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Currently accepted at: JMIR Formative Research

Date Submitted: Feb 14, 2019
Open Peer Review Period: Feb 15, 2019 - Feb 15, 2019
Date Accepted: May 25, 2019
(closed for review but you can still tweet)

This paper has been accepted and is currently in production.

It will appear shortly on 10.2196/13621

The final accepted version (not copyedited yet) is in this tab.

Redesigning a Non-Traditional Sentinel Surveillance System for Collecting and Disseminating Near Real-Time Agricultural Injury Reports

  • Bryan Weichelt; 
  • Tomi Heimonen; 
  • Serap Gorucu; 
  • Emily Redmond; 
  • Josef Vechinski; 
  • Kurt Pflughoeft; 
  • Casper Bendixsen; 
  • Marsha Salzwedel; 
  • Erika Scott; 
  • Kang Namkoong; 
  • Mark A Purschwitz; 
  • Risto Rautiainen; 
  • Dennis Murphy



Injury data and reports provide valuable information for both public and private organizations to guide programming, policy, and prevention, but in the increasingly complex and dangerous industry of U.S. agriculture, the injury surveillance needed to produce this data is lacking. To address the gap, was established in 2015. The system includes fatal and non-fatal injury cases derived from publicly available reports, including occupational and non-occupational injuries, occurring in the agricultural, forestry and fishing (AFF) industries.


To develop a stakeholder-engaged redesign of the interactive, up-to-date and publicly available dataset of U.S. AFF injury and fatality reports.


Instructor-led heuristic evaluations within a 15-student undergraduate course, data from 8 student participants of lab-based usability testing, and 2016 and 2017 user surveys, coupled with input from the national steering committee informed 2018 development priorities. An interdisciplinary team employed an agile methodology of two-week sprints developing in and SQL to deliver an intuitive frontend and a flexible yet structured backend including a case report input form for capturing >50 data points on each injury report.

Results: produced 17,714 page views from 43 countries in 2018 captured via Google Analytics, while 623 injury reports were coded and loaded, totaling >31,000 data points. Newly designed features include customizable email alerts, interactive map, and expanded search and filter options. User groups such as the Bureau of Labor Statistics and the Agricultural Safety and Health Council of America have endorsed the system within their networks. News media have cited or referenced the system in national outlets such as the New York Times, Politico, and The Washington Post.


The new system’s features, functions, and improved data granularity have sparked innovative lines of research and increased collaborative interest domestically and abroad. It is anticipated that this non-traditional sentinel surveillance system and its dataset will continue to serve many purposes for public and private agricultural safety and health stakeholders in the years to come.  


Please cite as:

Weichelt B, Heimonen T, Gorucu S, Redmond E, Vechinski J, Pflughoeft K, Bendixsen C, Salzwedel M, Scott E, Namkoong K, Purschwitz MA, Rautiainen R, Murphy D

Redesigning a Non-Traditional Sentinel Surveillance System for Collecting and Disseminating Near Real-Time Agricultural Injury Reports

JMIR Formative Research. (forthcoming/in press)

DOI: 10.2196/13621


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