Influencers promoting ‘overwhelmingly’ misleading information about medical tests on social media

University of Sydney

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Influencers are promoting “overwhelmingly” misleading information about medical tests on Instagram and TikTok, according to a global University of Sydney-led study published today in JAMA Network Open. 

Researchers analysed almost 1000 posts about five controversial medical screening tests that had been promoted by social media influencers to almost 200 million followers. They found most posts had no reference to scientific evidence, were promotional, had explicit financial interests and failed to mention potential harms. 

The tests included full-body MRI scans; genetic testing claiming to identify early signs of 50 cancers; blood tests for testosterone levels; the anti-mullerian hormone (AMH) test which surveys a woman’s egg count; and the gut microbiome test. Experts say these tests have limited evidence of benefit in healthy people and could lead to overdiagnosis and overuse.  
 
“The vast majority of these posts were overwhelmingly misleading,” said Dr Brooke Nickel, who led the research from the Faculty of Medicine and Health’s School of Public Health.  

“They are being promoted under the guise of early screening, as a way to take control of your own health. The problem is they are unnecessary for most people and, in some cases, the science backing their efficacy is shaky,” Dr Nickel said.  

The study found 85 percent of the posts did not mention any test downsides or risks. “These tests carry the potential for healthy people to receive unnecessary diagnoses, which could lead to unnecessary medical treatments or impact mental health,” Dr Nickel said.  

“One example is the ‘egg timer’ or AMH test. It is being heavily marketed to women by influencers as a way of measuring fertility, but experts do not consider it to be reliable. There is the concern that a low result discovered outside the context of a specific medical issue may drive some women to unnecessary, costly fertility interventions,” she said. 

“Another example is the testosterone test, often marketed to men using fearmongering tactics to then promote testosterone supplements which claim to enhance masculinity and sexual performance. This is risky as the long-term safety of testosterone replacement therapy on cardiovascular health and mortality is still unknown. 

“One of the underlying themes being used by influencers promoting these tests is that knowledge is power, but most information is cherry picked. When it comes to health, getting the full picture is so important, and half-truths are often lies.” 

Among the 982 posts on Instagram and TikTok: 

• 87 percent mentioned benefits of the tests, yet only 15 percent mentioned potential harms; 

• Only 6 percent mentioned the risk of overdiagnosis or overtreatment; 

• Only 6 percent mentioned scientific evidence, while 34 percent used personal anecdotes to promote the test; 

• 68 percent of influencers and other account holders had financial interests in promoting the test (e.g. partnership, collaboration, sponsorship or selling for own profit in some way). 

Co-researcher Dr Ray Moynihan, an Honorary Assistant Professor at Bond University, said: “These findings suggest social media is an open sewer of medical misinformation.  

“This is a public health crisis that exacerbates overdiagnosis and threatens the sustainability of health systems.”  

A detailed analysis of the results found that posts from medical doctors, posts mentioning scientific evidence, and posts from influencers with no financial interest in the tests, tended to be more balanced overall.  

The research group is currently investigating ways to better regulate this type of misleading medical information on social media. 

“Given that social media platforms like Instagram are moving away from fact-checking their content, the need for stronger regulation to prevent misleading medical information has gained urgency,” said Dr Josh Zadro, senior researcher and co-author from the University of Sydney. 
 
5 common controversial tests in Instagram and TikTok posts  

Test	Benefits and Harms
Full-body MRI scan	Claimed to test for up to 500 conditions, yet no evidence of benefit for healthy people, while real dangers exist of unnecessary diagnoses and overtreatment.
Multi-cancer early detection tests	Claimed to screen for more than 50 cancers, yet clinical trials are still under way. As yet, there is no evidence that benefits of screening healthy populations will outweigh harms of unnecessary cancer diagnoses.
AMH or “egg-timer” test	While beneficial for certain women, this test is falsely promoted to healthy women as a test for fertility, with concerns results can lead to unnecessary, costly fertility treatments.
Gut microbiome test	Test promises “wellness” via early detection of many conditions – from flatulence to depression – without good evidence of benefit, alongside concerns that test results could lead to medical overuse, causing harm and waste.
Testosterone test	No evidence of benefit for testing healthy men, yet danger of overuse of treatments; long-term safety of testosterone therapy, in relation to adverse cardiovascular events and early death, has not yet been established.

Declaration

Brooke Nickel and Emma Grundtvig Gram are current members of the International Scientific Committee of Preventing Overdiagnosis. Brooke Nickel, Tessa Copp and Joshua Zadro are funded through an Australian National Health and Medical Research Council Emerging Leader Research Fellowship (1194108, 2009419, and 1194105).The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication. 

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Journal

JAMA Network Open

DOI

10.1001/jamanetworkopen.2024.61940 

Article Title

Social Media Posts about Medical Tests with Potential for Overdiagnosis

Article Publication Date

26-Feb-2025

Social media posts about medical tests with potential for over diagnosis

AMA Network Open

About The Study:

 In this cross-sectional study of social media posts about 5 popular medical tests, most posts were misleading or failed to mention important harms, including overdiagnosis or overuse. These data demonstrate a need for stronger regulation of misleading medical information on social media.

Corresponding Author: To contact the corresponding author, Brooke Nickel, PhD, email brooke.nickel@sydney.edu.au.

To access the embargoed study: Visit our For The Media website at this link https://media.jamanetwork.com/

(doi:10.1001/jamanetworkopen.2024.61940)

Editor’s Note: Please see the article for additional information, including other authors, author contributions and affiliations, conflict of interest and financial disclosures, and funding and support.

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Embed this link to provide your readers free access to the full-text article This link will be live at the embargo time https://jamanetwork.com/journals/jamanetworkopen/fullarticle/10.1001/jamanetworkopen.2024.61940?guestAccessKey=c0957767-f5eb-4d6d-88a4-15c747418b57&utm_source=for_the_media&utm_medium=referral&utm_campaign=ftm_links&utm_content=tfl&utm_term=022625

About JAMA Network Open: JAMA Network Open is an online-only open access general medical journal from the JAMA Network. On weekdays, the journal publishes peer-reviewed clinical research and commentary in more than 40 medical and health subject areas. Every article is free online from the day of publication. 

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Journal

JAMA Network Open

 

What can theoretical physics teach us about knitting?

Penn physicist Randall Kamien, visiting scholar Lauren Niu, and collaborator Geneviève Dion of Drexel bring unprecedented levels of predictability to the ancient practice of knitting by developing a mathematical model that could be used to create a new c

University of Pennsylvania

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A close-up of a self-folding knitted fabric, demonstrating how specific stitch patterns—knits and purls—encode geometric rules that dictate the material’s three-dimensional shape. Researchers from Penn and Drexel have developed a mathematical model that predicts these folding behaviors, opening new possibilities for programmable textiles in fields ranging from soft robotics to deployable structures.

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Credit: (Image: Courtesy of Lauren Niu)

The practice of purposely looping thread to create intricate knit garments and blankets has existed for millennia. Though its precise origins have been lost to history, artifacts like a pair of wool socks from ancient Egypt suggest it dates back as early as the 3rd to 5th century CE. Yet, for all its long-standing ubiquity, the physics behind knitting remains surprisingly elusive.

“Knitting is one of those weird, seemingly simple but deceptively complex things we take for granted,” says theoretical physicist and visiting scholar at the University of Pennsylvania, Lauren Niu, who recently took up the craft as a means to study how “geometry influences the mechanical properties and behavior of materials.”

Despite centuries of accumulated knowledge, predicting how a particular knit pattern will behave remains difficult—even with modern digital tools and automated knitting machines. “It’s been around for so long, but we don’t really know how it works,” Niu notes. “We rely on intuition and trial and error, but translating that into precise, predictive science is a challenge.”

These experimental knitted structures showcase how stitch patterns can be engineered to create self-folding and shape-morphing textiles. On the left, a variety of stitch motifs demonstrate different programmed curvatures in a scarf-like garment, while the right displays a take on an eerie, mask-like appearance, showcasing how controlled stitch arrangements can create complex three-dimensional forms. (Image: Courtesy of Lauren Niu)

In a paper published in the Proceedings of the National Academy of Science, Niu and her mentors Randall Kamien of Penn’s School of Arts & Sciences and Geneviève Dion of the Center for Functional Fabrics at Drexel University have presented a model that seeks to decode the ancient practice of knitting by ascribing a mathematical language to the stitches in knits and purls.

“The beautiful thing about Lauren’s approach is that it doesn’t just describe what’s happening—it predicts it,” says Kamien. “We’re taking the tools we use to study everything from gravity to soap bubbles and applying them to knitting. And, remarkably, it works.”

Dion, drawing from her experience as a textile researcher and garment designer, views this work as a crucial convergence of scientific theory and practical design applications. “Right now, fabric design relies on experience, experimentation, and intuition,” she says. “If we can apply predictive models to textiles, we open the door to fabrics with precise, engineered properties—whether it’s self-folding medical materials, reconfigurable structures for soft robotics, or garments that adapt to the body in new ways.”

Decoding knitting, one stitch at a time

To build their model, Niu borrowed mathematical techniques from an unexpected source: general relativity, the theory used to describe the warping of space and time. While relativity explains how gravity bends space-time, the researchers applied similar geometric principles to explain how the looping paths of yarn create curvature in knitted fabrics.

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“It started with the simple observation that knit fabrics curl in specific ways,” Niu says. “Think of when you cut the sleeves off a T-shirt, and it curls up; that usually means it’s made with only knit stitches. Purls just curl in the other direction.”

However, when knits and purls are combined, “that’s when the magic happens,” Dion says. “You get these incredible self-folding structures that can be soft and flexible but also structured and resilient.”

Niu explains that knitting, at its core, is a method of transforming a one-dimensional strand of yarn into a structured, flexible two-dimensional sheet, which can then fold itself into complex three-dimensional shapes. The researchers realized that this transformation could be described mathematically using the same principles that govern how surfaces curve in space.

Instead of seeing a knitted fabric as just a collection of interlocking loops, the team treated it as a continuous surface with an intrinsic curvature determined by the arrangement of stitches. By applying the formalism used to describe how materials bend and stretch—known as elasticity theory—they built an energetic model that simulates the forces acting on the loops of yarn and predicts how a piece of fabric will deform in space.

“The key insight was recognizing that knitting operates like a programmable material,” Kamien says. “By controlling the stitch pattern—just knits and purls—you can essentially encode instructions for how the fabric will behave once it comes off the needles. That’s why a scarf, a sock, and a sweater can all come from the same kind of yarn but behave so differently.”

Their simulations revealed that the mechanical properties of knitted fabrics often depend more on stitch geometry than on the material itself. Whether the yarn was wool, cotton, or synthetic, the fabric’s tendency to curl, pleat, or expand followed universal geometric rules. This suggests that knitting is governed by fundamental mathematical principles—ones that could be harnessed to design materials with precise, tunable behaviors.

Where knitting meets origami

Niu explains that the work fits into the larger focus of Kamien’s group, particularly its research on kirigami, the art of cutting paper to create complex, foldable structures.

“Kirigami, much like knitting, is an example of how geometry can be used to encode mechanical properties into a material,” she says.

The team’s previous work has explored how strategically placed cuts in a sheet can cause it to morph into specific three-dimensional shapes when stretched. The insights from knitting take this idea further, showing that a material’s internal structure—not just its cuts—can dictate how it folds and unfolds.

“The parallels between knitting and kirigami are striking,” Kamien says. “In kirigami, you add cuts; in knitting, you add loops. But in both cases, you’re programming geometry directly into the material so that it shapes itself without requiring extra inputs like heat, hinges, or reinforcements.”

Dion coined a new term for this approach: knitogami™—a fusion of knitting and origami that captures the idea of self-folding textiles. “We call it knitogami because it extends the principles of origami into a soft, fabric-based medium,” she explains. “Instead of relying on folds and creases in paper, we’re using the inherent elasticity and structure of knitted loops to create dynamic, shape-shifting materials.”

By mapping out these rules, the team developed a framework that could be used to create programmable textiles—fabrics that shape themselves without requiring external forces like heat or manual pleating.

“If we can predict how a piece of fabric will shape itself just by changing the stitch pattern, we can start designing textiles with built-in functionality,” Dion says. “This could lead to garments that adapt to movement, medical textiles that mold to the body, or even large-scale deployable structures that assemble themselves.”

The next steps

Looking ahead, the team hopes to refine their model to incorporate even more complex stitch patterns and fabric behaviors.

“Right now, we’re focused on fundamental stitches—knits and purls—but the real world of knitting is much richer,” Niu says. “The goal is to take this mathematical approach and expand it to include cables, lace, and other advanced techniques that knitters have developed over centuries.”

Randall Kamien is the Vicki and William Abrams Professor in the Natural Sciences in the Department of Physics and Astronomy in the School of Arts & Sciences at the University of Pennsylvania.

Lauren Niu is senior research scientist at the Center for Functional Fabrics at Drexel University and a visiting postdoctoral researcher at Penn Arts & Sciences.

Geneviève Dion is a professor in the Department of Design at the Westphal College of Media Arts and Design and Founding Director of the Center for Functional Fabrics at Drexel University.

This research was supported by the Simons Foundation, the Kaufman Foundation, the Advanced Functional Fabrics of America, Inc. (Transaction HQ00342190016), the Air Force Research Laboratory (FA8650-20-2-5506), and NextFlex, as well as the U.S. Army DEVCOM–Soldier Center.

These experimental knitted structures showcase how stitch patterns can be engineered to create self-folding and shape-morphing textiles. On the left, a variety of stitch motifs demonstrate different programmed curvatures in a scarf-like garment, while the right displays a take on an eerie, mask-like appearance, showcasing how controlled stitch arrangements can create complex three-dimensional forms.

Credit

(Image: Courtesy of Lauren Niu)

A comparative analysis of stitch patterns, simulated fabric deformations, and corresponding physical samples. The left column shows the programmed knit-purl stitch arrangements, the center column presents computational simulations predicting the fabric’s three-dimensional folding behavior, and the right column displays real-world knitted samples demonstrating the accuracy of these predictions. (Image: Courtesy of Lauren Niu)

Credit

Lauren Niu and Randall Kamien

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Journal

Proceedings of the National Academy of Sciences

DOI

10.1073/pnas.2416536122 

Method of Research

Computational simulation/modeling

Subject of Research

Not applicable

Article Title

Geometric modeling of knitted fabrics

Fiber computer allows apparel to run apps and “understand” the wearer

MIT researchers developed a fiber computer and networked several of them into a garment that learns to identify physical activities.

Massachusetts Institute of Technology

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US Army Major Hefner training in Norway wearing Fiber computer base layer. 

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Credit: US Army Cold Regions Research & Engineering Lab

What if the clothes you wear could care for your health?

 

MIT researchers have developed an autonomous programmable computer in the form of an elastic fiber, which could monitor health conditions and physical activity, alerting the wearer to potential health risks in real-time. Clothing containing the fiber computer was comfortable and machine washable, and the fibers were nearly imperceptible to the wearer, the researchers report.

 

Unlike on-body monitoring systems known as “wearables,” which are located at a single point like the chest, wrist, or finger, fabrics and apparel have an advantage of being in contact with large areas of the body close to vital organs. As such, they present a unique opportunity to measure and understand human physiology and health. 

 

The fiber computer contains a series of microdevices, including sensors, a microcontroller, digital memory, bluetooth modules, optical communications, and a battery, making up all the necessary components of a computer in a single elastic fiber. 

 

The researchers added four fiber computers to a top and a pair of leggings, with the fibers running along each limb. In their experiments, each independently programmable fiber computer operated a machine-learning model that was trained to autonomously recognize exercises performed by the wearer, resulting in an average accuracy of about 70 percent. 

 

Surprisingly, once the researchers allowed the individual fiber computers to communicate among themselves, their collective accuracy increased to nearly 95 percent.

 

“Our bodies broadcast gigabytes of data through the skin every second in the form of heat, sound, biochemicals, electrical potentials, and light, all of which carry information about our activities, emotions, and health. Unfortunately, most if not all of it gets absorbed and then lost in the clothes we wear. Wouldn’t it be great if we could teach clothes to capture, analyze, store, and communicate this important information in the form of valuable health and activity insights?” says Yoel Fink, a professor of materials science and engineering at MIT, a principal investigator in the Research Laboratory of Electronics (RLE) and the Institute for Soldier Nanotechnologies (ISN), and senior author of a paper on the research, which appears today in Nature.

The use of the fiber computer to understand health conditions and help prevent injury will soon undergo a significant real-world test as well. U.S. Army and Navy service members will be conducting a month-long winter research mission to the Arctic, covering 1,000 kilometers in average temperatures of -40 degrees Fahrenheit. Dozens of base layer merino mesh shirts with fiber computers will be providing real-time information on the health and activity of the individuals participating on this mission, called Musk Ox II. 

“In the not-too-distant future, fiber computers will allow us to run apps and get valuable health care and safety services from simple everyday apparel. We are excited to see glimpses of this future in the upcoming Arctic mission through our partners in the U.S. Army, Navy, and DARPA. Helping to keep our service members safe in the harshest environments is a honor and privilege,” Fink says.

He is joined on the paper by co-lead authors Nikhil Gupta, a materials science and engineering graduate student; Henry Cheung MEng ’23; and Syamantak Payra ’22, currently a graduate student at Stanford University; John Joannopoulos, the Francis Wright Professor of Physics and director of the Institute for Soldier Nanotechnologies; as well as others at MIT, Rhode Island School of Design, and Brown University.

 

Fiber focus

 

The fiber computer builds on more than a decade of work in the Fibers@MIT lab at the RLE and was supported primarily by ISN. In previous papers, the researchers demonstrated methods for incorporating semiconductor devices, optical diodes, memory units, elastic electrical contacts, and sensors into fibers that could be formed into fabrics and garments.

 

“But we hit a wall in terms of the complexity of the devices we could incorporate into the fiber because of how we were making it. We had to rethink the whole process. At the same time, we wanted to make it elastic and flexible so it would match the properties of traditional fabrics,” says Gupta.

 

One of the challenges that researchers surmounted is the geometric mismatch between a cylindrical fiber and a planar chip. Connecting wires to small, conductive areas, known as pads, on the outside of each planar microdevice proved to be difficult and prone to failure because complex microdevices have many pads, making it increasingly difficult to find room to attach each wire reliably.

 

In this new design, the researchers map the 2D pad alignment of each microdevice to a 3D layout using a flexible circuit board called an interposer, which they wrapped into a cylinder. They call this the “maki” design. Then, they attach four separate wires to the sides of the “maki” roll and connected all the components together.

 

“This advance was crucial for us in terms of being able to incorporate higher functionality computing elements, like the microcontroller and Bluetooth sensor, into the fiber,” says Gupta.

 

This versatile folding technique could be used with a variety of microelectronic devices, enabling them to incorporate additional functionality.

 

In addition, the researchers fabricated the new fiber computer using a type of thermoplastic elastomer that is several times more flexible than the thermoplastics they used previously. This material enabled them to form a machine-washable, elastic fiber that can stretch more than 60 percent without failure.

 

They fabricate the fiber computer using a thermal draw process that the Fibers@MIT group pioneered in the early 2000s. The process involves creating a macroscopic version of the fiber computer, called a preform, that contains each connected microdevice. 

 

This preform is hung in a furnace, melted, and pulled down to form a fiber, which also contains embedded lithium-ion batteries so it can power itself. 

 

“A former group member, Juliette Marion, figured out how to create elastic conductors, so even when you stretch the fiber, the conductors don’t break. We can maintain functionality while stretching it, which is crucial for processes like knitting, but also for clothes in general,” Gupta says.

 

Bring out the vote

 

Once the fiber computer is fabricated, the researchers use a braiding technique to cover the fiber with traditional yarns, such as polyester, merino wool, nylon, and even silk. 

 

In addition to gathering data on the human body using sensors, each fiber computer incorporates LEDs and light sensors that enable multiple fibers in one garment to communicate, creating a textile network that can perform computation 

 

Each fiber computer also includes a Bluetooth communication system to send data wirelessly to a device like a smartphone, which can be read by a user.

 

The researchers leveraged these communication systems to create a textile network by sewing four fiber computers into a garment, one in each sleeve. Each fiber ran an independent neural network that was trained to identify exercises like squats, planks, arm circles, and lunges.

 

“What we found is that the ability of a fiber computer to identify human activity was only about 70 percent accurate when located on a single limb, the arms or legs. However, when we allowed the fibers sitting on all four limbs to ‘vote,’ they collectively reached nearly 95 percent accuracy, demonstrating the importance of residing on multiple body areas and forming a network between autonomous fiber computers that does not need wires and interconnects,” Fink says.

 

Moving forward, the researchers want to use the interposer technique to incorporate additional microdevices. 

 

Arctic insights

 

In February, a multinational team equipped with computing fabrics will travel for 30 days and 1,000 kilometers in the Arctic. The fabrics will help keep the team safe, and set the stage for future physiological “digital twinning” models.

 

“As a leader with more than a decade of Arctic operational experience, one of my main concerns is how to keep my team safe from debilitating cold weather injuries — a primary threat to operators in the extreme cold. Conventional systems just don’t provide me with a complete picture. We will be wearing the base layer computing fabrics on us 24/7 to help us better understand the body’s response to extreme cold and ultimately predict and prevent injury,” says U.S. Army Major Hefner, the commander of Musk Ox II. 

 

Karl Friedl, U.S. Army senior research scientist of performance physiology, noted that the MIT programmable computing fabric technology may become a “gamechanger for everyday lives.”

 

“Imagine near-term fiber computers in fabrics and apparel that sense and respond to the environment and to the physiological status of the individual, increasing comfort and performance, providing real-time health monitoring and providing protection against external threats. Soldiers will be the early adopters and beneficiaries of this new technology, integrated with AI systems using predictive physiological models and mission-relevant tools to enhance survivability in austere environments,” Friedl says.

 

“The convergence of classical fibers and fabrics with computation and machine learning has only begun. We are exploring this exciting future not only through research and field testing, but importantly in an MIT Department of Materials Science and Engineering course ‘Computing Fabrics,’ taught with Professor Anais Missakian from the Rhode Island School of Design,” adds Fink. 

This research was supported, in part, by the U.S. Army Research Office Institute for Soldier Nanotechnology (ISN), the U.S. Defense Threat Reduction Agency, the U.S. National Science Foundation, the Fannie and John Hertz Foundation Fellowship, the Paul and Daisy Soros Foundation Fellowship for New Americans, the Stanford-Knight Hennessy Scholars Program, and the Astronaut Scholarship Foundation.

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Written by Adam Zewe, MIT News

Knotted computer fiber.

Credit

Yoel Fink

Braiding a computer fiber with a combination of metal and textile yarns  

Credit

Hamilton Osoy, IFM

Journal

Nature

DOI

10.1038/s41586-024-08568-6 

Article Title

"A single-fibre computer enables textile networks and distributed inference"

 

Aston University microbiologist calls for public vigilance and urgent action on the danger of raw sewage in UK seas

Aston University

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• Dr Jonathan Cox writes in Microbiology about the pathogens in raw sewage and the “significant” danger to public health when it ends up in the sea
• He contracted a lung infection in 2024, likely from exposure to raw sewage in the sea where he had been swimming
• He urges people to check for sewage reports before heading to the beach and calls for investment to improve infrastructure.

Aston University microbiologist Dr Jonathan Cox has written an article for the journal Microbiology on the dangers posed by raw sewage in the seas around the UK.

Sewage contains lots of microorganisms harmful to human health, causing gastrointestinal, respiratory and skin infections. People can become infected through ingestion, inhalation or contact with contaminated water. Vulnerable groups, including older people, those with a compromised immune system (such as organ transplant patients) and pregnant women are particularly at risk. Sewage pollution can also affect marine life.

The dumping of raw sewage is happening more often around the UK coastline, with some water companies responsible for up to 200 discharges of raw sewage into the sea each year. The risks hit home for Dr Cox when, in spring 2024, he contracted a type of bacterial pneumonia following a swim in the sea that was likely connected to an incident of sewage dumping in the area, recorded by the charity Surfers Against Sewage just hours before he took to the water.

As frightening as this sounds, Dr Cox does not advise staying out of the water, but checking water quality before visiting a beach. Surfers Against Sewage has developed the Safer Seas and Rivers Service (SSRS), online and as an app, which shows where there have been recent sewage discharges.

The government has promised stricter regulations, and advanced sewage treatment technologies are available, but urgent investment is required to protect public health and the UK’s coastal waters.

Dr Cox concludes:

“Whilst we’re waiting for the improved management, innovation and investment that is required to solve the issue and save our seaside, don’t bury your head in the sand regarding water quality. Check before you swim. Afterall, prevention is always better than cure.”

The Microbiology Society, which publishes the journal Microbiology, said:

“As a membership charity and a not-for-profit publisher, the Microbiology Society is proud to publish articles written by our members, like this one, which draw attention to important topics impacting public health and a range of other subjects. These articles demonstrate how microbiologists are involved in addressing challenges that vary from urgent problems demanding immediate solutions, such as new and emerging diseases, through to long-term issues, like antimicrobial drug resistance, food security and environmental sustainability.”

Read the full article, ‘SOS – save our seaside! The microbiological risks to human health of raw sewage in our coastal waters’, in Microbiology.

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Journal

Microbiology

DOI

10.1099/mic.0.001529 

Method of Research

Commentary/editorial

Subject of Research

People

Article Title

SOS – save our seaside! The microbiological risks to human health of raw sewage in our coastal waters

Article Publication Date

27-Feb-2025