---
title: Twitter Tracking Tummy Troubles
description: Twitter Tracking Tummy Troubles
---

<https://www.viroxanimalhealth.com/resources>

# [Twitter Tracking Tummy Troubles](https://www.viroxanimalhealth.com/resources/talkcleantome/2014/08/twitter-tracking-tummy-troubles.html)

 Written by [Nicole Kenny](https://www.viroxanimalhealth.com/resources/author/nicole-kenny) | Aug 22, 2014 4:18:00 PM

<http://static1.squarespace.com/static/595689fc9de4bbc892200518/t/59568acb5fd63b5f292877e1/1498845480197//img.jpg.com/static/595689fc9de4bbc892200518/t/59568acb5fd63b5f292877e1/1498843851338/1000w/>

I can say without a doubt I have had food poisoning from  
 eating at restaurants.  Two of the most  
 severe episodes I can even state with a high level of probability that I know  
 what caused it. In Sydney, NS while on  
 my honey moon it was definitely the Digby Clams...the one that tasted slightly  
 off, but not so bad you spit it out.  In  
 France, it was the warmed milk I put in my coffee at the lunch I had in a  
 quaint little Inn near the [Millau Viaduct](http://www.siteselection.com/ssinsider/snapshot/sf050103.htm) in Southern France.

Why you ask can I say with certainty that the Digby clams  
 or the warmed milk were the culprits?  By  
 deduction my dear Watson.  In both cases,  
 my husband and I had eaten the exact same things all day. With the clam I distinctly recall thinking,  
 hmmmm perhaps I should not have eaten that and with the milk...well my husband  
 takes his coffee black. 

According to a report publishes last week in the MMWR  
 ([Health Department Use of Social Media to Identify Foodborne Illness — Chicago,Illinois, 2013–2014)](http://www.cdc.gov/mmwr/preview/mmwrhtml/mm6332a1.htm?s_cid=mm6332a1_e) an estimated 55 million to 105 million people in the US  
 experience acute gastroenteritis caused by foodborne illness each year.  In Canada, 1 in every 8 people get sick due  
 to foodborne illnesses. The unfortunate truth is that most people (me included)  
 do not seek treatment which results in underreporting so the statistics are  
 likely far higher.  The Chicago  
 Department of Public Health (CDPH) and its civic partners launched [FoodBorne Chicago](https://www.foodbornechicago.org/) and used Twitter Tweets to try to track potential foodborne illnesses.

Using a [Twitterbot](http://en.wikipedia.org/wiki/Twitterbot) (an algorithm) plus a new online  
 complaint form. It searched for tweets  
 geo-located to Chicago and its surrounding suburbs that mentioned "food  
 poisoning." Human staff then read the tweets and marked them as relevant  
 or not relevant, to help improve upon the algorithm to learn what tweets to  
 pull in the future. Staff members then responded to the relevant tweets  
 themselves.  For example, the Twitterbot  
 would locate a tweet such as "Guess who's got food poisoning? This  
 girl!"  and the staff members would reply back with "That doesn't  
 sound good. Help us prevent this and report where you ate here (link to  
 Foodborne Chicago and a web form to report the illness)." Over 10 months, the Twitterbot helped the  
 department identify 133 restaurants for inspections and accounted for 6.9% of  
 the 1,941 health inspections of food establishments prompted by complaints  
 during the study period. For the 133 restaurants identified through the use of  
 the Twitterbot, 21 failed inspection and 33 passed with "critical or  
 serious" violations. Overall, Foodborne Chicago complaints contributed to  
 4% of the restaurants the city shut down for violations during the study  
 period.  Most importantly, the city  
 likely would have never caught the majority of those complaints without the  
 Twitterbot.

The use of Twitter has been widely discussed for tracking  
 Pandemics and other outbreaks and certainly with this example shows that will a  
 little work in developing the Twitterbot can help to identify foodborne  
 illness.  I wonder when we will see  
 Twitterbots start investigating topics such as Hand Hygiene and cleaning and  
 disinfection? Twitter just may be the tool to identify who is or who's not  
 washing their hands and where the dirtiest surfaces or unclean conditions  
 within hospitals and long-term care facilities are.  Talk about peer pressure on steroids!

*Bugging Off!*

Nicole

 

[View full post](https://www.viroxanimalhealth.com/resources/talkcleantome/2014/08/twitter-tracking-tummy-troubles.html)

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