By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
Health Works CollectiveHealth Works CollectiveHealth Works Collective
  • Health
    • Mental Health
  • Policy and Law
    • Global Healthcare
    • Medical Ethics
  • Medical Innovations
  • News
  • Wellness
  • Tech
Search
© 2023 HealthWorks Collective. All Rights Reserved.
Reading: Tracking Food Poisoning Via Twitter
Share
Notification Show More
Font ResizerAa
Health Works CollectiveHealth Works Collective
Font ResizerAa
Search
Follow US
  • About
  • Contact
  • Privacy
© 2023 HealthWorks Collective. All Rights Reserved.
Health Works Collective > eHealth > Remote Diagnostics > Tracking Food Poisoning Via Twitter
eHealthRemote DiagnosticsSocial Media

Tracking Food Poisoning Via Twitter

waxcom
waxcom
Share
2 Min Read
SHARE

Twitter is pretty powerful – it can tell us about breaking news, how people are reacting to a specific event, and what and where they’re eating for dinner. Twitter can even tell us where people are getting sick, specifically from food poisoning.

Twitter is pretty powerful – it can tell us about breaking news, how people are reacting to a specific event, and what and where they’re eating for dinner. Twitter can even tell us where people are getting sick, specifically from food poisoning.

food poisoning ehealthA new study reports on nEmesis, a learning machine built by a Google data scientist that can track where people tweet about food poisoning.

In the study, the machine flagged relevant stomach- and food-related updates from a pool of 3.8 million tweets posted in a four-month period in New York City. Human eyes then determined what was thought to be the 6,000 most relevant tweets that seemed to indicate food poisoning so that nEmesis could learn what data to look for.

More Read

Johns Hopkins Medical and IT Researchers Teaming With Harris Corporation to Create Mega Medical Imaging Cloud System
The Benefits of Having an E-newsletter for Your Hospital
How Electronic Health Records Helped Reduce Costs and Increase Efficiency – A Testimonial
Is “Convincing” People to Use Health Apps the Right Approach to Patient Engagement?
Michael Seres, UK ePatient Helps Crowd-Fund Patient Scholarships

Geo-located tweets that contained phrases like “throw up,” “Pepto-Bismol” or “my tummy hurts” were flagged as being related to food-borne illness. These tweets were then data-mined and had metadata added to indicate open restaurants near the place where the user tweeted.

The health scores nEmesis assigned to restaurants based on the number of tweeters who fell ill after visiting came close to the scores food inspectors had submitted to the city’s health department.

This discovery shows the potential of Twitter’s big data for improving healthcare.

TAGGED:food poisoningnEmesistwitter
Share This Article
Facebook Copy Link Print
Share

Stay Connected

1.5kFollowersLike
4.5kFollowersFollow
2.8kFollowersPin
136kSubscribersSubscribe

Latest News

Epidemiological Health Benefits
Personal and Epidemiological Health Benefits of Blood Pressure Management
Health
October 13, 2025
Traumatic Brain Injuries
Understanding Traumatic Brain Injuries: What Families Need to Know
Policy & Law
October 10, 2025
Remote Monitoring touchpoints
Remote Monitoring Touchpoints Patients Will Actually Follow
Technology
October 9, 2025
dental care
Importance of Good Dental Care for Health and Confidence
Dental health Specialties
October 2, 2025

You Might also Like

How to Get Some Love from Pinterest’s New Smart Feed

January 7, 2015
eHealthTechnology

The Challenges Associated With IoT Healthcare Implementation

August 13, 2019

In a World of Cloud Services, Are HL7 Interface Engines Dead?

May 9, 2012

Paris to Palo Alto Healthcare Social Media Interview

April 21, 2013
Subscribe
Subscribe to our newsletter to get our newest articles instantly!
Follow US
© 2008-2025 HealthWorks Collective. All Rights Reserved.
  • About
  • Contact
  • Privacy
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?