Masks and Distancing Won't Be Enough to Prevent School Outbreaks, Latest Science Suggests
Never has the prospect of "back to school" seemed so ominous as it does in 2020. As the number of COVID-19 cases climb steadily in nearly every state, the prospect of in-person classes are filling students, parents, and faculty alike with a corresponding sense of dread.
The notion that children are immune or resistant to SARS-CoV-2 is demonstrably untrue.
The decision to resume classes at primary, secondary, and collegiate levels is not one that should be regarded lightly, particularly as coronavirus cases skyrocket across the United States.
What should be a measured, data-driven discussion that weighs risks and benefits has been derailed by political talking points. President Trump has been steadily advocating for an unfettered return to the classroom, often through imperative "OPEN THE SCHOOLS!!!" tweets. In July, Secretary of Education Betsy DeVos threatened to withhold funding from schools that did not reopen for full-time, in-person classes, despite not having the authority to do so. Like so many public health issues, opening schools in the midst of a generational pandemic has been politicized to the point that the question of whether it is safe to do so has been obscured and confounded. However, this question still deserves to be examined based on evidence.
What We Know About Kids and COVID-19
Some arguments for returning to in-person education have focused on the fact that children and young adults are less susceptible to severe disease. In some cases, people have stated that children cannot be infected, pointing to countries that have resumed in-person education with no associated outbreaks. However, those countries had extremely low community transmission and robust testing and surveillance.
The notion that children are immune or resistant to SARS-CoV-2 is demonstrably untrue: children can be infected, they can become sick, and, in rare cases, they can die. Children can also transmit the virus to others, especially if they are in prolonged proximity to them. A Georgia sleepaway camp was the site of at least 260 cases among mostly children and teenagers, some as young as 6 years old. Children have been shown to shed infectious virus in their nasal secretions and have viral loads comparable to adults. Children can unquestionably be infected with SARS-CoV-2 and spread it to others.
The more data emerges, the more it appears that both primary and secondary schools and universities alike are conducive environments for super-spreading. Mitigating these risks depends heavily on individual schools' ability to enforce reduction measures. So far, the evidence demonstrates that in most cases, schools are unable to adequately protect students or staff. A school superintendent from a small district in Arizona recently described an outbreak that occurred among staff prior to in-person classes resuming. Schools that have opened so far have almost immediately reported new clusters of cases among students or staff.
This is because it is impossible to completely eliminate risk even with the most thoughtful mitigation measures when community transmission is high. Risk can be reduced, but the greater the likelihood that someone will be exposed in the community, the greater the risk they might pass the virus to others on campus or in the classroom.
There are still many unknowns about SARS-CoV-2 transmission, but some environments are known risks for virus transmission: enclosed spaces with crowds of people in close proximity over extended durations. Transmission is thought to occur predominantly through inhaled aerosols or droplets containing SARS-CoV-2, which are produced through common school activities such as breathing, speaking, or singing. Masks reduce but do not eliminate the production of these aerosols. Implementing universal mask-wearing and physical distancing guidelines will furthermore be extraordinarily challenging for very young children.
Smaller particle aerosols can remain suspended in the air and accumulate over time. In an enclosed space where people are gathering, such as a classroom, this renders risk mitigation measures such as physical distancing and masks ineffective. Many classrooms at all levels of education are not conducive to improving ventilation through low-cost measures such as opening windows, much less installing costly air filtration systems.
As a risk reduction measure, ventilation greatly depends on factors like window placement, window type, room size, room occupancy, building HVAC systems, and overall airflow. There isn't much hard data on the specific effects of ventilation on virus transmission, and the models that support ventilation rely on assumptions based on scant experimental evidence that doesn't account for virologic parameters.
There is also no data about how effective air filtration or UV systems would be for SARS-CoV-2 transmission risk reduction, so it's hard to say if this would result in a meaningful risk reduction or not. We don't have enough data outside of a hospital setting to support that ventilation and/or filtration would significantly reduce risk, and it's impractical (and most likely impossible in most schools) to implement hospital ventilation systems, which would likely require massive remodeling of existing HVAC infrastructure. In a close contact situation, the risk reduction might be minimal anyway since it's difficult to avoid exposure to respiratory aerosols and droplets a person is exhaling.
You'd need to get very low rates in the local community to open safely in person regardless of other risk reduction measures, and this would need to be complemented by robust testing and contact tracing capacity.
Efforts to resume in-person education depend heavily on school health and safety plans, which often rely on self-reporting of symptoms due to insufficient testing capacity. Self-reporting is notoriously unreliable, and furthermore, SARS-CoV-2 can be readily transmitted by pre-symptomatic individuals who may be unaware that they are sick, making testing an essential component of any such plan. Primary and secondary schools are faced with limited access to testing and no funds to support it. Even in institutions that include a testing component in their reopening plans, this is still too infrequent to support the full student body returning to campus.
Economic Conflicts of Interest
Rebecca Harrison, a PhD candidate at Cornell University serving on the campus reopening committee, is concerned that her institution's plan places too much faith in testing capacity and is over-reliant on untested models. Harrison says that, as a result, students are being implicitly encouraged to return to campus and "very little has been done to actively encourage students who are safe and able to stay home, to actually stay home."
Harrison also is concerned that her institution "presumably hopes to draw students back from the safety of their parents' basements to (re)join the residential campus experience ... and drive revenue." This is a legitimate concern. Some schools may be actively thwarting safety plans in place to protect students based on financial incentives. Student athletes at Colorado State have alleged that football coaches told them not to report COVID-19 symptoms and are manipulating contact tracing reports.
Public primary and secondary schools are not dependent on student athletics for revenue, but nonetheless are susceptible to state and federal policies that tie reopening to budgets. If schools are forced to make decisions based on a balance sheet, rather than the health and safety of students, teachers, and staff, they will implement health and safety plans that are inadequate. Schools will become ground zero for new clusters of cases.
Looking Ahead: When Will Schools Be Able to Open Again?
One crucial measure is the percent positivity rate in the local community, the number of positive tests based on all the tests that are done. Some states, like California, have implemented policies guiding the reopening of schools that depend in part on a local community's percent positivity rate falling under 8 percent, among other benchmarks including the rate of new daily cases. Currently, statewide, test positivity is below 7%, with an average of 3 new daily cases per 1000 people per day. However, the California department of health acknowledges that new cases per day are underreported. There are 6.3 million students in the California public school system, suggesting that at any given time, there could be nearly 20,000 students who might be contagious, without accounting for presymptomatic teachers and staff. In the classroom environment, just one of those positive cases could spread the virus to many people in one day despite masks, distancing, and ventilation.
You'd need to get very low rates in the local community to open safely in person regardless of other risk reduction measures, and this would need to be complemented by robust testing and contact tracing capacity. Only with rapid identification and isolation of new cases, followed by contact tracing and quarantine, can we break chains of transmission and prevent further spread in the school and the larger community.
None of these safety concerns diminish the many harms associated with the sudden and haphazard way remote learning has been implemented. Online education has not been effective in many cases and is difficult to implement equitably. Young children, in particular, are deprived of the essential social and intellectual development they would normally get in a classroom with teachers and their peers. Parents of young children are equally unprepared and unable to provide full-time instruction. Our federal leadership's catastrophic failure to contain the pandemic like other countries has put us in this terrible position, where we must choose between learning or spreading a deadly pathogen.
Blame aside, parents, educators, and administrators must decide whether to resume in-person classes this fall. Those decisions should be based on evidence, not on politics or economics. The data clearly shows that community transmission is out of control throughout most of the country. Thus, we ignore the risk of school outbreaks at our peril.
[Editor's Note: Here's the other essay in the Back to School series: 5 Key Questions to Consider Before Sending Your Child Back to School.]
A new injection is helping stave off RSV this season
In November 2021, Mickayla Wininger’s then one-month-old son, Malcolm, endured a terrifying bout with RSV, the respiratory syncytial (sin-SISH-uhl) virus—a common ailment that affects all age groups. Most people recover from mild, cold-like symptoms in a week or two, but RSV can be life-threatening in others, particularly infants.
Wininger, who lives in southern Illinois, was dressing Malcolm for bed when she noticed what seemed to be a minor irregularity with this breathing. She and her fiancé, Gavin McCullough, planned to take him to the hospital the next day. The matter became urgent when, in the morning, the boy’s breathing appeared to have stopped.
After they dialed 911, Malcolm started breathing again, but he ended up being hospitalized three times for RSV and defects in his heart. Eventually, he recovered fully from RSV, but “it was our worst nightmare coming to life,” Wininger recalled.
It’s a scenario that the federal government is taking steps to prevent. In July, the Food and Drug Administration approved a single-dose, long-acting injection to protect babies and toddlers. The injection, called Beyfortus, or nirsevimab, became available this October. It reduces the incidence of RSV in pre-term babies and other infants for their first RSV season. Children at highest risk for severe RSV are those who were born prematurely and have either chronic lung disease of prematurity or congenital heart disease. In those cases, RSV can progress to lower respiratory tract diseases such as pneumonia and bronchiolitis, or swelling of the lung’s small airway passages.
Each year, RSV is responsible for 2.1 million outpatient visits among children younger than five-years-old, 58,000 to 80,000 hospitalizations in this age group, and between 100 and 300 deaths, according to the Centers for Disease Control and Prevention. Transmitted through close contact with an infected person, the virus circulates on a seasonal basis in most regions of the country, typically emerging in the fall and peaking in the winter.
In August, however, the CDC issued a health advisory on a late-summer surge in severe cases of RSV among young children in Florida and Georgia. The agency predicts "increased RSV activity spreading north and west over the following two to three months.”
Infants are generally more susceptible to RSV than older people because their airways are very small, and their mechanisms to clear these passages are underdeveloped. RSV also causes mucus production and inflammation, which is more of a problem when the airway is smaller, said Jennifer Duchon, an associate professor of newborn medicine and pediatrics in the Icahn School of Medicine at Mount Sinai in New York.
In 2021 and 2022, RSV cases spiked, sending many to emergency departments. “RSV can cause serious disease in infants and some children and results in a large number of emergency department and physician office visits each year,” John Farley, director of the Office of Infectious Diseases in the FDA’s Center for Drug Evaluation and Research, said in a news release announcing the approval of the RSV drug. The decision “addresses the great need for products to help reduce the impact of RSV disease on children, families and the health care system.”
Sean O’Leary, chair of the committee on infectious diseases for the American Academy of Pediatrics, says that “we’ve never had a product like this for routine use in children, so this is very exciting news.” It is recommended for all kids under eight months old for their first RSV season. “I would encourage nirsevimab for all eligible children when it becomes available,” O’Leary said.
For those children at elevated risk of severe RSV and between the ages of 8 and 19 months, the CDC recommends one dose in their second RSV season.
The drug will be “really helpful to keep babies healthy and out of the hospital,” said O’Leary, a professor of pediatrics at the University of Colorado Anschutz Medical Campus/Children’s Hospital Colorado in Denver.
An antiviral drug called Synagis (palivizumab) has been an option to prevent serious RSV illness in high-risk infants since it was approved by the FDA in 1998. The injection must be given monthly during RSV season. However, its use is limited to “certain children considered at high risk for complications, does not help cure or treat children already suffering from serious RSV disease, and cannot prevent RSV infection,” according to the National Foundation for Infectious Diseases.
Until the approval this summer of the new monoclonal antibody, nirsevimab, there wasn’t a reliable method to prevent infection in most healthy infants.
Both nirsevimab and palivizumab are monoclonal antibodies that act against RSV. Monoclonal antibodies are lab-made proteins that mimic the immune system’s ability to fight off harmful pathogens such as viruses. A single intramuscular injection of nirsevimab preceding or during RSV season may provide protection.
The strategy with the new monoclonal antibody is “to extend protection to healthy infants who nonetheless are at risk because of their age, as well as infants with additional medical risk factors,” said Philippa Gordon, a pediatrician and infectious disease specialist in Brooklyn, New York, and medical adviser to Park Slope Parents, an online community support group.
No specific preventive measure is needed for older and healthier kids because they will develop active immunity, which is more durable. Meanwhile, older adults, who are also vulnerable to RSV, can receive one of two new vaccines. So can pregnant women, who pass on immunity to the fetus, Gordon said.
Until the approval this summer of the new monoclonal antibody, nirsevimab, there wasn’t a reliable method to prevent infection in most healthy infants, “nor is there any treatment other than giving oxygen or supportive care,” said Stanley Spinner, chief medical officer and vice president of Texas Children’s Pediatrics and Texas Children’s Urgent Care.
As with any virus, washing hands frequently and keeping infants and children away from sick people are the best defenses, Duchon said. This approach isn’t foolproof because viruses can run rampant in daycare centers, schools and parents’ workplaces, she added.
Mickayla Wininger, Malcolm’s mother, insists that family and friends wear masks, wash their hands and use hand sanitizer when they’re around her daughter and two sons. She doesn’t allow them to kiss or touch the children. Some people take it personally, but she would rather be safe than sorry.
Wininger recalls the severe anxiety caused by Malcolm's ordeal with RSV. After returning with her infant from his hospital stays, she was terrified to go to sleep. “My fiancé and I would trade shifts, so that someone was watching over our son 24 hours a day,” she said. “I was doing a night shift, so I would take caffeine pills to try and keep myself awake and would end up crashing early hours in the morning and wake up frantically thinking something happened to my son.”
Two years later, her anxiety has become more manageable, and Malcolm is doing well. “He is thriving now,” Wininger said. He recently had his second birthday and "is just the spunkiest boy you will ever meet. He looked death straight in the eyes and fought to be here today.”
Story by Big Think
For most of history, artificial intelligence (AI) has been relegated almost entirely to the realm of science fiction. Then, in late 2022, it burst into reality — seemingly out of nowhere — with the popular launch of ChatGPT, the generative AI chatbot that solves tricky problems, designs rockets, has deep conversations with users, and even aces the Bar exam.
But the truth is that before ChatGPT nabbed the public’s attention, AI was already here, and it was doing more important things than writing essays for lazy college students. Case in point: It was key to saving the lives of tens of millions of people.
AI-designed mRNA vaccines
As Dave Johnson, chief data and AI officer at Moderna, told MIT Technology Review‘s In Machines We Trust podcast in 2022, AI was integral to creating the company’s highly effective mRNA vaccine against COVID. Moderna and Pfizer/BioNTech’s mRNA vaccines collectively saved between 15 and 20 million lives, according to one estimate from 2022.
Johnson described how AI was hard at work at Moderna, well before COVID arose to infect billions. The pharmaceutical company focuses on finding mRNA therapies to fight off infectious disease, treat cancer, or thwart genetic illness, among other medical applications. Messenger RNA molecules are essentially molecular instructions for cells that tell them how to create specific proteins, which do everything from fighting infection, to catalyzing reactions, to relaying cellular messages.
Johnson and his team put AI and automated robots to work making lots of different mRNAs for scientists to experiment with. Moderna quickly went from making about 30 per month to more than one thousand. They then created AI algorithms to optimize mRNA to maximize protein production in the body — more bang for the biological buck.
For Johnson and his team’s next trick, they used AI to automate science, itself. Once Moderna’s scientists have an mRNA to experiment with, they do pre-clinical tests in the lab. They then pore over reams of data to see which mRNAs could progress to the next stage: animal trials. This process is long, repetitive, and soul-sucking — ill-suited to a creative scientist but great for a mindless AI algorithm. With scientists’ input, models were made to automate this tedious process.
“We don’t think about AI in the context of replacing humans,” says Dave Johnson, chief data and AI officer at Moderna. “We always think about it in terms of this human-machine collaboration, because they’re good at different things. Humans are really good at creativity and flexibility and insight, whereas machines are really good at precision and giving the exact same result every single time and doing it at scale and speed.”
All these AI systems were in put in place over the past decade. Then COVID showed up. So when the genome sequence of the coronavirus was made public in January 2020, Moderna was off to the races pumping out and testing mRNAs that would tell cells how to manufacture the coronavirus’s spike protein so that the body’s immune system would recognize and destroy it. Within 42 days, the company had an mRNA vaccine ready to be tested in humans. It eventually went into hundreds of millions of arms.
Biotech harnesses the power of AI
Moderna is now turning its attention to other ailments that could be solved with mRNA, and the company is continuing to lean on AI. Scientists are still coming to Johnson with automation requests, which he happily obliges.
“We don’t think about AI in the context of replacing humans,” he told the Me, Myself, and AI podcast. “We always think about it in terms of this human-machine collaboration, because they’re good at different things. Humans are really good at creativity and flexibility and insight, whereas machines are really good at precision and giving the exact same result every single time and doing it at scale and speed.”
Moderna, which was founded as a “digital biotech,” is undoubtedly the poster child of AI use in mRNA vaccines. Moderna recently signed a deal with IBM to use the company’s quantum computers as well as its proprietary generative AI, MoLFormer.
Moderna’s success is encouraging other companies to follow its example. In January, BioNTech, which partnered with Pfizer to make the other highly effective mRNA vaccine against COVID, acquired the company InstaDeep for $440 million to implement its machine learning AI across its mRNA medicine platform. And in May, Chinese technology giant Baidu announced an AI tool that designs super-optimized mRNA sequences in minutes. A nearly countless number of mRNA molecules can code for the same protein, but some are more stable and result in the production of more proteins. Baidu’s AI, called “LinearDesign,” finds these mRNAs. The company licensed the tool to French pharmaceutical company Sanofi.
Writing in the journal Accounts of Chemical Research in late 2021, Sebastian M. Castillo-Hair and Georg Seelig, computer engineers who focus on synthetic biology at the University of Washington, forecast that AI machine learning models will further accelerate the biotechnology research process, putting mRNA medicine into overdrive to the benefit of all.
This article originally appeared on Big Think, home of the brightest minds and biggest ideas of all time.