John Bailer, Bri Clements and Katherine Shockey look at a data visualization on a screen.

Student-developed web app explores overdose deaths in Butler County

Data depicted on the Overdose Deaths in Butler County web app shows a sharp increase in the use of fentanyl.

A new interactive web app promises to become an important component in battling the opioid crisis in Butler County by exploring the patterns of overdose deaths.

Using data from the Butler County Coroner’s office, statistics students at Miami University developed the Overdose Deaths in Butler County web app. The app documents select details about overdose deaths in Butler County between 2013 and 2017.

These details include the types of drugs found in the lab testing of overdose victims, the demographic profiles of victims and data about where the overdoses and deaths occurred.

For instance, yearly data on trends of drugs found in overdose victims show that fentanyl climbed substantially from 2013 to 2015, and then from 2016 to 2017 (see chart above).

More than 80 percent of Butler County overdose deaths during this time period were associated with opioids, according to the Butler County Coroner’s office.

According to Butler County Coroner Lisa Mannix, the app is intended to make it easier for law enforcement agencies, emergency responders and care providers to access the data they need to target prevention and treatment efforts.

“It is my goal to help reduce the number of fatal drug overdoses in Butler County, and this web app can be vital to achieving that goal,” said Mannix. “The more information made readily available, the easier it will be for our partners in the community to target those regions that need the assistance the most.”

The web app is available at and is accessible to the public.

John Bailer is University Distinguished Professor and chair of Miami’s department of statistics. He also is a member of the steering committee for the Center for Analytics and Data Sciences at Miami. The center provides a collaborative research space to develop real solutions for business and other organizations that partner with the university.

Bailer said his class was asked by the coroner to develop tools to explore the overdose death data. In the fall of 2017, multiple student teams worked on this project and presented their work at the end of the semester.

“While this was a great start, additional development was needed before this web app was ready for general sharing,” he said.

Bri Clements, a student in the data visualization class, worked on an independent study project this spring to do this finish work on the app that she and her classmate, Katherine Shockey, had developed. Both are majoring in statistics and analytics.

Clements explained the work she did on the project not only improved her coding skills, but it also gave her the opportunity to learn how to better communicate with clients, understand their wants and incorporate their feedback.

“I learned a great deal from this project, and it was a great pleasure to work on a nationwide issue that has especially impacted my local community,” she said.

Updating and maintaining the web app will be coordinated by Bailer, who will recruit students to participate. He explained that Clements added general code to allow for relatively easy incorporation of 2018 and 2019 data.

“We hope that this will help to communicate the impact and features of this epidemic,” Bailer said.

Written by Carole Johnson, Miami University News and Communications, and Heather Beattey Johnston, Associate Director of Research Communications, Office for the Advancement of Research and Scholarship, Miami University.

Data visualization from Overdose Deaths in Butler County web app. Photo of John Bailer, Bri Clements, and Katherine Shockey by Scott Kissell, Miami University Photo Services.

Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

This site uses Akismet to reduce spam. Learn how your comment data is processed.