Analysing Food Outbreak Apps

The nEmesis Platform Scans Tweet Complaints to Prevent Food Poisoning

The nEmesis app is an innovative platform that makes use of consumer social media complains to prevent future food poisoning outbreaks. The app carefully keeps track of mentions of food and eateries through catch phrases to pinpoint where food poisoning originates from to eliminate possible spreading.

Often times consumers that become sick from eating out take to social media to vent their stresses. The nEmesis app -- based off of the medical term 'emesis' which means puking -- keeps track of food-related tweets specifying in food poisoning scenarios. The app is able to track these tweets based off of food poisoning-related terminology such as "stomachache," "vomit" and "#upsetstomach." When enough tweets about the same topic occur, nEmsis' algorithm sources where the users are located to attempt to pinpoint the eatery at fault.
Trend Themes
1. Social Media Monitoring - Opportunity for businesses to monitor social media platforms for consumer complaints and feedback.
2. Big Data Analytics - Potential to analyze large amounts of data from social media platforms to identify patterns and trends.
3. Preventive Medicine - Using technology to proactively prevent food poisoning outbreaks through early detection.
Industry Implications
1. Food and Beverage - Opportunity for restaurants and food establishments to utilize social media monitoring tools to prevent food-related issues.
2. Healthcare - Integration of social media data into the healthcare industry to improve prevention and public health efforts.
3. Technology - Growing demand for innovative apps and platforms that utilize big data analytics to address various consumer concerns.

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