Monday, August 11, 2025

Global Virus Network reaffirms support for mRNA vaccines and collaborative vaccine research


Scientists throughout the world must commit to advancing the development of mRNA vaccine technology and reassure the public of its safety



Global Virus Network






Tampa, FL, USA – The Global Virus Network (GVN), a coalition of leading human and animal virologists from 80+ Centers of Excellence and Affiliates in more than 40 countries dedicated to advancing pandemic preparedness, is unequivocally committed to the continued development and deployment of mRNA vaccines and the global scientific collaboration that makes such innovation possible.

Vaccination remains one of public health’s greatest achievements, preventing an estimated 4.4 million deaths globally each year. Building on this foundation, mRNA vaccine platforms have emerged as one of the most significant biomedical innovations of the 21st century, fundamentally reshaping our ability to respond rapidly and effectively to emerging viral threats. The real-world impact of mRNA vaccines has been striking. Between 2020 and 2024, COVID-19 vaccines are estimated to have prevented approximately 7.5 million deaths globally. In the United States alone, over 298 million mRNA vaccine doses were administered within the first six months of rollout, with fewer than 1% of recipients experiencing significant adverse reactions or complications. Furthermore, clinical data showed that between March 2021 and January 2022, mRNA vaccines reduced the death rate by about 90%, and were 94% effective against severe disease during the Omicron wave.

Unlike traditional vaccines, which use weakened or inactivated viruses or parts of the pathogen to stimulate immunity, mRNA vaccines deliver synthetic genetic instructions that teach cells to produce a harmless viral protein. This approach primes the immune system without exposing individuals to the actual pathogen, offering a safe and adaptable platform with broad potential. Although propelled into the global spotlight by COVID-19, mRNA technology has been under development for decades, with early applications targeting rabies, influenza, and Zika, and more recently, showing promise in cancer immunotherapy.

"mRNA vaccine technology has fundamentally changed our ability to respond quickly and precisely to emerging viral threats," said Johan NeytsPhD, Director of the GVN Center of Excellence at KU Leuven in Belgium, and a global leader in antiviral drug and vaccine development. "Various members of the GVN are working across continents to accelerate innovation in mRNA-based vaccines, not only for coronaviruses but also for dengue, Zika, Lassa fever, and other high-consequence pathogens."

The GVN emphasizes that scientific transparency, public health engagement, and a global commitment to research must remain at the heart of mRNA vaccine deployment strategies. "Global acceptance of vaccines, especially new platforms like mRNA, depends not only on scientific rigor but also on building and sustaining trust within communities," said Heidi Larson, PhD, Founding Director of the Vaccine Confidence Project and an internationally recognized expert in vaccine confidence and risk communication. " The GVN serves a critical function in this effort by convening trusted scientific voices around the world and advancing transparent, culturally informed engagement that helps bridge the gap between innovation and public confidence."

Around the world, governments and research institutions are advancing mRNA development and infrastructure as part of their pandemic preparedness and public health strategies. From South Africa to South KoreaBrazil to Belgium, GVN Centers are playing pivotal roles in these efforts.

“South Africa is leading a transformative moment in global health by building sustainable mRNA vaccine research and manufacturing ecosystems,” said Quarraisha Abdool KarimPhD, Co-Director of the GVN Center of Excellence at CAPRISA in South Africa and an internationally esteemed epidemiologist advancing health equity and scientific capacity across Africa. “By harnessing mRNA innovation locally, we’re not only responding to today’s needs but also empowering future generations of African scientists.”

The GVN stands committed to advocating for a globally coordinated approach to the development and deployment of mRNA vaccines that includes:

  • Expanding mRNA research and manufacturing capacity in low- and middle-income countries to close gaps in access and build regional resilience.
  • Supporting next-generation mRNA innovation, including thermostable and self-amplifying formulations, to improve global distribution and longevity.
  • Combating vaccine misinformation through collaborative initiatives with educators, journalists, and community leaders to ensure scientifically accurate, culturally sensitive messaging.

As a science-driven organization, the GVN is dedicated to advancing pandemic preparedness by fostering the exchange of knowledge, building global training capacity, accelerating translational research, and supporting effective and equitable responses to viral threats. mRNA vaccines are not just a product of biomedical ingenuity; they are a testament to what global collaboration can achieve when rooted in evidence and transparency.

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About the Global Virus Network (GVN)
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.

Media Contact:
Nora Samaranayake
nsamaranayake@gvn.org

 

Unpacking chaos to protect your morning coffee



U-M researchers untangle the ecological dynamics of ants in Puerto Rico




University of Michigan





Images 

 

To help manage agricultural practices with fewer or no pesticides, University of Michigan researchers say they need to understand how ecological systems work on agricultural lands.

 

Now, U-M researchers John Vandermeer and Ivette Perfecto have used two ecological theories to describe a tangle of interactions between three ant species and a recently introduced fly that preys on one of the ant species. Their work on a coffee farm in Puerto Rico shows that the interaction between the ants and the predator fly creates chaotic patterns—chaos in the classical sense, in that natural populations are subjected to fluctuations depending on the interactions of organisms within a system. 

 

These chaotic patterns mean that any one of the four insect species could be dominant at any point in time. Understanding which ants may be dominant over time may help farmers use the ants to manage pests on their farms. Their study, supported by the National Science Foundation, is published in the Proceedings of the National Academy of Sciences.

 

"Two of the three ant species we studied are really important agents of biological control of two of the important pests in coffee," said Vandermeer, U-M professor of ecology and evolutionary biology. "We would like, or a farmer would like, to be able to predict when the ants are going to be there, and when they're not going to be there. And it turns out that that kind of prediction is going to be pretty difficult."

 

For three decades, Vandermeer and Perfecto, a professor at the U-M School for Environment and Sustainability, have been studying ant interactions in the coffee farm's agricultural setting. Their goal is to help transform how agriculture is done—but to do so, we need to first understand the ecology of agricultural systems, they say.

 

"We believe that the current international agricultural system with its use of pesticides and chemicals is not contributing to the welfare of anybody, especially the farmers, and is actually contributing quite a bit to global climate change," Vandermeer said. "We take the position that in order to incorporate the rules of ecology into the development of new forms of agriculture, we need to understand what those rules are and how those rules work."

 

In the tropics, ants are dominant, Vandermeer says, and often involved in agriculture as agents of controlling pests. But using an ant species to control pests can be complicated: The dominance of the ant being used as a biological control depends on what other species of ants—as well as other types of insects—there are in the system. 

 

In this system, Vandermeer and Perfecto examined two types of ecological behavior: intransitive loop cyclic behavior and predator-mediated coexistence. Intransitive loop cyclic behavior means that if there's a group of three ant species, Ant A might be dominant over Ant B, Ant B might dominate Ant C, but Ant C could dominate Ant A. 

 

When a predator is thrown into the mix, these dynamics become even more complicated. Among the three species of ants that Vandermeer and Perfecto study, one species is dominant. But the recently introduced fly preys upon the dominant ant. This predator-prey relationship not only affects the dominant ant, it has downstream effects on the other two ant species, allowing any of the four species to become the dominant species at different points of time. This is an example of predator-mediated coexistence. 

 

The waxing and waning of the predator fly and its ant target, as well as the change of dominance in the ant species, are called oscillations. By overlapping and modeling these two oscillating ecological principles, the researchers could examine how the principles introduce chaos into the system. 

 

The results are ... chaotic. But by plotting both of these oscillating behaviors, the researchers were able to see that at certain times, the whole system looked like a predator-prey cycle, and at other times, the system looked like an intransitive loop oscillation.

 

This could mean—in theory—the researchers could get a window into when each insect species was going to be the dominant species.

 

"The good news is that the chaotic patterns of the insects are really very interesting from an inherent intellectual sense. The bad news is that it's not really as simple as it might seem to base agricultural practices on ecological principles because the ecological principles themselves are way more complicated than simply finding a poison that kills the pests," Vandermeer said.  

 

"What we're uncovering, we think, over the past 30 years or so are some of those complications that come out if you're serious about putting ecology into the fundamental operations of the agricultural system."


Study: Keystone predator and keystone intransitivity and the rescue of a completely subdominant species. DOI: 10.1073/pnas.2421005122

 SPACE/COSMOS

Meet IDEA: An AI assistant to help geoscientists explore Earth and beyond






University of Hawaii at Manoa
Sea level gauge 

image: 

One of the 94 sea level gauges maintained by the UH Sea Level Center is stationed in Chuuk, Micronesia.

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Credit: UH Sea Level Center





A new artificial intelligence tool developed by researchers at the University of Hawai‘i (UH) at Mānoa is making it easier for scientists to explore complex geoscience data—from tracking sea levels on Earth to analyzing atmospheric conditions on Mars. Called the Intelligent Data Exploring Assistant (IDEA), the software framework combines the power of large language models, like those used in ChatGPT, with scientific data, tailored instructions, and computing resources. By simply providing questions in everyday language, researchers can ask IDEA to retrieve data, run analyses, generate plots, and even review its own results—opening up new possibilities for research, education, and scientific discovery. Their work was published recently in the Journal of Geophysical Research: Machine Learning and Computation.

“We built a prototype assistant that lets scientists ask plain-language questions and get back working code, clear explanations, and even publication-ready figures—in minutes,” said Matthew Widlansky, lead author of the study and associate director of the UH Sea Level Center, which is part of the Cooperative Institute for Marine and Atmospheric Research in the School of Ocean and Earth Science and Technology. “Our goal was to lower the barrier between geophysical data and the people trying to understand it."

Widlansky and Nemanja Komar, co-author on the study and the software engineer behind the project, designed the Station Explorer Assistant—or SEA, as it’s called at the UH Sea Level Center—as a prototype built on the broader IDEA framework. SEA demonstrates how the framework can be applied to global sea level observations, helping researchers and students explore coastal change through natural language interactions.

“With the Station Explorer Assistant, users don’t need to write a single line of code to analyze tide gauge data, track sea level rise, or assess flooding occurrence,” said Widlansky.

“An exciting part of this work is how easily the IDEA framework can be adapted to explore new datasets,” added Komar. “We even shifted from sea level records to dust storms on Mars—just by changing the instructions and data source.”

Still, the researchers caution that AI-generated analyses aren’t foolproof. “SEA and other IDEA-based applications can make mistakes, like miscalculating a trend,” Widlansky noted. “That’s why human oversight remains essential—we’re building tools to assist scientists, not replace them.”

Creating a tide gauge data assistant

To build the SEA tool, Widlansky and Komar connected a large language model service from OpenAI, similar to what powers ChatGPT, with access to read from the UH Sea Level Center’s data archive. They also provided the model with domain-specific instructions: essentially a virtual user manual for analyzing tide gauge data. A secure computing environment at UH then runs any code the model generates.

This setup allows the assistant to analyze coastal water level observations, assess sea level trends, and even describe results—without the user writing computer code.

“By incorporating tide gauge measurements with an interactive, expert AI assistant, we give scientists and students a new way to explore how rising seas and high‑tide flooding affect the world’s coastlines—no specialized software or coding ability required,” continued Widlansky. 

The work illustrates UH’s role in translating advanced research into practical tools for island resilience and STEM training in Hawai‘i.

Expanding applications for IDEA

While SEA focuses on sea level data, the underlying IDEA framework is designed to work across a wide range of geoscience domains. In one example from the study, the researchers applied IDEA to atmospheric data from Mars—an area they had never worked with before—and were surprised by how easily the assistant adapted to the new dataset with just a change in instructions and data source.

This flexibility is central to IDEA’s design. As an open-source, general-purpose framework, it can be customized for different research problems, from ocean forecasting to land use change, or even planetary science.

Although still a prototype, SEA is available online for scientists or university students to try out and test. Developers are encouraged to explore the IDEA framework on GitHub and experiment with adapting it to their own data or using it with other large language model services. The team welcomes feedback and collaboration to help improve IDEA and expand its scientific applications. Users of SEA and IDEA can provide feedback by emailing idea-dev-grp@hawaii.edu.

Looking ahead, the researchers plan to expand IDEA’s capabilities and user base. Future improvements include automated checks to reduce plotting errors, support for additional data sources, and a new feature that will help users build their own assistants for other geoscience challenges. As AI tools like SEA and IDEA continue to evolve, Widlansky and Komar hope they will serve as accelerators of discovery and as gateways toward making scientific exploration more accessible to students, educators, and researchers in Hawai‘i and beyond.


This artist's concept illustrates a Martian dust storm, which might also crackle with electricity.

Credit

NASA