New tools could catch disease outbreaks earlier - or predict them
Every year, the villages which lie in the so-called ‘Nipah belt’— which stretches along the western border between Bangladesh and India, brace themselves for the latest outbreak. For since 1998, when Nipah virus—a form of hemorrhagic fever most common in Bangladesh—first spilled over into humans, it has been a grim annual visitor to the people of this region.
With a 70 percent fatality rate, no vaccine, and no known treatments, Nipah virus has been dubbed in the Western world as ‘the worst disease no one has ever heard of.’ Currently, outbreaks tend to be relatively contained because it is not very transmissible. The virus circulates throughout Asia in fruit eating bats, and only tends to be passed on to people who consume contaminated date palm sap, a sweet drink which is harvested across Bangladesh.
But as SARS-CoV-2 has shown the world, this can quickly change.
“Nipah virus is among what virologists call ‘the Big 10,’ along with things like Lassa fever and Crimean Congo hemorrhagic fever,” says Noam Ross, a disease ecologist at New York-based non-profit EcoHealth Alliance. “These are pretty dangerous viruses from a lethality perspective, which don’t currently have the capacity to spread into broader human populations. But that can evolve, and you could very well see a variant emerge that has human-human transmission capability.”
That’s not an overstatement. Surveys suggest that mammals harbour about 40,000 viruses, with roughly a quarter capable of infecting humans. The vast majority never get a chance to do so because we don’t encounter them, but climate change can alter that. Recent studies have found that as animals relocate to new habitats due to shifting environmental conditions, the coming decades will bring around 300,000 first encounters between species which normally don’t interact, especially in tropical Africa and southeast Asia. All these interactions will make it far more likely for hitherto unknown viruses to cross paths with humans.
That’s why for the last 16 years, EcoHealth Alliance has been conducting ongoing viral surveillance projects across Bangladesh. The goal is to understand why Nipah is so much more prevalent in the western part of the country, compared to the east, and keep a watchful eye out for new Nipah strains as well as other dangerous pathogens like Ebola.
"There are a lot of different infectious agents that are sensitive to climate change that don't have these sorts of software tools being developed for them," says Cat Lippi, medical geography researcher at the University of Florida.
Until very recently this kind of work has been hampered by the limitations of viral surveillance technology. The PREDICT project, a $200 million initiative funded by the United States Agency for International Development, which conducted surveillance across the Amazon Basin, Congo Basin and extensive parts of South and Southeast Asia, relied upon so-called nucleic acid assays which enabled scientists to search for the genetic material of viruses in animal samples.
However, the project came under criticism for being highly inefficient. “That approach requires a big sampling effort, because of the rarity of individual infections,” says Ross. “Any particular animal may be infected for a couple of weeks, maybe once or twice in its lifetime. So if you sample thousands and thousands of animals, you'll eventually get one that has an Ebola virus infection right now.”
Ross explains that there is now far more interest in serological sampling—the scientific term for the process of drawing blood for antibody testing. By searching for the presence of antibodies in the blood of humans and animals, scientists have a greater chance of detecting viruses which started circulating recently.
Despite the controversy surrounding EcoHealth Alliance’s involvement in so-called gain of function research—experiments that study whether viruses might mutate into deadlier strains—the organization’s separate efforts to stay one step ahead of pathogen evolution are key to stopping the next pandemic.
“Having really cheap and fast surveillance is really important,” says Ross. “Particularly in a place where there's persistent, low level, moderate infections that potentially have the ability to develop into more epidemic or pandemic situations. It means there’s a pathway that something more dangerous can come through."
Scientists are searching for the presence of antibodies in the blood of humans and animals in hopes to detect viruses that recently started circulating.
EcoHealth Alliance
In Bangladesh, EcoHealth Alliance is attempting to do this using a newer serological technology known as a multiplex Luminex assay, which tests samples against a panel of known antibodies against many different viruses. It collects what Ross describes as a ‘footprint of information,’ which allows scientists to tell whether the sample contains the presence of a known pathogen or something completely different and needs to be investigated further.
By using this technology to sample human and animal populations across the country, they hope to gain an idea of whether there are any novel Nipah virus variants or strains from the same family, as well as other deadly viral families like Ebola.
This is just one of several novel tools being used for viral discovery in surveillance projects around the globe. Multiple research groups are taking PREDICT’s approach of looking for novel viruses in animals in various hotspots. They collect environmental DNA—mucus, faeces or shed skin left behind in soil, sediment or water—which can then be genetically sequenced.
Five years ago, this would have been a painstaking work requiring bringing collected samples back to labs. Today, thanks to the vast amounts of money spent on new technologies during COVID-19, researchers now have portable sequencing tools they can take out into the field.
Christopher Jerde, a researcher at the UC Santa Barbara Marine Science Institute, points to the Oxford Nanopore MinION sequencer as one example. “I tried one of the early versions of it four years ago, and it was miserable,” he says. “But they’ve really improved, and what we’re going to be able to do in the next five to ten years will be amazing. Instead of having to carefully transport samples back to the lab, we're going to have cigar box-shaped sequencers that we take into the field, plug into a laptop, and do the whole sequencing of an organism.”
In the past, viral surveillance has had to be very targeted and focused on known families of viruses, potentially missing new, previously unknown zoonotic pathogens. Jerde says that the rise of portable sequencers will lead to what he describes as “true surveillance.”
“Before, this was just too complex,” he says. “It had to be very focused, for example, looking for SARS-type viruses. Now we’re able to say, ‘Tell us all the viruses that are here?’ And this will give us true surveillance – we’ll be able to see the diversity of all the pathogens which are in these spots and have an understanding of which ones are coming into the population and causing damage.”
But being able to discover more viruses also comes with certain challenges. Some scientists fear that the speed of viral discovery will soon outpace the human capacity to analyze them all and assess the threat that they pose to us.
“I think we're already there,” says Jason Ladner, assistant professor at Northern Arizona University’s Pathogen and Microbiome Institute. “If you look at all the papers on the expanding RNA virus sphere, there are all of these deposited partial or complete viral sequences in groups that we just don't know anything really about yet.” Bats, for example, carry a myriad of viruses, whose ability to infect human cells we understand very poorly.
Cultivating these viruses under laboratory conditions and testing them on organoids— miniature, simplified versions of organs created from stem cells—can help with these assessments, but it is a slow and painstaking work. One hope is that in the future, machine learning could help automate this process. The new SpillOver Viral Risk Ranking platform aims to assess the risk level of a given virus based on 31 different metrics, while other computer models have tried to do the same based on the similarity of a virus’s genomic sequence to known zoonotic threats.
However, Ladner says that these types of comparisons are still overly simplistic. For one thing, scientists are still only aware of a few hundred zoonotic viruses, which is a very limited data sample for accurately assessing a novel pathogen. Instead, he says that there is a need for virologists to develop models which can determine viral compatibility with human cells, based on genomic data.
“One thing which is really useful, but can be challenging to do, is understand the cell surface receptors that a given virus might use,” he says. “Understanding whether a virus is likely to be able to use proteins on the surface of human cells to gain entry can be very informative.”
As the Earth’s climate heats up, scientists also need to better model the so-called vector borne diseases such as dengue, Zika, chikungunya and yellow fever. Transmitted by the Aedes mosquito residing in humid climates, these blights currently disproportionally affect people in low-income nations. But predictions suggest that as the planet warms and the pests find new homes, an estimated one billion people who currently don’t encounter them might be threatened by their bites by 2080. “When it comes to mosquito-borne diseases we have to worry about shifts in suitable habitat,” says Cat Lippi, a medical geography researcher at the University of Florida. “As climate patterns change on these big scales, we expect to see shifts in where people will be at risk for contracting these diseases.”
Public health practitioners and government decision-makers need tools to make climate-informed decisions about the evolving threat of different infectious diseases. Some projects are already underway. An ongoing collaboration between the Catalan Institution for Research and Advanced Studies and researchers in Brazil and Peru is utilizing drones and weather stations to collect data on how mosquitoes change their breeding patterns in response to climate shifts. This information will then be fed into computer algorithms to predict the impact of mosquito-borne illnesses on different regions.
The team at the Catalan Institution for Research and Advanced Studies is using drones and weather stations to collect data on how mosquito breeding patterns change due to climate shifts.
Gabriel Carrasco
Lippi says that similar models are urgently needed to predict how changing climate patterns affect respiratory, foodborne, waterborne and soilborne illnesses. The UK-based Wellcome Trust has allocated significant assets to fund such projects, which should allow scientists to monitor the impact of climate on a much broader range of infections. “There are a lot of different infectious agents that are sensitive to climate change that don't have these sorts of software tools being developed for them,” she says.
COVID-19’s havoc boosted funding for infectious disease research, but as its threats begin to fade from policymakers’ focus, the money may dry up. Meanwhile, scientists warn that another major infectious disease outbreak is inevitable, potentially within the next decade, so combing the planet for pathogens is vital. “Surveillance is ultimately a really boring thing that a lot of people don't want to put money into, until we have a wide scale pandemic,” Jerde says, but that vigilance is key to thwarting the next deadly horror. “It takes a lot of patience and perseverance to keep looking.”
This article originally appeared in One Health/One Planet, a single-issue magazine that explores how climate change and other environmental shifts are increasing vulnerabilities to infectious diseases by land and by sea. The magazine probes how scientists are making progress with leaders in other fields toward solutions that embrace diverse perspectives and the interconnectedness of all lifeforms and the planet.
“Siri, Read My Mind”: A New Device Lets Users Think Commands
Sometime in the near future, we won't need to type on a smartphone or computer to silently communicate our thoughts to others.
"We're moving as fast as possible to get the technology right, to get the ethics right, to get everything right."
In fact, the devices themselves will quietly understand our intentions and express them to other people. We won't even need to move our mouths.
That "sometime in the near future" is now.
At the recent TED Conference, MIT student and TED Fellow Arnav Kapur was onstage with a colleague doing the first live public demo of his new technology. He was showing how you can communicate with a computer using signals from your brain. The usually cool, erudite audience seemed a little uncomfortable.
"If you look at the history of computing, we've always treated computers as external devices that compute and act on our behalf," Kapur said. "What I want to do is I want to weave computing, AI and Internet as part of us."
His colleague started up a device called AlterEgo. Thin like a sticker, AlterEgo picks up signals in the mouth cavity. It recognizes the intended speech and processes it through the built-in AI. The device then gives feedback to the user directly through bone conduction: It vibrates your inner ear drum and gives you a response meshing with your normal hearing.
Onstage, the assistant quietly thought of a question: "What is the weather in Vancouver?" Seconds later, AlterEgo told him in his ear. "It's 50 degrees and rainy here in Vancouver," the assistant announced.
AlterEgo essentially gives you a built-in Siri.
"We don't have a deadline [to go to market], but we're moving as fast as possible to get the technology right, to get the ethics right, to get everything right," Kapur told me after the talk. "We're developing it both as a general purpose computer interface and [in specific instances] like on the clinical side or even in people's homes."
Nearly-telepathic communication actually makes sense now. About ten years ago, the Apple iPhone replaced the ubiquitous cell phone keyboard with a blank touchscreen. A few years later, Google Glass put computer screens into a simple lens. More recently, Amazon Alexa and Microsoft Cortana have dropped the screen and gone straight for voice control. Now those voices are getting closer to our minds and may even become indistinguishable in the future.
"We knew the voice market was growing, like with getting map locations, and audio is the next frontier of user interfaces," says Dr. Rupal Patel, Founder and CEO of VocalID. The startup literally gives voices to the voiceless, particularly people unable to speak because of illness or other circumstances.
"We start with [our database of] human voices, then train our deep learning technology to learn the pattern of speech… We mix voices together from our voice bank, so it's not just Damon's voice, but three or five voices. They are different enough to blend it into a voice that does not exist today – kind of like a face morph."
The VocalID customer then has a voice as unique as he or she is, mixed together like a Sauvignon blend. It is a surrogate voice for those of us who cannot speak, just as much as AlterEgo is a surrogate companion for our brains.
"I'm very skeptical keyboards or voice-based communication will be replaced any time soon."
Voice equality will become increasingly important as Siri, Alexa and voice-based interfaces become the dominant communication method.
It may feel odd to view your voice as a privilege, but as the world becomes more voice-activated, there will be a wider gap between the speakers and the voiceless. Picture going shopping without access to the Internet or trying to eat healthily when your neighborhood is a food desert. And suffering from vocal difficulties is more common than you might think. In fact, according to government statistics, around 7.5 million people in the U.S. have trouble using their voices.
While voice communication appears to be here to stay, at least for now, a more radical shift to mind-controlled communication is not necessarily inevitable. Tech futurist Wagner James Au, for one, is dubious.
"I'm very skeptical keyboards or voice-based communication will be replaced any time soon. Generation Z has grown up with smartphones and games like Fortnite, so I don't see them quickly switching to a new form factor. It's still unclear if even head-mounted AR/VR displays will see mass adoption, and mind-reading devices are a far greater physical imposition on the user."
How adopters use the newest brain impulse-reading, voice-altering technology is a much more complicated discussion. This spring, a video showed U.S. House Speaker Nancy Pelosi stammering and slurring her words at a press conference. The problem is that it didn't really happen: the video was manufactured and heavily altered from the original source material.
So-called deepfake videos use computer algorithms to capture the visual and vocal cues of an individual, and then the creator can manipulate it to say whatever it wants. Deepfakes have already created false narratives in the political and media systems – and these are only videos. Newer tech is making the barrier between tech and our brains, if not our entire identity, even thinner.
"Last year," says Patel of VocalID, "we did penetration testing with our voices on banks that use voice control – and our generation 4 system is even tricky for you and me to identify the difference (between real and fake). As a forward-thinking company, we want to prevent risk early on by watermarking voices, creating a detector of false voices, and so on." She adds, "The line will become more blurred over time."
Onstage at TED, Kapur reassured the audience about who would be in the driver's seat. "This is why we designed the system to deliberately record from the peripheral nervous system, which is why the control in all situations resides with the user."
And, like many creators, he quickly shifted back to the possibilities. "What could the implications of something like this be? Imagine perfectly memorizing things, where you perfectly record information that you silently speak, and then hear them later when you want to, internally searching for information, crunching numbers at speeds computers do, silently texting other people."
"The potential," he concluded, "could be far-reaching."
There's no shortage of fake news going around the internet these days, but how do we become more aware as consumers of what's real and what's not?
"We are hoping to create what you might call a general 'vaccine' against fake news, rather than trying to counter each specific conspiracy or falsehood."
Researchers at the University of Cambridge may have answered just that by developing an online game designed to expose and educate participants to the tactics used by those spreading false information.
"We wanted to see if we could preemptively debunk, or 'pre-bunk', fake news by exposing people to a weak dose of the methods used to create and spread disinformation, so they have a better understanding of how they might be deceived," Dr Sander van der Linden, Director of the Cambridge Social Decision-Making Lab, said in a statement.
"This is a version of what psychologists call 'inoculation theory', with our game working like a psychological vaccination."
In February 2018, van der Linden and his coauthor, Jon Roozenbeek, helped launch the browser game, "Bad News," where players take on the role of "Disinformation and Fake News Tycoon."
They can manipulate news and social media within the game by several different methods, including deploying twitter-bots, photo-shopping evidence, creating fake accounts, and inciting conspiracy theories with the goal of attracting followers and maintaining a "credibility score" for persuasiveness.
In order to gauge the game's effectiveness, players were asked to rate the reliability of a number of real and fake news headlines and tweets both before and after playing. The data from 15,000 players was evaluated, with the results published June 25 in the journal Palgrave Communications.
The results concluded that "the perceived reliability of fake news before playing the game had reduced by an average of 21% after completing it. Yet the game made no difference to how users ranked real news."
Just 15 minutes of playing the game can have a moderate effect on people, which could play a major role on a larger scale.
Additionally, participants who "registered as most susceptible to fake news headlines at the outset benefited most from the 'inoculation,'" according to the study.
Just 15 minutes of playing the game can have a moderate effect on people, which could play a major role on a larger scale when it comes to "building a societal resistance to fake news," according to Dr. van der Linden.
"Research suggests that fake news spreads faster and deeper than the truth, so combating disinformation after-the-fact can be like fighting a losing battle," he said.
"We are hoping to create what you might call a general 'vaccine' against fake news, rather than trying to counter each specific conspiracy or falsehood," Roozenbeek added.
Van der Linden and Roozenbeek's work is an early example of the potential methods to protect people against deception by training them to be more attuned to the methods used to distribute fake news.
"I hope that the positive results give further credence to the new science of prebunking rather than only thinking about traditional debunking. On a larger level, I also hope the game and results inspire a new kind of behavioral science research where we actively engage with people and apply insights from psychological science in the public interest," van der Linden told leapsmag.
"I like the idea that the end result of a scientific theory is a real-world partnership and practical tool that organizations and people can use to guard themselves against online manipulation techniques in a novel and hopefully fun and engaging manner."
Ready to be "inoculated" against fake news? Then play the game for yourself.