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Taking the pandemic’s temperature




Last March, as covid-19 ripped through communities across the country, Inder Singh, MBA ’06, SM ’07, realized he had information that could help officials respond.

For years Singh’s company, Kinsa Health, had tracked fevers using data from its network of thousands of smartphone-­connected thermometers. As the potential scope of the covid-19 outbreak became clear, Singh subtracted the typical cold and flu numbers gathered in years past from the company’s graphs.

“What’s left over are unusual fevers, and we saw hot spots across the country,” Singh says. “We observed six years of data and there’d been hot spots, but nothing like we were seeing in early March.”

Kinsa’s team realized that the data offered a more immediate view of illness than test results. Within days they made it publicly available. Then on Saturday, March 14, Singh got on a call with the former head of the US Food and Drug Administration, the physician-researcher responsible for Taiwan’s successful covid-19 response, and Nirav Shah, a physician who is the former New York state health commissioner.

“Inder showed us this map, and he said, ‘I think this is covid-19 in the community,’” recalls Shah, who now sits on Kinsa’s board of directors. “All three of us were like, ‘It’s lighting up in Texas and Florida—we don’t see any covid [hot spots] there. Obviously your stuff is wrong.’” Two weeks later, the first surges in cases started being reported out of Texas and Florida.

Since then, Kinsa has been working to help US efforts to understand and contain the virus. Its data is being used by officials in at least five states and five cities, thousands of research groups, prominent media outlets, and organizations including the NBA, which used Kinsa’s thermometers during the isolation of its players and coaches to finish the 2019-2020 season. 

Kinsa’s FLUency Program, an initiative started in 2013 to help schools combat the seasonal flu, laid the foundation for Kinsa’s data collection. Today the company is working with more than 4,000 schools, accounting for about 5% of the nation’s public elementary schools.

“By the time the CDC [US Centers for Disease Control] gets the data, it has been processed, deidentified, and people have entered the health system to see a doctor,” says Singh, who is Kinsa’s CEO. “There’s a huge delay from when someone contracts an illness to when they see a doctor. The current health-care system only sees the latter; we see the former.”

Finding a path

Singh, who earned undergrad degrees in economics and engineering at the University of Michigan, was introduced to the world of infectious disease during graduate studies at the Harvard Kennedy School of Government. Although he’d started college intent on becoming an astronaut, as a grad student he spent time in different parts of Africa working on initiatives to prevent the spread of diseases like malaria and AIDS.

Singh’s first exposure to MIT came while he was back in Cambridge.

“I remember I interacted with some MIT undergrads. We brainstormed some social-impact ideas,” he recalls. “A week later I got an email from them saying they’d prototyped what we were talking about. I was like, ‘You prototyped what we talked about in a week?’ I was blown away, and it was an insight into how MIT is such a doer campus. It was so entrepreneurial.”

Soon Singh enrolled in the interdisciplinary Harvard-MIT Program in Health Sciences and Technology, earning his master’s and MBA degrees while working with leading research hospitals in the area. He then got what he describes as a dream job at the Clinton Health Access Initiative (CHAI), brokering deals between pharmaceutical companies and poor countries to lower the cost of medicines for AIDS, malaria, and tuberculosis. The role opened his eyes to several shortcomings in the global health system.

“The world tries to curb the spread of infectious illness with almost zero real-time information about when and where disease is spreading,” he says. “The question I posed to start Kinsa was ‘How do you stop the next outbreak before it becomes an epidemic if you don’t know where and when it’s starting and how fast it’s spreading?’”

Thermometers for change

With the insight that better data was needed to control infectious diseases, Singh founded Kinsa in 2012. In order to get that data, the company needed a new way of providing value to families when someone was ill.

“The behavior in the home when someone gets sick is to grab the thermometer,” Singh says. “We piggybacked off of that to create a communication channel to the sick, to help them get better faster.”

A year later, the company launched the FLUency Program, which became the vehicle for Kinsa to get millions of thermometers into communities around the country. The company relies on donations and government grants to hand out its thermometers to schools that serve primarily poor families.

Kinsa’s thermometers link to an app that considers age, temperature, and symptoms to help users decide if they should seek medical attention. The app also incorporates community illness levels into its guidance—informing parents, for instance, if other students in their child’s grade have come down with the flu. 

“That’s important because parents question what’s going around,” Singh says. “For the most part everything starts the same way: a cough, maybe a spike in fever. But what is it? Strep throat? Common cold? Flu? Covid-19? Now you have more context.”

Kinsa’s HealthWeather website lets anyone check real-time covid risk by zip code; it draws from fever data collected by the company’s smart thermometers, symptoms entered on its app, and covid case data collected by Johns Hopkins University.


The data generated by the thermometers is also anonymized and aggregated for officials like school nurses, who can help prevent the spread of disease in classrooms by reminding parents to keep their kids home if they are sick or by encouraging teachers to disinfect surfaces more often.

In California, Fresno began equipping families in each of its 60 elementary schools with thermometers in 2019. Kinsa looked at the number of student absences in schools with more and less participation in the program and found that students missed 8% fewer days in schools where more families had thermometers, a pattern school officials also noticed.

“Students miss less school because we’re not exposing as many kids to illness,” says Jane Banks, the head of school nurses for the Fresno public schools. “We’re educating and intervening in real time when we see any outbreak, or anything that’s off.” In the fall, she was talking with Kinsa about how Fresno might use the thermometers to help bring students back to the classroom in phases once schools got the green light. 

In Laguna Niguel, California, the Community Roots charter school distributed the thermometers to all students’ families after beginning the school year with online instruction. When the school shifted to in-person learning, it required students arriving on campus each day to show school officials their negative fever results through the Kinsa app. While of course being fever-free can’t guarantee that a student is covid-free, the daily temperature readings at home at least made it possible to keep symptomatic students away from healthy students. As of the beginning of December, Community Roots was the only elementary school open for five-day classroom instruction in Orange County. 

“I interacted with some MIT undergrads. We brainstormed some social-impact ideas. A week later I got an email from them saying they’d prototyped what we were talking about. I was like, ‘You prototyped what we talked about in a week?’ I was blown away.”

Singh says the only thing holding the FLUency Program back is funding: an additional 13,000 schools have applied to participate, but Kinsa hasn’t found enough donors. “We are adamant that we don’t charge the public schools,” he says.

Kinsa’s fever data has proved useful beyond school settings as well. In the Orlando “bubble” the NBA used to finish its 2019-2020 season, every player, ref, media person, and staff member began each day with a reading from Kinsa’s thermometer. If someone showed a higher temperature than average, the NBA’s health and safety team, which included doctors and epidemiologists, would call the person to do an assessment. John DiFiori, the NBA’s director of sports medicine, told USA Today the daily temperature check was “really the foundation” of the league’s approach to keeping everyone safe.

Kinsa has also made information about local outbreaks available to anyone—not just those with the app. In November, the company launched a tool on its HealthWeather website that lets anyone in the US view a real-time risk score for the level of contagious illness in a given zip code. The idea is to make checking local illness levels as easy as viewing local weather forecasts.

Fever data is not a perfect proxy for covid-19 infection. It can do only so much to help authorities contain the virus because people can be asymptomatic but still contagious, cautions Joseph Frassica, a professor of the practice at MIT’s Institute for Medical Engineering and Science (IMES) as well as the head of Philips Research North America. Younger populations are more likely to be asymptomatic if infected, he says, which particularly limits the usefulness of student testing systems that rely on temperature data alone.

That said, he thinks that combining fever data with the questionnaires on Kinsa’s app is a great way to track symptomatic covid-19 cases, and Kinsa’s widespread thermometer distribution means that its maps are a fairly good indicator of covid-19 in communities. Kinsa says that between March 1 and November 1 of 2020, it captured nearly 15 million fever readings and 1.7 million symptom inputs.

“Kinsa’s approach of collecting data from connected thermometers is an important one and actually very useful for detecting geographies where there’s an increase or decrease in the incidence of fever—and, in the year of covid-19, the incidence of covid-19,” says Frassica, who has worked on building predictive models for covid-19 through IMES and is not affiliated with Kinsa Health.

Filling a void

Last spring, New Orleans city officials were working overtime in a struggle that was playing out across the US. The city had organized a covid-19 response team to establish community testing sites, procure protective equipment, educate the public, and take other steps to curb the spread of the disease.

Unfortunately, like the rest of the country, New Orleans had to rely on testing data to track the virus. That made it more likely that people would spread the disease before they knew they were infected.

The mayor’s office had been in touch with Kinsa about the company’s thermometers, but the city was in no position to buy them anytime soon.

Then a Kinsa employee called the mayor’s office to say the company had found a donor, and 25,000 thermometers were coming free of charge. They arrived at city hall on June 24. Over the next few weeks, the thermometers were given out to low-income families, who are generally more vulnerable to the worst symptoms of covid-19. Many of the recipients didn’t previously have a thermometer in their home. Kinsa’s app gave the families information about the spread of the disease in their communities and helped them take steps to mitigate its spread. It also gave city officials new, real-time information about community health.

“If I know what’s going on in the community, I can respond better as a parent, I can respond better as a school leader, I can respond better as a school nurse,” Singh says. “When you know where and when symptoms are starting and how fast they’re spreading, you can empower local individuals, families, communities, and governments.” 


The hunter-gatherer groups at the heart of a microbiome gold rush



The hunter-gatherer groups at the heart of a microbiome gold rush

The first step to finding out is to catalogue what microbes we might have lost. To get as close to ancient microbiomes as possible, microbiologists have begun studying multiple Indigenous groups. Two have received the most attention: the Yanomami of the Amazon rainforest and the Hadza, in northern Tanzania. 

Researchers have made some startling discoveries already. A study by Sonnenburg and his colleagues, published in July, found that the gut microbiomes of the Hadza appear to include bugs that aren’t seen elsewhere—around 20% of the microbe genomes identified had not been recorded in a global catalogue of over 200,000 such genomes. The researchers found 8.4 million protein families in the guts of the 167 Hadza people they studied. Over half of them had not previously been identified in the human gut.

Plenty of other studies published in the last decade or so have helped build a picture of how the diets and lifestyles of hunter-gatherer societies influence the microbiome, and scientists have speculated on what this means for those living in more industrialized societies. But these revelations have come at a price.

A changing way of life

The Hadza people hunt wild animals and forage for fruit and honey. “We still live the ancient way of life, with arrows and old knives,” says Mangola, who works with the Olanakwe Community Fund to support education and economic projects for the Hadza. Hunters seek out food in the bush, which might include baboons, vervet monkeys, guinea fowl, kudu, porcupines, or dik-dik. Gatherers collect fruits, vegetables, and honey.

Mangola, who has met with multiple scientists over the years and participated in many research projects, has witnessed firsthand the impact of such research on his community. Much of it has been positive. But not all researchers act thoughtfully and ethically, he says, and some have exploited or harmed the community.

One enduring problem, says Mangola, is that scientists have tended to come and study the Hadza without properly explaining their research or their results. They arrive from Europe or the US, accompanied by guides, and collect feces, blood, hair, and other biological samples. Often, the people giving up these samples don’t know what they will be used for, says Mangola. Scientists get their results and publish them without returning to share them. “You tell the world [what you’ve discovered]—why can’t you come back to Tanzania to tell the Hadza?” asks Mangola. “It would bring meaning and excitement to the community,” he says.

Some scientists have talked about the Hadza as if they were living fossils, says Alyssa Crittenden, a nutritional anthropologist and biologist at the University of Nevada in Las Vegas, who has been studying and working with the Hadza for the last two decades.

The Hadza have been described as being “locked in time,” she adds, but characterizations like that don’t reflect reality. She has made many trips to Tanzania and seen for herself how life has changed. Tourists flock to the region. Roads have been built. Charities have helped the Hadza secure land rights. Mangola went abroad for his education: he has a law degree and a master’s from the Indigenous Peoples Law and Policy program at the University of Arizona.

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The Download: a microbiome gold rush, and Eric Schmidt’s election misinformation plan



The Download: a microbiome gold rush, and Eric Schmidt’s election misinformation plan

Over the last couple of decades, scientists have come to realize just how important the microbes that crawl all over us are to our health. But some believe our microbiomes are in crisis—casualties of an increasingly sanitized way of life. Disturbances in the collections of microbes we host have been associated with a whole host of diseases, ranging from arthritis to Alzheimer’s.

Some might not be completely gone, though. Scientists believe many might still be hiding inside the intestines of people who don’t live in the polluted, processed environment that most of the rest of us share. They’ve been studying the feces of people like the Yanomami, an Indigenous group in the Amazon, who appear to still have some of the microbes that other people have lost. 

But there is a major catch: we don’t know whether those in hunter-gatherer societies really do have “healthier” microbiomes—and if they do, whether the benefits could be shared with others. At the same time, members of the communities being studied are concerned about the risk of what’s called biopiracy—taking natural resources from poorer countries for the benefit of wealthier ones. Read the full story.

—Jessica Hamzelou

Eric Schmidt has a 6-point plan for fighting election misinformation

—by Eric Schmidt, formerly the CEO of Google, and current cofounder of philanthropic initiative Schmidt Futures

The coming year will be one of seismic political shifts. Over 4 billion people will head to the polls in countries including the United States, Taiwan, India, and Indonesia, making 2024 the biggest election year in history.

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Navigating a shifting customer-engagement landscape with generative AI



Navigating a shifting customer-engagement landscape with generative AI

A strategic imperative

Generative AI’s ability to harness customer data in a highly sophisticated manner means enterprises are accelerating plans to invest in and leverage the technology’s capabilities. In a study titled “The Future of Enterprise Data & AI,” Corinium Intelligence and WNS Triange surveyed 100 global C-suite leaders and decision-makers specializing in AI, analytics, and data. Seventy-six percent of the respondents said that their organizations are already using or planning to use generative AI.

According to McKinsey, while generative AI will affect most business functions, “four of them will likely account for 75% of the total annual value it can deliver.” Among these are marketing and sales and customer operations. Yet, despite the technology’s benefits, many leaders are unsure about the right approach to take and mindful of the risks associated with large investments.

Mapping out a generative AI pathway

One of the first challenges organizations need to overcome is senior leadership alignment. “You need the necessary strategy; you need the ability to have the necessary buy-in of people,” says Ayer. “You need to make sure that you’ve got the right use case and business case for each one of them.” In other words, a clearly defined roadmap and precise business objectives are as crucial as understanding whether a process is amenable to the use of generative AI.

The implementation of a generative AI strategy can take time. According to Ayer, business leaders should maintain a realistic perspective on the duration required for formulating a strategy, conduct necessary training across various teams and functions, and identify the areas of value addition. And for any generative AI deployment to work seamlessly, the right data ecosystems must be in place.

Ayer cites WNS Triange’s collaboration with an insurer to create a claims process by leveraging generative AI. Thanks to the new technology, the insurer can immediately assess the severity of a vehicle’s damage from an accident and make a claims recommendation based on the unstructured data provided by the client. “Because this can be immediately assessed by a surveyor and they can reach a recommendation quickly, this instantly improves the insurer’s ability to satisfy their policyholders and reduce the claims processing time,” Ayer explains.

All that, however, would not be possible without data on past claims history, repair costs, transaction data, and other necessary data sets to extract clear value from generative AI analysis. “Be very clear about data sufficiency. Don’t jump into a program where eventually you realize you don’t have the necessary data,” Ayer says.

The benefits of third-party experience

Enterprises are increasingly aware that they must embrace generative AI, but knowing where to begin is another thing. “You start off wanting to make sure you don’t repeat mistakes other people have made,” says Ayer. An external provider can help organizations avoid those mistakes and leverage best practices and frameworks for testing and defining explainability and benchmarks for return on investment (ROI).

Using pre-built solutions by external partners can expedite time to market and increase a generative AI program’s value. These solutions can harness pre-built industry-specific generative AI platforms to accelerate deployment. “Generative AI programs can be extremely complicated,” Ayer points out. “There are a lot of infrastructure requirements, touch points with customers, and internal regulations. Organizations will also have to consider using pre-built solutions to accelerate speed to value. Third-party service providers bring the expertise of having an integrated approach to all these elements.”

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