Friday, June 06, 2025

Global Virus Network issues scientific guidance on new COVID-19 variant NB.1.8.1 and vaccine protection



Scientific collaboration, accurate public communication, and continued investment in prevention tools are critical in navigating the evolving COVID-19 landscape



Global Virus Network





The Global Virus Network (GVN) is closely monitoring the emergence of a newly identified SARS-CoV-2 variant, NB.1.8.1, a sublineage of the Omicron family.  This variant was first identified in January 2025 and has rapidly spread across Asia and into other regions, including parts of the United States. The World Health Organization (WHO) has designated NB.1.8.1 as a Variant Under Monitoring due to its increasing prevalence and potential public health implications. Based on current evidence, GVN advises vigilance, not alarm, and reinforces the critical role of vaccination in preventing severe disease and death.

Similar to previous Omicron subvariants, NB.1.8.1 contains spike protein mutations associated with increased transmissibility. However, no evidence suggests that NB.1.8.1 causes more severe illness or significantly evades vaccine-induced or natural immunity. Early laboratory and clinical data indicate that updated COVID-19 vaccines, including bivalent and XBB-based boosters, protect against severe outcomes such as hospitalization and death. There is no evidence at this time that NB.1.8.1 causes more severe illness than previous variants.

Breakthrough infections may occur, particularly among individuals with waning immunity or those who are unvaccinated. Nevertheless, vaccines remain highly effective in reducing serious illness and death. Antiviral treatments such as nirmatrelvir/ritonavir (Paxlovid) and remdesivir demonstrate efficacy against a range of Omicron subvariants, including BQ.1, BQ.1.1, and XBB.1.5.

NB.1.8.1 has been linked to significant increases in COVID-19 cases across several countries. According to the WHO, as of May 18, 2025, the NB.1.8.1 variant has been identified in 22 countries, accounting for 10.7% of global SARS-CoV-2 sequences submitted to the Global Initiative on Sharing All Influenza Data (GISAID) during epidemiological week 17 (April 21–27, 2025). This marks a significant increase from 2.5% four weeks prior.

As of June 4, 2025, India reported 4,302 active COVID-19 infections, with nearly 300 new cases recorded within the previous 24 hours. States such as Delhi, Uttar Pradesh, West Bengal, Gujarat, and especially Kerala have experienced a steady rise in cases. During the week of April 27 to May 3, 2025, nearly 6,000 individuals in Taiwan sought medical assistance at hospitals due to COVID-19-related symptoms. This marked a 78% increase from the previous week and represented the fourth consecutive week of rising case numbers. As of early June 2025, in the U.S., more than a dozen cases of the NB.1.8.1 subvariant have been identified in Washington State. The variant was first detected in the U.S. between late March and early April through routine screenings of international travelers at airports in California, Washington State, Virginia, and New York. Subsequent cases have been reported in Ohio, Rhode Island, and Hawaii. In the U.S., there have been about 300 deaths per week from COVID-19 in 2025 through May. Periodic summer surges are anticipated, consistent with seasonal patterns observed in previous years.

GVN Supports the Following COVID-19 Vaccine Recommendations:

  • Adults aged 65 and older, and individuals with underlying conditions, should receive an updated COVID-19 booster tailored to circulating variants.
  • All individuals 6 months and older, including children and adolescents, are encouraged to stay current with vaccinations, especially ahead of the fall and winter respiratory seasons.
  • Children 6 months to 17 years of age should receive an age-appropriate, updated COVID-19 vaccine dose if they have not already done so within the past year, as protection from earlier vaccines may wane over time. Pediatric vaccination helps prevent severe outcomes, including hospitalization and multisystem inflammatory syndrome in children (MIS-C).
  • Pregnant individuals are strongly encouraged to stay current on COVID-19 vaccination. Vaccination during pregnancy reduces the risk of COVID-19 hospitalization in infants by 61% and protects newborns for up to six months after birth—an especially important window given the high rate of emergency department visits for COVID-19 among infants. Studies have consistently shown that infection during pregnancy increases the risk of preterm birth, miscarriage, fetal death, and long-term neurodevelopmental issues. No safety concerns have been identified regarding vaccination in pregnancy or neonatal outcomes.
  • Those not receiving a COVID-19 booster in the past year should consult a healthcare provider about updated vaccine timing and eligibility.
  • Co-administration of COVID-19 and influenza vaccines is recommended when appropriate.
  • Side effects from both COVID-19 and influenza vaccines are rare, and the cost-benefit of vaccination is heavily in favor of vaccination.
  • The principal benefits of vaccination are preventing severe disease, rather than preventing infection itself.

The rapid global spread of NB.1.8.1 underscores the ongoing need for proactive surveillance, timely data sharing, and pandemic preparedness. The appearance of new variants is expected and does not signal a public health emergency. Instead, it is a call to action for continued scientific vigilance and proactive health measures.

GVN reiterates that this is an opportunity to prepare, not a reason to panic. Scientific collaboration, accurate public communication, and continued investment in prevention tools will remain critical in navigating the evolving COVID-19 landscape.

Media Contact:

Nora Samaranayake

nsamaranayake@gvn.org

###

About the Global Virus Network

The Global Virus Network (GVN) is a worldwide coalition comprising 80+ Virology Centers of Excellence and Affiliates across 40+ countries, whose mission is to facilitate pandemic preparedness against viral pathogens and diseases that threaten public health globally. GVN advances knowledge of viruses through (i) data-driven research and solutions, (ii) fostering the next generation of virology leaders, and (iii) enhancing global resources for readiness and response to emerging viral threats. GVN provides the essential expertise required to discover and diagnose viruses that threaten public health, understand how such viruses spread illnesses, and facilitate the development of diagnostics, therapies, and treatments to combat them. GVN coordinates and collaborates with local, national, and international scientific institutions and government agencies to provide real-time virus informatics, surveillance, and response resources and strategies.  GVN's pandemic preparedness mission is achieved by focusing on Education & Training, Qualitative & Quantitative Research, and Global Health Strategies & Solutions. The GVN is a non-profit 501(c)(3) organization. For more information, please visit www.gvn.org

From rubble to rockets: Turning scrap metal into essential equipment



WPI researchers aim to revolutionize on-site additive manufacturing by combining materials science, artificial intelligence, and 3D printing



Worcester Polytechnic Institute

Scrap to solutions thanks to novel advanced manufacturing innovation 

image: 

WPI student researchers in advanced manufacturing lab

view more 

Credit: Worcester Polytechnic Institute




Worcester Polytechnic Institute (WPI) has been awarded $6.3 million for a groundbreaking initiative that could transform additive manufacturing by enabling the rapid production of high-quality components from scrap metal. This innovative approach to additive manufacturing, funded by the Defense Advanced Research Projects Agency (DARPA), aims to ensure that essential components can be produced even in the most resource-limited environments, including where access to traditional supply chains is limited, such as battlefields or remote search-and-rescue locations.

The initiative, called “Rubble to Rockets,” applies a machine-learning approach to identify materials—like scrap metal and mixed alloys—and understand how they react and bond together before being melted, mixed, and 3D-printed to form new parts that are strong and reliable. Traditional 3D-printing methods require carefully controlled materials and repeated testing and adjusting, something that’s not always possible in real-world settings.

“This work is crucial as it allows us to build high-quality components from unknown source materials with new confidence,” said Associate Professor Danielle CoteHarold L. Jurist ’61 and Heather E. Jurist Dean’s Professor of Mechanical and Materials Engineering, and the lead researcher on the project. “Our goal is not just to build a single solution but to create a framework that guides future innovations. By improving our predictions and understanding of material performance, we can pave the way for new advancements in additive manufacturing from diverse and unpredictable sources.”

The team will use artificial intelligence (AI) technology developed by a WPI PhD student to predict material behavior at various compositions, optimizing and automating the characterization processes. By streamlining the procedure, the product can be manufactured at a rapid pace but not at the expense of durability and strength.

Researchers will design a proof-of-concept sounding rocket to test the structural integrity of mixed metals and measure performance and reliability.

Wider applications and future impact

Beyond defense applications, this work has broad applications across industries such as energy and transportation. The approach could be deployed in submarines, aircraft carriers, disaster relief zones, and remote locations where traditional supply chains are difficult to maintain. By addressing key risks, including material performance, equipment size, and predictive model accuracy, the innovation is paving the way for more resilient and sustainable manufacturing solutions that support both emergency response and long-term infrastructure needs.

As part of the project, the WPI team will work with subcontractors, including two WPI-alumni led companies as well as Siemens and two small businesses out of California: Nightshade Corporation will convert scrap into powder and Citrine Informatics will focus on AI and machine learning. This underscores the project’s crucial role in workforce development. By integrating advanced material informatics, AI-driven decision-making, and innovative additive manufacturing technologies, the initiative is helping to train the next generation of engineers and scientists, ensuring a skilled workforce that can sustain and expand these innovations into the future.

“The future of manufacturing is at the intersection of so many disciplines, including software, robotics, AI, materials science, and mechanical engineering,” said Aaron Birt ’17, CEO of Solvus Global, a subcontractor on the grant. “This is one of those rare opportunities that demonstrates the breadth of technical expertise required to deliver a solution for manufacturing at the point of need anywhere on Earth, the moon, or beyond. That proposition shows the genuine ability of this team to imagine and deliver solutions of tomorrow.”

“VALIS was founded on the mission of delivering enabling technology to maximize the recovery of valuable materials for future generations,” said Emily Molstad ’19, MS ’19, co-founder and CEO of VALIS Insights, a grant subcontractor. “We see the recycling industry becoming increasingly vertically integrated as raw material producers and manufacturers aim to secure a reliable supply of scrap material and increase recycled content to drive down costs. The technology being developed through this program will unlock new levels of upcycling capabilities not only in remote, resource-restricted locations, but across the recycling value chain with the potential to strengthen domestic manufacturing capabilities.”

At WPI, in addition to Cote, assistant research professor Kyle Tsaknopoulos will work on the project with several PhD, master’s, and undergraduate students. The project is expected to be completed in November 2027.


New 3D printing method enables complex designs and creates less waste



MIT engineers developed a technique for making intricate structures with supports that can be dissolved and reused instead of thrown away.




Massachusetts Institute of Technology

Dissolvable supports 

image: 

The researchers applied the new method to print complex structures, including functional gear trains, intricate lattices, and a dental implant. 

 

view more 

Credit: Courtesy of Nicholas Diaco, Carl Thrasher, Max Hughes, Kevin Zhou, Michael Durso, Saechow Yap, Robert Macfarlane, and A. John Hart





Hearing aids, mouth guards, dental implants, and other highly tailored structures are often products of 3D printing. These structures are typically made via vat photopolymerization — a form of 3D printing that uses patterns of light to shape and solidify a resin, one layer at a time. 

The process also involves printing structural supports from the same material to hold the product in place as it’s printed. Once a product is fully formed, the supports are removed manually and typically thrown out as unusable waste. 

MIT engineers have found a way to bypass this last finishing step, in a way that could significantly speed up the 3D-printing process. They developed a resin that turns into two different kinds of solids, depending on the type of light that shines on it: Ultraviolet light cures the resin into an highly resilient solid, while visible light turns the same resin into a solid that is easily dissolvable in certain solvents.

The team exposed the new resin simultaneously to patterns of UV light to form a sturdy structure, as well as patterns of visible light to form the structure’s supports. Instead of having to carefully break away the supports, they simply dipped the printed material into solution that dissolved the supports away, revealing the sturdy, UV-printed part. 

The supports can dissolve in a variety of food-safe solutions, including baby oil. Interestingly, the supports could even dissolve in the main liquid ingredient of the original resin, like a cube of ice in water. This means that the material used to print structural supports could be continuously recycled: Once a printed structure’s supporting material dissolves, that mixture can be blended directly back into fresh resin and used to print the next set of parts — along with their dissolvable supports.

The researchers applied the new method to print complex structures, including functional gear trains and intricate lattices. 

“You can now print — in a single print — multipart, functional assemblies with moving or interlocking parts, and you can basically wash away the supports,” says graduate student Nicholas Diaco. “Instead of throwing out this material, you can recycle it on site and generate a lot less waste. That’s the ultimate hope.”

He and his colleagues report the details of the new method in a paper appearing in Advanced Materials Technologies. The MIT study’s co-authors include Carl Thrasher, Max Hughes, Kevin Zhou, Michael Durso, Saechow Yap, Professor Robert Macfarlane, and Professor A. John Hart, head of MIT’s Department of Mechanical Engineering. 

Waste removal

Conventional vat photopolymerization (VP) begins with a 3D computer model of a structure to be printed — for instance, of two interlocking gears. Along with the gears themselves, the model includes small support structures around, under, and between the gears to keep every feature in place as the part is printed. This computer model is then sliced into many digital layers that are sent to a VP printer for printing. 

A standard VP printer includes a small vat of liquid resin that sits over a light source. Each slice of the model is translated into a matching pattern of light that is projected onto the liquid resin, which solidifies into the same pattern. Layer by layer, a solid, light-printed version of the model’s gears and supports forms on the build platform. When printing is finished, the platform lifts the completed part above the resin bath. Once excess resin is washed away, a person can go in by hand to remove the intermediary supports, usually by clipping and filing, and the support material is ultimately thrown away. 

“For the most part, these supports end up generating a lot of waste,” Diaco says. 

Print and dip

Diaco and the team looked for a way to simplify and speed up the removal of printed supports and, ideally, recycle them in the process. They came up with a general concept for a resin that, depending on the type of light that it is exposed to, can take on one of two phases: a resilient phase that would form the desired 3D structure and a secondary phase that would function as a supporting material but also be easily dissolved away.

After working out some chemistry, the team found they could make such a two-phase resin by mixing two commercially available monomers, the chemical building blocks that are found in many types of plastic. When ultraviolet light shines on the mixture, the monomers link together into a tightly interconnected network, forming a tough solid that resists dissolution. When the same mixture is exposed to visible light, the same monomers still cure, but at the molecular scale the resulting monomer strands remain separate from one another. This solid can quickly dissolve when placed in certain solutions. 

In benchtop tests with small vials of the new resin, the researchers found the material did transform into both the insoluble and soluble forms in response to ultraviolet and visible light, respectively. But when they moved to a 3D printer with LEDs dimmer than the benchtop setup, the UV-cured material fell apart in solution. The weaker light only partially linked the monomer strands, leaving them too loosely tangled to hold the structure together.

Diaco and his colleagues found that adding a small amount of a third “bridging” monomer could link the two original monomers together under UV light, knitting them into a much sturdier framework. This fix enabled the researchers to simultaneously print resilient 3D structures and dissolvable supports using timed pulses of UV and visible light in one run. 

The team applied the new method to print a variety of intricate structures, including interlocking gears, intricate lattices, a ball within a square frame, and, for fun, a small dinosaur encased in an egg-shaped support that dissolved away when dipped in solution. 

“With all these structures, you need a lattice of supports inside and out while printing,” Diaco says. “Removing those supports normally requires careful, manual removal. This shows we can print multipart assemblies with a lot of moving parts, and detailed, personalized products like hearing aids and dental implants, in a way that’s fast and sustainable.”

“We’ll continue studying the limits of this process, and we want to develop additional resins with this wavelength-selective behavior and mechanical properties necessary for durable products,” says professor of mechanical engineering John Hart. “Along with automated part handling and closed-loop reuse of the dissolved resin, this is an exciting path to resource-efficient and cost-effective polymer 3D printing at scale.” 

This research was supported, in part, by the Center for Perceptual and Interactive Intelligence (InnoHK) in Hong Kong, the U.S. National Science Foundation, the U.S. Office of Naval Research, and the U.S. Army Research Office.

###

Written by Jennifer Chu, MIT News

Paper: “Dual-Wavelength Vat Photopolymerization with Dissolvable, Recyclable Support Structures”

https://advanced.onlinelibrary.wiley.com/doi/10.1002/admt.202500650



 

Museum specimens offer new lens on pollution history



UTA study uses preserved plants and animals to trace 200 years of pollution exposure and its effects on human health




University of Texas at Arlington

Historical bird samples from a museum collection. 

image: 

A new study highlights a surprising lens for tracking pollution trends over centuries: preserved plants and animals housed at natural history museums around the world. According to Shane DuBay, a researcher at The University of Texas at Arlington, these specimens contain valuable environmental data that can help scientists reconstruct pollution trends spanning more than 200 years.

“We often lack the historical pollution data needed to understand the links between environmental contamination and long-term health effects, such as cancer, asthma, cognitive disorders and premature birth,” said Dr. DuBay, lead author of the study in the Proceedings of the National Academy of Sciences and an assistant professor of biology at UT Arlington. “By leveraging museum specimens, we can reconstruct environmental conditions from over a century ago and assess how pollution has impacted different communities.”

view more 

Credit: UTA. Photo Carl Furdner and Shane DuBay.





A new study highlights a surprising lens for tracking pollution trends over centuries: preserved plants and animals housed at natural history museums around the world. According to Shane DuBay, a researcher at The University of Texas at Arlington, these specimens contain valuable environmental data that can help scientists reconstruct pollution trends spanning more than 200 years.

“We often lack the historical pollution data needed to understand the links between environmental contamination and long-term health effects, such as cancer, asthma, cognitive disorders and premature birth,” said Dr. DuBay, lead author of the study in the Proceedings of the National Academy of Sciences and an assistant professor of biology at UT Arlington. “By leveraging museum specimens, we can reconstruct environmental conditions from over a century ago and assess how pollution has impacted different communities.”

The study suggests that museum collections serve as environmental archives, preserving traces of pollutants from the time and place where the organisms lived. By examining bird feathers, fish tissues and other biological materials, researchers can detect metals, airborne particulates and other pollutants from long before formal environmental monitoring systems existed.

Related: Birds breathe in dangerous plastics—and so do we

One striking example from the study compares two field sparrow specimens collected 90 years apart, 1906 and 1996, in the U.S. Manufacturing Belt—also known as the Rust Belt—a region with historically heavy industrial activity. The 1906 specimen was coated in black carbon particulate from coal burning, while the 1996 sparrow showed no such deposits. This visible difference shows how pollution levels can shift over time.

In addition to tracking pollution trends, historical contamination data may also contribute to better understanding the long-term environmental effects on human health. By comparing pollutant levels found in preserved specimens to medical and demographic records, scientists can gain insights into exposure risks across different time periods and locations.

“We’ve always had gaps in historical pollution data,” said DuBay, whose coauthors include researchers from the University of Michigan, University of Chicago, University of Wisconsin–Stevens Point and Yale University. “These specimens offer a new way to fill those gaps and better understand how pollutants persist in the environment.”

While these specimens open new avenues for environmental research, challenges remain. Natural history specimens were often collected for various purposes, which means they don’t always provide consistent geographic coverage. Additionally, measuring pollution in these specimens can require advanced techniques, some of which may be destructive to the samples.

Related: UTA biologist wins national fellowship to study historic pollution

Despite these hurdles, the authors emphasize that museum collections hold untapped potential for environmental studies. Expanding research efforts and fostering interdisciplinary collaborations could yield valuable insights into pollution’s historical footprint—and its long-term effects on ecosystems and human health.

“This study underscores the importance of natural history collections—not just for understanding biodiversity, but for examining environmental changes over time,” added Dubay. “By studying these specimens, we can improve our understanding of pollution trends and their broader impacts.”

About The University of Texas at Arlington (UTA)

Celebrating its 130th anniversary in 2025, The University of Texas at Arlington is a growing public research university in the heart of the thriving Dallas-Fort Worth metroplex. With a student body of over 41,000, UTA is the second-largest institution in the University of Texas System, offering more than 180 undergraduate and graduate degree programs. Recognized as a Carnegie R-1 university, UTA stands among the nation’s top 5% of institutions for research activity. UTA and its 280,000 alumni generate an annual economic impact of $28.8 billion for the state. The University has received the Innovation and Economic Prosperity designation from the Association of Public and Land Grant Universities and has earned recognition for its focus on student access and success, considered key drivers to economic growth and social progress for North Texas and beyond.

Productivity response to salary transparency suggests workers care more about wage fairness than wage equality





Strategic Management Society





In a study of nearly 20,000 employees at public universities, researchers have found that workers are more concerned about whether their compensation is fair based on the work they’re doing, rather than simply whether they earn more or less than their peers.

The findings, published in the Strategic Management Society’s Strategic Management Journal, diminish some companies’ concerns that going public with salary information could lead to a decline in aggregate productivity. Instead, the authors discovered that small shifts in work output are highly individualized, and they may reflect workers’ responses to how closely they feel their efforts align with the pay they receive.

“Our results suggest that individuals primarily responded to wage inequity rather than inequality,” said study coauthor Tomasz Obloj, PhD, an associate professor and Weimer Faculty Fellow at Indiana University’s Kelley School of Business. “By inequity, we mean unfairness in how pay reflects performance, not just differences in pay levels.”

The investigators examined the productivity of faculty at 116 institutions across eight U.S. states, for which salary information was made public via online news articles, think tanks, and state agency websites. They measured how work output changed once salary information went public.

They found that workers who learned they were ‘underpaid’ in comparison with their peers tended to respond with a slight decrease in output. Meanwhile, ‘overpaid’ workers appeared to start working harder, increasing their productivity by a rate of 5 to 13 percent.

“Employees who found they were paid more than their performance warranted increased their productivity, likely to justify their elevated compensation,” observed lead author Cédric Gutierrez, PhD, an assistant professor in the Department of Management and Technology at Bocconi University in Milan, Italy.

Studying workers in academia allowed the authors to measure publicly available performance data in the form of academic achievements. They generated a productivity index by aggregating the individuals’ published academic articles, academic awards, and published books or book chapters.

While they couldn’t capture metrics such as teaching performance or institutional service, the data they collected represented the output that research-focused institutions are likely to rely on when they evaluate productivity for tenure-track faculty, Dr. Obloj explained.

The study is one of the first to investigate the effects of pay transparency in the field, rather than in an experimental setting. The authors said they hope that transparency practices will not only continue to illuminate inequities, but that it will also serve as a catalyst for positive changes that will in turn generate better productivity.

“An initial productivity response may reflect what each employee discovers about how they are treated,” Dr. Gutierrez said. “But if, in response to the transparency, the pay structure changes, those initial productivity responses may dissipate as inequities are addressed.”

 

About the Strategic Management Society

The Strategic Management Society (SMS) is the leading global member organization fostering and supporting rigorous and practice-engaged strategic management research. SMS enjoys the support of 3,000 members, representing more than 1,100 institutions and companies in more than 70 countries. SMS publishes three leading academic journals in partnership with Wiley: Strategic Management JournalStrategic Entrepreneurship Journal, and Global Strategy Journal. These journals publish top-quality work applicable to researchers and practitioners with complementary access for all SMS Members. The SMS Explorer offers the latest insights and takeaways from the SMS Journals for business practitioners, consultants, and academics.

Click here to subscribe to the monthly SMS Explorer newsletter.

Click here to learn more about the programs and opportunities SMS has to offer.