Flu 9 System

For the presentation of this specific data (influenza), a systematic approach is far more powerful than a single-app approach.  The Flu 9 system attempts to be greater than the sum of its parts:   First, it 'reads' the input RSS feeds and automatically publishes them to the largest social networks (Facebook and Twitter currently).  This information networks with the millions of users and allows them to very easily and innately 'like', 'share', 'tweet', and 'comment' on information that is sent through these channels.  To increase personalized content, publications are on state-specific feeds.  This allows users to subscribe to their state and view status and images right in their facebook and twitter feeds.  By breaking the feed into states, this allows status updates to be systematically populated for each state and be utilized in Facebook and Twitter networks.   Secondly, once the user is alerted and wants to take action, they follow the link to the Flu 9 interface that gives them basic information, educational material, and the steps to follow to protect against or diagnose themselves with the flu. In this system, the digital infrastructure does as much work for the user until their input or choice is necessary, compared to presenting the user with a vast amount of data for them to sift and sort through to make some type of decision.  The user is pointed to more detailed information at the CDC and also given the ability to ask a question.The Flu 9 interface differs from a web page; wherein a web page is designed to organize data and present it to a general userbase, Flu 9 is designed to take information and cater and fit that information to a specific user (or set of users) based on their status and association, minimizing their workload; more personalized value, less raw information.  Utilizing the vast network of knowledge and current marketing (CDC/Flu.gov), this system would integrate in a symbiotic fashion instead of being yet another destination for flu information.   This app-system offers 3 key advantages: 1) a large and scalable distribution 2) personalized information to the user-base and 3) a decreased cost per informational unit.

Built With

• cdc-open-data