My Role: UX research; quantitative data analysis; data visualization; web design; publication editor
Tools: Tableau, React, Figma
Team: Kathleen Parsons, Xuan Song, Qiming Zheng, Yuwen Li
Length: 10 Weeks
Awarded as one of the best projects in the class
National Enteric Outbreaks
CASE STUDY
Explore and learn the patterns of reported enteric disease outbreaks in the US from 2009-2017
INTRODUCTION
So what is an enteric disease? And why is it important to learn about?
Enteric disease are caused by microorganisms like viruses, bacteria and parasites that cause gastrointestinal illnesses. These diseases most frequently result from consuming contaminated food or water and some can spread from person to person. It may cause diarrhea, stomachache, fever, headaches, muscle pain, and dehydration. Unfortunately, some can be severe enough to even lead to death.
PROJECT GOALS
The goal is to create an interactive web-based data visualization tool that allows the general population to explore and learn about the history of enteric illness outbreaks in the U.S., exploring questions like:
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What season are these outbreaks occurring the most?
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Where are they happening the most in the U.S.?
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What setting are they happening in?
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What reported food is the biggest culprit of spreading illness?
OUTCOME
PRESENTATION
Try it out yourself? You can find the data visualizations website as well as article here:
THE DATASET
We used open-source data collected from the National Outbreak Reporting System (NORS) within the Centers for Disease Control and Prevention (CDC).
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46,000 rows, 14 variables (3 measures)
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Based on enteric outbreaks that occurred in years 2009 - 2017
Example of single row below, one row equals one reported outbreak.
Process coming soon...
WHO ARE WE TARGET ON?