This site uses cookies that are essential for our site to work. We would also like to use non-essential cookies to help us improve your browsing experience and help make this website better, by collecting and reporting information on how you use our site.
ResourcesData Gallery

This is what the flu looks like: Visualizing the 2017-2018 influenza season in Massachusetts

By Simon Ioffe and Nick Stepro
Posted:
Healthcare Analytics Population Health Management
This is what the flu looks like

The 2017–2018 influenza season was the worst on record since the 2009 H1N1 swine flu. The CDC estimates 45 million people nationally caught the flu, with 810,000 hospitalizations and 61,000 deaths.

In 2020, viral outbreaks are on most of our minds. While mortality and transmission rates of the novel coronavirus (COVID-19) far exceeds those of the 2017–2018 flu, a look backwards can still be instructive. Even with its reduced virality, and the presence/distribution of vaccines, the 2017–2018 outbreak was explosive.

Looking at Massachusetts transmissions using medical claims data, we visualize not just the growth rate of total cases but the algae-like “blooms” of infections. A few small clusters at thanksgiving bloom into thousands of cases by new years, each interaction a potential for transmission. For the purposes of illustration, the artist draws a linkage between each new case and the closest person that had a diagnosis four days prior. This simulates the transmission graph as a social network of sorts, and highlights the importance of current calls for “social distancing” as we deal with an ever more deadly virus.

Details

D3.js, with Illustrator
Data sourced from Commercial, Medicare and Medicaid claims from Arcadia Benchmark Database

Download a high-resolution version of this data visualization.