explains Kate Adamala, an assistant professor of cell biology at the University of Minnesota Twin Cities. “Anytime you have something hard interacting with something soft [like muscle, skin, or tissue], the soft thing will scar. That's why there are no long-term neural implants right now.” To overcome these challenges, scientists are turning to biocomputing processes that use organic materials like DNA and RNA. Other promised benefits include “diagnostics and possibly therapeutic action, operating as nanorobots in living organisms,” writes Evgeny Katz, a professor of bioelectronics at Clarkson University, in his book DNA- And RNA-Based Computing Systems.
While a computer gives these inputs in binary code or "bits," such as a 0 or 1, biocomputing uses DNA strands as inputs, whether double or single-stranded, and often uses fluorescent RNA as an output.
Adamala’s research focuses on developing such biocomputing systems using DNA, RNA, proteins, and lipids. Using these molecules in the biocomputing systems allows the latter to be biocompatible with the human body, resulting in a natural healing process. In a recent Nature Communications study, Adamala and her team created a new biocomputing platform called TRUMPET (Transcriptional RNA Universal Multi-Purpose GatE PlaTform) which acts like a DNA-powered computer chip. “These biological systems can heal if you design them correctly,” adds Adamala. “So you can imagine a computer that will eventually heal itself.”
The basics of biocomputing
Biocomputing and regular computing have many similarities. Like regular computing, biocomputing works by running information through a series of gates, usually logic gates. A logic gate works as a fork in the road for an electronic circuit. The input will travel one way or another, giving two different outputs. An example logic gate is the AND gate, which has two inputs (A and B) and two different results. If both A and B are 1, the AND gate output will be 1. If only A is 1 and B is 0, the output will be 0 and vice versa. If both A and B are 0, the result will be 0. While a computer gives these inputs in binary code or "bits," such as a 0 or 1, biocomputing uses DNA strands as inputs, whether double or single-stranded, and often uses fluorescent RNA as an output. In this case, the DNA enters the logic gate as a single or double strand.
If the DNA is double-stranded, the system “digests” the DNA or destroys it, which results in non-fluorescence or “0” output. Conversely, if the DNA is single-stranded, it won’t be digested and instead will be copied by several enzymes in the biocomputing system, resulting in fluorescent RNA or a “1” output. And the output for this type of binary system can be expanded beyond fluorescence or not. For example, a “1” output might be the production of the enzyme insulin, while a “0” may be that no insulin is produced. “This kind of synergy between biology and computation is the essence of biocomputing,” says Stephanie Forrest, a professor and the director of the Biodesign Center for Biocomputing, Security and Society at Arizona State University.
Biocomputing circles are made of DNA, RNA, proteins and even bacteria.
Evgeny Katz
The TRUMPET’s promise
Depending on whether the biocomputing system is placed directly inside a cell within the human body, or run in a test-tube, different environmental factors play a role. When an output is produced inside a cell, the cell's natural processes can amplify this output (for example, a specific protein or DNA strand), creating a solid signal. However, these cells can also be very leaky. “You want the cells to do the thing you ask them to do before they finish whatever their businesses, which is to grow, replicate, metabolize,” Adamala explains. “However, often the gate may be triggered without the right inputs, creating a false positive signal. So that's why natural logic gates are often leaky." While biocomputing outside a cell in a test tube can allow for tighter control over the logic gates, the outputs or signals cannot be amplified by a cell and are less potent.
TRUMPET, which is smaller than a cell, taps into both cellular and non-cellular biocomputing benefits. “At its core, it is a nonliving logic gate system,” Adamala states, “It's a DNA-based logic gate system. But because we use enzymes, and the readout is enzymatic [where an enzyme replicates the fluorescent RNA], we end up with signal amplification." This readout means that the output from the TRUMPET system, a fluorescent RNA strand, can be replicated by nearby enzymes in the platform, making the light signal stronger. "So it combines the best of both worlds,” Adamala adds.
These organic-based systems could detect cancer cells or low insulin levels inside a patient’s body.
The TRUMPET biocomputing process is relatively straightforward. “If the DNA [input] shows up as single-stranded, it will not be digested [by the logic gate], and you get this nice fluorescent output as the RNA is made from the single-stranded DNA, and that's a 1,” Adamala explains. "And if the DNA input is double-stranded, it gets digested by the enzymes in the logic gate, and there is no RNA created from the DNA, so there is no fluorescence, and the output is 0." On the story's leading image above, if the tube is "lit" with a purple color, that is a binary 1 signal for computing. If it's "off" it is a 0.
While still in research, TRUMPET and other biocomputing systems promise significant benefits to personalized healthcare and medicine. These organic-based systems could detect cancer cells or low insulin levels inside a patient’s body. The study’s lead author and graduate student Judee Sharon is already beginning to research TRUMPET's ability for earlier cancer diagnoses. Because the inputs for TRUMPET are single or double-stranded DNA, any mutated or cancerous DNA could theoretically be detected from the platform through the biocomputing process. Theoretically, devices like TRUMPET could be used to detect cancer and other diseases earlier.
Adamala sees TRUMPET not only as a detection system but also as a potential cancer drug delivery system. “Ideally, you would like the drug only to turn on when it senses the presence of a cancer cell. And that's how we use the logic gates, which work in response to inputs like cancerous DNA. Then the output can be the production of a small molecule or the release of a small molecule that can then go and kill what needs killing, in this case, a cancer cell. So we would like to develop applications that use this technology to control the logic gate response of a drug’s delivery to a cell.”
Although platforms like TRUMPET are making progress, a lot more work must be done before they can be used commercially. “The process of translating mechanisms and architecture from biology to computing and vice versa is still an art rather than a science,” says Forrest. “It requires deep computer science and biology knowledge,” she adds. “Some people have compared interdisciplinary science to fusion restaurants—not all combinations are successful, but when they are, the results are remarkable.”
In today’s podcast episode, Leaps.org Deputy Editor Lina Zeldovich speaks about the health and ecological benefits of farming crickets for human consumption with Bicky Nguyen, who joins Lina from Vietnam. Bicky and her business partner Nam Dang operate an insect farm named CricketOne. Motivated by the idea of sustainable and healthy protein production, they started their unconventional endeavor a few years ago, despite numerous naysayers who didn’t believe that humans would ever consider munching on bugs.
Yet, making creepy crawlers part of our diet offers many health and planetary advantages. Food production needs to match the rise in global population, estimated to reach 10 billion by 2050. One challenge is that some of our current practices are inefficient, polluting and wasteful. According to nonprofit EarthSave.org, it takes 2,500 gallons of water, 12 pounds of grain, 35 pounds of topsoil and the energy equivalent of one gallon of gasoline to produce one pound of feedlot beef, although exact statistics vary between sources.
Meanwhile, insects are easy to grow, high on protein and low on fat. When roasted with salt, they make crunchy snacks. When chopped up, they transform into delicious pâtes, says Bicky, who invents her own cricket recipes and serves them at industry and public events. Maybe that’s why some research predicts that edible insects market may grow to almost $10 billion by 2030. Tune in for a delectable chat on this alternative and sustainable protein.
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Further reading:
More info on Bicky Nguyen
https://yseali.fulbright.edu.vn/en/faculty/bicky-n...
The environmental footprint of beef production
https://www.earthsave.org/environment.htm
https://www.watercalculator.org/news/articles/beef-king-big-water-footprints/
https://www.frontiersin.org/articles/10.3389/fsufs.2019.00005/full
https://ourworldindata.org/carbon-footprint-food-methane
Insect farming as a source of sustainable protein
https://www.insectgourmet.com/insect-farming-growing-bugs-for-protein/
https://www.sciencedirect.com/topics/agricultural-and-biological-sciences/insect-farming
Cricket flour is taking the world by storm
https://www.cricketflours.com/
https://talk-commerce.com/blog/what-brands-use-cricket-flour-and-why/
Lina Zeldovich has written about science, medicine and technology for Popular Science, Smithsonian, National Geographic, Scientific American, Reader’s Digest, the New York Times and other major national and international publications. A Columbia J-School alumna, she has won several awards for her stories, including the ASJA Crisis Coverage Award for Covid reporting, and has been a contributing editor at Nautilus Magazine. In 2021, Zeldovich released her first book, The Other Dark Matter, published by the University of Chicago Press, about the science and business of turning waste into wealth and health. You can find her on http://linazeldovich.com/ and @linazeldovich.