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

fitness and wellness
5-Point Digital Health Checkup
A Healthcare Data Pro’s Innovation Wish List
How to Secure Data in Healthcare
5 Places Medical Practices Can Get Involved with Community Outreach
Social Media Laws – Really?

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

a woman walking on the hallway
6 Easy Healthcare Ways to Sit Less and Move More Every Day
Health
September 9, 2025
Clinical Expertise
Healthcare at a Crossroads: Why Leadership Matters More Than Ever
Global Healthcare
September 9, 2025
travel nurse in north carolina
Balancing Speed and Scope: Choosing the Nursing Degree That Fits Your Goals
Nursing
September 1, 2025
intimacy
How to Keep Intimacy Comfortable as You Age
Relationship and Lifestyle Senior Care
September 1, 2025

You Might also Like

Data Breach Analysis 2009-2012 – HITECH Experience Reviewed by HITRUST

December 9, 2012
eHealthTechnology

What To Know About Security For Modern Healthcare Apps

May 19, 2019
Medical Records

Interactive: A Status Report on Health Information Technology in the States

December 14, 2011

Being Almost Human: Robotic Patient Simulators Bridging the Gap in Healthcare Education

August 19, 2015
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?