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ILINet Flu Surveillance Data Interactive Visualization

✓ Published2🌍 Public
Yyuzhang21
Last edited Oct 25, 2019
Created on Oct 17, 2019

This interactive visualization explores ILINet flu surveillance data, showing metrics like ILI percentage and total patients across US states, weeks, and years. It combines multiple views: a US map displaying state-level averages, a bar chart of the top 10 states, scatter plots, and a line chart showing trends by year, all with dropdown controls to switch data fields. The React-based app uses D3 v5 modules including d3.csv for data loading, d3.scaleOrdinal for coloring, d3.geoAlbers and d3.geoPath for map projection, and d3.line with curveCardinal for the time-series curves. The data originates from CDC FluView Interactive.

AI-generated description

This visual use D3.js and React to display a scatter plot using multiple channels and add a menu to choose different fields in the dataset for visualization. The Data used here is the ILINet Flu Surveillance Dataset.

In this ILINet Flu Surveillance dataset, we have ILITOTAL to indicate the number of patients recorded by the network. The %UNWEIGHTED ILI is actually the ratio to total number of patients served. Clearly this value could be large if the base numbers are small. In the single plot, we show all data by the week of the year since 2015. Each data point represent a state on the same week, different color indicates different years. We also assigned the ILITOTAL number to the size channel, which maps the bigger size to larger number of patients. From the plot we can see that the big size mostly happens at the end of the year till at the beginning of the year, which is the flu season. Although the %ILI data indicates similar results, the size gives more sharper results. Also the points at the bottom of the weeks are all smaller, which allows us to visualize the bigger patients’ number more easily on the plot, it happens on both end of each week’s line because the data with smaller number of patient are generally ignorable.

This plot is comparable with original visualization that uses the vega-lite-api.

The original data comes from the webpage: CDC FluView Interactive.

MIT Licensed

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