A future app may help you avoid getting the flu by informing you of your local risk on a given day.
Applied mathematician Sara del Valle works at the U.S.'s foremost nuclear weapons lab: Los Alamos. Once colloquially called Atomic City, it's a hidden place 45 minutes into the mountains northwest of Santa Fe. Here, engineers developed the first atomic bomb.
Like AccuWeather, an app for disease prediction could help people alter their behavior to live better lives.
Today, Los Alamos still a small science town, though no longer a secret, nor in the business of building new bombs. Instead, it's tasked with, among other things, keeping the stockpile of nuclear weapons safe and stable: not exploding when they're not supposed to (yes, please) and exploding if someone presses that red button (please, no).
Del Valle, though, doesn't work on any of that. Los Alamos is also interested in other kinds of booms—like the explosion of a contagious disease that could take down a city. Predicting (and, ideally, preventing) such epidemics is del Valle's passion. She hopes to develop an app that's like AccuWeather for germs: It would tell you your chance of getting the flu, or dengue or Zika, in your city on a given day. And like AccuWeather, it could help people alter their behavior to live better lives, whether that means staying home on a snowy morning or washing their hands on a sickness-heavy commute.
Sara del Valle of Los Alamos is working to predict and prevent epidemics using data and machine learning.
Since the beginning of del Valle's career, she's been driven by one thing: using data and predictions to help people behave practically around pathogens. As a kid, she'd always been good at math, but when she found out she could use it to capture the tentacular spread of disease, and not just manipulate abstractions, she was hooked.
When she made her way to Los Alamos, she started looking at what people were doing during outbreaks. Using social media like Twitter, Google search data, and Wikipedia, the team started to sift for trends. Were people talking about hygiene, like hand-washing? Or about being sick? Were they Googling information about mosquitoes? Searching Wikipedia for symptoms? And how did those things correlate with the spread of disease?
It was a new, faster way to think about how pathogens propagate in the real world. Usually, there's a 10- to 14-day lag in the U.S. between when doctors tap numbers into spreadsheets and when that information becomes public. By then, the world has moved on, and so has the disease—to other villages, other victims.
"We found there was a correlation between actual flu incidents in a community and the number of searches online and the number of tweets online," says del Valle. That was when she first let herself dream about a real-time forecast, not a 10-days-later backcast. Del Valle's group—computer scientists, mathematicians, statisticians, economists, public health professionals, epidemiologists, satellite analysis experts—has continued to work on the problem ever since their first Twitter parsing, in 2011.
They've had their share of outbreaks to track. Looking back at the 2009 swine flu pandemic, they saw people buying face masks and paying attention to the cleanliness of their hands. "People were talking about whether or not they needed to cancel their vacation," she says, and also whether pork products—which have nothing to do with swine flu—were safe to buy.
At the latest meeting with all the prediction groups, del Valle's flu models took first and second place.
They watched internet conversations during the measles outbreak in California. "There's a lot of online discussion about anti-vax sentiment, and people trying to convince people to vaccinate children and vice versa," she says.
Today, they work on predicting the spread of Zika, Chikungunya, and dengue fever, as well as the plain old flu. And according to the CDC, that latter effort is going well.
Since 2015, the CDC has run the Epidemic Prediction Initiative, a competition in which teams like de Valle's submit weekly predictions of how raging the flu will be in particular locations, along with other ailments occasionally. Michael Johannson is co-founder and leader of the program, which began with the Dengue Forecasting Project. Its goal, he says, was to predict when dengue cases would blow up, when previously an area just had a low-level baseline of sick people. "You'll get this massive epidemic where all of a sudden, instead of 3,000 to 4,000 cases, you have 20,000 cases," he says. "They kind of come out of nowhere."
But the "kind of" is key: The outbreaks surely come out of somewhere and, if scientists applied research and data the right way, they could forecast the upswing and perhaps dodge a bomb before it hit big-time. Questions about how big, when, and where are also key to the flu.
A big part of these projects is the CDC giving the right researchers access to the right information, and the structure to both forecast useful public-health outcomes and to compare how well the models are doing. The extra information has been great for the Los Alamos effort. "We don't have to call departments and beg for data," says del Valle.
When data isn't available, "proxies"—things like symptom searches, tweets about empty offices, satellite images showing a green, wet, mosquito-friendly landscape—are helpful: You don't have to rely on anyone's health department.
At the latest meeting with all the prediction groups, del Valle's flu models took first and second place. But del Valle wants more than weekly numbers on a government website; she wants that weather-app-inspired fortune-teller, incorporating the many diseases you could get today, standing right where you are. "That's our dream," she says.
This plot shows the the correlations between the online data stream, from Wikipedia, and various infectious diseases in different countries. The results of del Valle's predictive models are shown in brown, while the actual number of cases or illness rates are shown in blue.
(Courtesy del Valle)
The goal isn't to turn you into a germophobic agoraphobe. It's to make you more aware when you do go out. "If you know it's going to rain today, you're more likely to bring an umbrella," del Valle says. "When you go on vacation, you always look at the weather and make sure you bring the appropriate clothing. If you do the same thing for diseases, you think, 'There's Zika spreading in Sao Paulo, so maybe I should bring even more mosquito repellent and bring more long sleeves and pants.'"
They're not there yet (don't hold your breath, but do stop touching your mouth). She estimates it's at least a decade away, but advances in machine learning could accelerate that hypothetical timeline. "We're doing baby steps," says del Valle, starting with the flu in the U.S., dengue in Brazil, and other efforts in Colombia, Ecuador, and Canada. "Going from there to forecasting all diseases around the globe is a long way," she says.
But even AccuWeather started small: One man began predicting weather for a utility company, then helping ski resorts optimize their snowmaking. His influence snowballed, and now private forecasting apps, including AccuWeather's, populate phones across the planet. The company's progression hasn't been without controversy—privacy incursions, inaccuracy of long-term forecasts, fights with the government—but it has continued, for better and for worse.
Disease apps, perhaps spun out of a small, unlikely team at a nuclear-weapons lab, could grow and breed in a similar way. And both the controversies and public-health benefits that may someday spin out of them lie in the future, impossible to predict with certainty.
A worker tends to a rural farm in Hanoi, Vietnam, where technology is making it easier to harvest an ancient fern called Azolla. Some scientists and farmers view Azolla as a solution to our modern-day agricultural and environmental challenges.
This “Arctic Azolla event” had devastating impacts on marine life. To date, scientists are trying to figure out how it ended. But they documented that the extraordinary event cooled down the Arctic by at least 40 degrees Fahrenheit — effectively freezing the poles and triggering several cycles of ice ages. “This carbon dioxide sequestration changed the climate from greenhouse to white house,” says Jonathan Bujak, a paleontologist who has researched the Arctic through expeditions since 1973.
Some farmers and scientists, such as Bujak, are looking to this ancient fern, which manipulated the Earth’s climate around 49 million years ago with its insatiable appetite for carbon dioxide, as a potential solution to our modern-day agricultural and environmental challenges. “There is no other plant like Azolla in the world,” says Bujak.
Decoding the Azolla plant
Azolla lives in symbiosis with a cyanobacterium called Anabaena that made the plant’s leaf cavities its permanent home at an early stage in Earth's history. This close relationship with Anabaena enables Azolla to accomplish a feat that is impossible for most plants: directly splitting dinitrogen molecules that make up 78 percent of the Earth’s atmosphere.
A dinitrogen molecule consists of two nitrogen atoms tightly locked together in one of the strongest bonds in nature. The semi-aquatic fern’s ability to split nitrogen, called nitrogen-fixing, made it a highly revered plant in East Asia. Rice farmers used Azolla as a biofertilizer since the 11th century in Vietnam and China.
For decades, scientists have attempted to decode Azolla’s evolution. Cell biologist Francisco Carrapico, who worked at the University of Lisbon, has analyzed this distinctive symbiosis since the 1980s. To his amazement, in 1991, he found that bacteria are the third partner of the Azolla-Anabaena symbiosis.
“Azolla and Anabaena cannot survive without each other. They have co-evolved for 80 million years, continuously exchanging their genetic material with each other,” says Bujak, co-author of The Azolla Story, which he published with his daughter, Alexandra Bujak, an environmental scientist. Three different levels of nitrogen fixation take place within the plant, as Anabaena draws down as much as 2,200 pounds of atmospheric nitrogen per acre annually.
“Using Azolla to mitigate climate change might sound a bit too simple. But that is not the case,” Bujak says. “At a microscopic level, extremely complicated biochemical reactions are constantly occurring inside the plant’s cells that machines or technology cannot replicate yet.”
In 2018, researchers based in the U.S. managed to sequence Azolla’s complete genome — which is four times larger than the human genome — through a crowdfunded study, further increasing our understanding of this plant. “Azolla is a superorganism that works efficiently as a natural biotechnology system that makes it capable of doubling in size within three to five days,” says Carrapico.
Making Azolla mainstream again in agriculture
While scientific groups in the Global North have been working towards unraveling the tiny fern’s inner workings, communities in the Global South are busy devising creative ways to return to their traditional agricultural roots by tapping into Azolla’s full potential.
Pham Gia Minh, an entrepreneur living in Hanoi, Vietnam, is one such citizen scientist who believes that Azolla could be a climate savior. More than two decades after working in finance and business development, Minh is now focusing on continuing his grandfather’s legacy, an agricultural scientist who conducted Azolla research until the 1950s. “Azolla is our family’s heritage,” says Minh.
Pham Gia Minh, an entrepreneur and citizen scientist in Hanoi, Vietnam, believes that Azolla could be a climate savior
Pham Gia Minh
Since the advent of chemical fertilizers in the early 1900s, farmers in Asia abandoned Azolla to save on time and labor costs. But rice farmers in the country went back to cultivating Azolla during the Vietnam War after chemical trade embargoes made chemical fertilizers far too expensive and inaccessible.
By 1973, Azolla cultivation in rice paddy fields was established on half a million hectares in Vietnam. By injecting nitrogen into the soil, Azolla improves soil fertility and also increases rice yields by at least 27 percent compared to urea. The plants can also reduce a farm’s methane emissions by 40 percent.
“Unfortunately, after 1985, chemical fertilizers became cheap and widely available in Vietnam again. So, farmers stopped growing Azolla because of the time-consuming and labor-intensive cultivation process,” says Minh.
Minh has invested in a rural farm where he is proving that modern technology can make the process less burdensome. He uses a pump and drying equipment for harvesting Azolla in a small pond, and he deploys a drone for spraying insecticides and fertilizers on the pond at regular intervals.
As Azolla lacks phosphorus, farmers in developing countries still find it challenging to let go of chemical fertilizers completely. Still, Minh and Bujak say that farmers can use Azolla instead of chemical fertilizers after mixing it with dung.
In the last few years, the fern’s popularity has been growing in other developing countries like India, Palestine, Indonesia, the Philippines, and Bangladesh, where local governments and citizens are trying to re-introduce Azolla integrated farming by growing the ferns in small ponds.
Replacing soybeans with Azolla
In Ecuador, Mariano Montano Armijos, a former chemical engineer, has worked with Azolla for more than 20 years. Since 2008, he has shared resources and information for growing Azolla with 3,000 farmers in Ecuador. The farmers use the harvested plants as a bio-fertilizer and feed for livestock.
“The farmers do not use urea anymore,” says Armijos. “This goes against the conventional agricultural practices of using huge amounts of synthetic nitrogen on a hectare of rice or corn fields.”
He insists that Azolla’s greatest strength is that it is a rich source of proteins, making it highly nutritious for human beings as well. After growing Azolla on a small scale in ponds, Armijos and his business partner, Ivan Noboa, are now building a facility for cultivating the ferns as a superfood on an industrial scale.
According to Armijos, one hectare of Azolla in Ecuador can produce seven tons of proteins. Whereas soybeans produce only one ton of protein per hectare. “If we switch to Azolla, it could help in reducing deforestation in the Amazon. But taming Azolla and turning it into a crop is not easy,” he adds.
Henriette Schluepmann, a molecular plant biologist at Utrecht University in the Netherlands, believes that Azolla could replace soybeans and chemical fertilizers someday — only if researchers can achieve yield stability in controlled environments over long durations.
“In a country like the Netherlands that is surrounded by water with high levels of phosphates, it makes sense to grow Azolla as a substitute for soybeans,” says Schluepmann. “For that to happen, we need massive investments to understand these ferns’ reproductive system and how to replicate that within aquaculture systems on a large scale.”
Pollution control and carbon sequestration
Currently, Schluepmann and her team are growing Azolla in a plant nursery or closed system before transferring the ferns to flooded fields. So far, they have been able to continuously grow Azolla without any major setbacks for a total of 155 days. Taking care of these plants’ well-being is an uphill struggle.
Unlike most plants, Azolla does not grow from seeds because it contains female and male spores that tend to split instead of reproducing. To add to that, growing Azolla on a large scale in controlled environments makes the floating plants extremely vulnerable to insect infestations and fungi attacks.
“Even though it is easier to grow Azolla on a non-industrial scale, the long and tedious cultivation process is often in conflict with human rights,” she says. Farms in developing countries such as Indonesia sometimes use child labor for cultivating Azolla.”
History has taught us that the uncontrolled growth of Azolla plants deprives marine ecosystems of sunlight and chokes life underneath them. But researchers like Schluepmann and Bujak are optimistic that even on a much smaller scale, Azolla can put up a fight against human-driven climate change.
Schluepmann discovered an insecticide that can control Azolla blooms. But in the wild, this aquatic fern grows relentlessly in polluted rivers and lakes and has gained a notorious reputation as an invasive weed. Countries like Portugal and the UK banned Azolla after experiencing severe blooms in rivers that snuffed out local marine life.
“Azolla has been misunderstood as a nuisance. But in reality, it is highly beneficial for purifying water,” says Bujak. Through a process called phytoremediation, Azolla locks up pollutants like excess nitrogen and phosphorus and stops toxic algal blooms from occurring in rivers and lakes.
A 2018 study found that Azolla can decrease nitrogen and phosphorus levels in wastewater by 33 percent and 40.5 percent, respectively. While harmful algae like phytoplankton produce toxins and release noxious gases, Azolla automatically blocks any toxins that its cyanobacteria, Anabaena, might produce.
“In our labs, we observed that Azolla works effectively in treating wastewater,” explains Schluepmann. “Once we gain a better understanding of Azolla aquaculture, we can also use it for carbon capture and storage. But in Europe, we would have to use the entire Baltic Sea to make a difference.”
Planting massive amounts of these prehistoric ferns in any of the Northern great water bodies is out of the question. After all, history has taught us that the uncontrolled growth of Azolla plants deprives marine ecosystems of sunlight and chokes life underneath them. But researchers like Schluepmann and Bujak are optimistic that even on a much smaller scale, Azolla can put up a fight against human-driven climate change.
Traditional carbon capture and storage methods are not only expensive but also inefficient and could increase air pollution. According to Bujak’s estimates, Azolla can sequester 10 metric tonnes of carbon dioxide per hectare annually, which is 10 times the average capacity of grasslands.
“Anyone can set up their own DIY carbon capture and storage system by growing Azolla in shallow water. After harvesting and compressing the plants, carbon dioxide gets stored permanently,” says Bujak.
He envisions scaling up this process by setting up “Azolla hubs” in mega-cities where the plants are grown in shallow trays stacked on top of each other with vertical farming systems built within multi-story buildings. The compressed Azolla plants can then be converted into a biofuel, fertilizer, livestock feed, or biochar for sequestering carbon dioxide.
“Using Azolla to mitigate climate change might sound a bit too simple. But that is not the case,” Bujak adds. “At a microscopic level, extremely complicated biochemical reactions are constantly occurring inside the plant’s cells that machines or technology cannot replicate yet.”
Through Azolla, scientists hope to work with nature by tapping into four billion years of evolution.
