Developing an interactive dashboard for enhanced monitoring of agricultural injuries

Agricultural injuries remain a major concern in North America, with a fatal injury rate of 19.5 deaths per 100,000 workers in the United States. Numerous research efforts have sought to compile and analyze records of agricultural-related injuries and fatalities at a national level, utilizing resources ranging from newspaper clippings and hospital records to Emergency Medical System (EMS) data, death certifications, surveys, and other multiple sources. A systematic review on existing surveillance systems in North America has been conducted. However, there remains a data visualization gap in the monitoring and analyzing of agricultural injury data. The existing database in agricultural safety and health are often fragmented, lack user engagement, and do not effectively communicate injury trends. The primary goal of this research is to create an agricultural injury data dashboard that documents farm-related injury databases in Illinois and to evaluate the effectiveness and usefulness of the dashboard design. This injury dashboard has been designed based on comprehensive occupational injury codes capable of analyzing major sources of farm-related injuries and injury trends. A survey has been conducted to evaluate the effectiveness and usability of the dashboard. The findings contributed to validating and improving a surveillance dashboard. This study provides an effective method to manage and maintain agricultural injury surveillance data.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Agricultural & Biological Engr

Grantor

University of Illinois Urbana-Champaign

Year dc:date

2025

Author dc:creator

• Li, Sihan

Contributors dc:contributor

• Issa, Salah
• Davidson, Paul
• Gorucu, Serap
• Schneider, Jodi
• Twidale, Michael

• Agricultural Injuries
• Agricultural Safety
• Occupational Safety
• Injury Surveillance
• Newspaper Clippings
• Survey
• Emergency Medical System
• Data Visualization
• Dashboard Design
• Dashboard Evaluation
• Usability
• Effectiveness Assessment

Statement dc:rights

• Copyright 2025 Sihan Li

Language dc:language

en, eng

Handle dc:identifier

https://hdl.handle.net/2142/130190

OAI record oai:identifier

https://www.ideals.illinois.edu/oai-pmh?verb=GetRecord&metadataPrefix=etdms&identifier=oai%3Awww.ideals.illinois.edu%3A2142%2F130190