Big Data and Collaboration Seek to Fight COVID-19

Researchers try unprecedented data sharing and cooperation to understand COVID-19—and develop a model for diseases beyond the coronavirus pandemic.

Written byEmma Yasinski
| 5 min read
n3c nih covid-19 database coronavirus pandemic National COVID Cohort Collaborative ncats big data artificial intelligence machine learning The Covid Symptom Tracker

Register for free to listen to this article
Listen with Speechify
0:00
5:00
Share

ABOVE: © ISTOCK.COM, METAMORWORKS

Although cough and fever have been considered the most tell-tale signs of COVID-19, in May, researchers published a study suggesting that loss of smell and taste were better able to predict who would test positive for the disease. The insight came from data shared by millions of individuals who logged on to a phone app to report what, if any, symptoms they were experiencing on a given day.

The Covid Symptom Tracker app now has nearly 4 million users. Researchers are extracting the massive amounts of data they gather to anticipate COVID-19 outbreaks in particular communities and to explore different risk factors for the disease.

“We were one of the earliest bodies to actually identify the importance of a loss of taste or smell as a predictor,” says Andrew Chan, a physician and epidemiologist at Massachusetts General Hospital and the lead researcher on the project. “We ...

Interested in reading more?

Become a Member of

The Scientist Logo
Receive full access to more than 35 years of archives, as well as TS Digest, digital editions of The Scientist, feature stories, and much more!
Already a member? Login Here

Related Topics

Meet the Author

  • emma yasinski

    Emma is a Florida-based freelance journalist and regular contributor for The Scientist. A graduate of Boston University’s Science and Medical Journalism Master’s Degree program, Emma has been covering microbiology, molecular biology, neuroscience, health, and anything else that makes her wonder since 2016. She studied neuroscience in college, but even before causing a few mishaps and explosions in the chemistry lab, she knew she preferred a career in scientific reporting to one in scientific research.

    View Full Profile
Share
February 2026

A Stubborn Gene, a Failed Experiment, and a New Path

When experiments refuse to cooperate, you try again and again. For Rafael Najmanovich, the setbacks ultimately pushed him in a new direction.

View this Issue
Human-Relevant In Vitro Models Enable Predictive Drug Discovery

Advancing Drug Discovery with Complex Human In Vitro Models

Stemcell Technologies
Redefining Immunology Through Advanced Technologies

Redefining Immunology Through Advanced Technologies

Ensuring Regulatory Compliance in AAV Manufacturing with Analytical Ultracentrifugation

Ensuring Regulatory Compliance in AAV Manufacturing with Analytical Ultracentrifugation

Beckman Coulter Logo
Conceptual multicolored vector image of cancer research, depicting various biomedical approaches to cancer therapy

Maximizing Cancer Research Model Systems

bioxcell

Products

Sino Biological Logo

Sino Biological Pioneers Life Sciences Innovation with High-Quality Bioreagents on Inside Business Today with Bill and Guiliana Rancic

Sino Biological Logo

Sino Biological Expands Research Reagent Portfolio to Support Global Nipah Virus Vaccine and Diagnostic Development

Beckman Coulter

Beckman Coulter Life Sciences Partners with Automata to Accelerate AI-Ready Laboratory Automation

Refeyn logo

Refeyn named in the Sunday Times 100 Tech list of the UK’s fastest-growing technology companies