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International Journal of Wildland Fire International Journal of Wildland Fire Society
Journal of the International Association of Wildland Fire
RESEARCH ARTICLE (Open Access)

The price of doing business: severe injuries in wildland firefighters in the United States by activity performed and hazard encountered

Erin J. Belval https://orcid.org/0000-0001-5895-5393 A * , Bradley M. Pietruszka https://orcid.org/0000-0001-8612-4132 A and Alex Viktora B
+ Author Affiliations
- Author Affiliations

A USDA Forest Service, Rocky Mountain Research Station, Fort Collins, Colorado, United States of America.

B USDA Forest Service Fire and Aviation Management, Doctrine, Learning, and Risk Management Branch, Tucson, Arizona, United States of America.

* Correspondence to: erin.belval@usda.gov

International Journal of Wildland Fire 34, WF25038 https://doi.org/10.1071/WF25038
Submitted: 26 February 2025  Accepted: 13 May 2025  Published: 12 June 2025

© 2025 The Author(s) (or their employer(s)). Published by CSIRO Publishing on behalf of IAWF. This is an open access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND)

Abstract

Background

Wildland firefighters are exposed to hazards when working which can, and do, result in serious injury or death. Understanding the activities in which firefighters are engaged when they are injured, the hazards to which they were exposed during that activity and the resulting injury severity is critical to manage the risk of serious injury to firefighters.

Aims

This study aims to provide an assessment of wildland firefighter injuries.

Methods

A set of 435 severe injuries in wildland firefighters in the United States from 2019 to 2023 was classified by activity being performed, hazard encountered and injury severity. Statistical summaries were used to contextualize the data and to examine the frequency and severity of these injuries. Proportional odds models tested the impact of activity, region and fire complexity on injury severity.

Key results

Aviation activities are associated with higher injury severity; there is no statistically significant difference in injury severity among other activities. Region and fire type do not impact injury severity. Injury frequency and severity vary among hazards and associated activities.

Conclusions and Implications

Given the hazard mitigations in place, reducing injury frequency and severity may be challenging without clearly defined agency level risk tolerances.

Keywords: fire suppression, hazards, occupational health and safety, risk, safety, wilderness medicine, wildfire, wildland firefighter.

References

Agresti A (2018) ‘An Introduction to Categorical Data Analysis.’ 3rd edn. (Wiley: New York, NY, USA)

Aisbett B, Wolkow A, Sprajcer M, Ferguson SA (2012) “Awake, smoky, and hot”: providing an evidence-base for managing the risks associated with occupational stressors encountered by wildland firefighters. Applied Ergonomics 43(5), 916-925.
| Crossref | Google Scholar | PubMed |

Andrade SR, Walsh HS (2023) Machine learning framework for Hazard Extraction and Analysis of Trends (HEAT) in wildfire response. Safety Science 167, 106252.
| Crossref | Google Scholar |

Azadeh-Fard N, Schuh A, Rashedi E, Camelio JA (2015) Risk assessment of occupational injuries using Accident Severity Grade. Safety Science 76, 160-167.
| Crossref | Google Scholar |

Baybutt P (2018) Guidelines for designing risk matrices. Process Safety Progress 37(1), 49-55.
| Crossref | Google Scholar |

Belval EJ, Stonesifer CS, Calkin DE (2020) Fire suppression resource scarcity: current metrics and future performance indicators. Forests 11(2), 217.
| Crossref | Google Scholar |

Belval EJ, Short KC, Stonesifer CS, Calkin DE (2022) A Historical Perspective to Inform Strategic Planning for 2020 End-of-Year Wildland Fire Response Efforts. Fire 5(2), 35.
| Crossref | Google Scholar |

Bogart S (2024) ‘SankeyMATIC’. Available at https://sankeymatic.com/

Britton C, Lynch CF, Ramirez M, Torner J, Buresh C, Peek-Asa C (2013a) Epidemiology of injuries to wildland firefighters. The American Journal of Emergency Medicine 31(2), 339-345.
| Crossref | Google Scholar | PubMed |

Britton C, Lynch CF, Torner J, Peek-Asa C (2013b) Fire characteristics associated with firefighter injury on large federal wildland fires. Annals of Epidemiology 23(2), 37-42.
| Crossref | Google Scholar | PubMed |

Britton C, Ramirez M, Lynch CF, Torner J, Peek-Asa C (2013c) Risk of injury by job assignment among federal wildland firefighters, United States, 2003–2007. International Journal of Occupational and Environmental Health 19(2), 77-84.
| Crossref | Google Scholar | PubMed |

Burnham KP, Anderson DR (2004) Multimodel inference: understanding AIC and BIC in model selection. Sociological Methods & Research 33(2), 261-304.
| Crossref | Google Scholar |

Butler C, Marsh S, Domitrovich JW, Helmkamp J (2017) Wildland firefighter deaths in the United States: a comparison of existing surveillance systems. Journal of Occupational and Environmental Hygiene 14(4), 258-270.
| Crossref | Google Scholar | PubMed |

Calkin DE, O’Connor CD, Thompson MP, Stratton R (2021) Strategic Wildfire Response Decision Support and the Risk Management Assistance Program. Forests 12(10), 1407.
| Crossref | Google Scholar |

Campbell MJ, Page WG, Dennison PE, Butler BW (2019) Escape Route Index: a spatially-explicit measure of wildland firefighter egress capacity. Fire 2(3), 40.
| Crossref | Google Scholar |

Campbell MJ, Gannon BM, Rahman O, Stratton RD, Dennison PE (2024) Wildland firefighter estimated ground evacuation time -modeling to support risk-informed decision-making. Fire 7(8), 292.
| Crossref | Google Scholar |

Christensen RHB (2023) ordinal—Regression Models for Ordinal Data. Manual R package version 2023.12-4. Available at https://cran.r-project.org/web/packages/ordinal/ordinal.pdf

Duijm NJ (2015) Recommendations on the use and design of risk matrices. Safety Science 76, 21-31.
| Crossref | Google Scholar |

Dunn CJ, O’Connor CD, Reilly MJ, Calkin DE, Thompson MP (2019) Spatial and temporal assessment of responder exposure to snag hazards in post-fire environments. Forest Ecology and Management 441, 202-214.
| Crossref | Google Scholar |

Gordon H, Larivière M (2014) Physical and psychological determinants of injury in Ontario forest firefighters. Occupational Medicine 64(8), 583-588.
| Crossref | Google Scholar | PubMed |

Harrell FE (2001) ‘Regression Modeling Strategies With Applications to Linear Models, Logistic Regression, and Survival Analysis.’ 1st edn. (Springer: New York, NY, USA)

Held MB, Ragland MR, Wood S, Pearson A, Pearson SW, Chenevert O, Granberg RM, Verble RM (2024) Environmental health of wildland firefighters: a scoping review. Fire Ecology 20(1), 16.
| Crossref | Google Scholar |

Hwang J, Chong N-S, Zhang M, Agnew RJ, Xu C, Li Z, Xu X (2023) Face-to-face with scorching wildfire: potential toxicant exposure and the health risks of smoke for wildland firefighters at the wildland-urban interface. The Lancet Regional Health - Americas 21, 100482.
| Crossref | Google Scholar | PubMed |

Jensen RC (2020) ‘Risk-Reduction Methods for Occupational Safety and Health.’ 2nd edn. (John Wiley & Sons: Hoboken, NJ, USA)

LANDFIRE Canopy Height layer (2024) U.S. Department of Interior, Geological Survey, and U.S. Department of Agriculture. [Online]. Available at https://landfire.gov/fuel/ch [accessed 27 May 2025].

Levine ES (2012) Improving risk matrices: the advantages of logarithmically scaled axes. Journal of Risk Research 15(2), 209-222.
| Crossref | Google Scholar |

McCullagh P (1980) Regression models for ordinal data (with discussion). Journal of the Royal Statistical Society, Series B 42(2), 109-142.
| Crossref | Google Scholar |

Moody VJ, Purchio TJ, Palmer CG (2019) Descriptive analysis of injuries and illnesses self-reported by wildland firefighters. International Journal of Wildland Fire 28(6), 412.
| Crossref | Google Scholar |

National Interagency Coordination Center (2020) National Interagency Coordination Center Wildland Fire Summary and Statistics Annual Report 2019. (National Interagency Coordination Center: Boise, ID)

National Interagency Coordination Center (2021) National Interagency Coordination Center Wildland Fire Summary and Statistics Annual Report 2020. (National Interagency Coordination Center: Boise, ID)

National Interagency Coordination Center (2022) National Interagency Coordination Center Wildland Fire Summary and Statistics Annual Report 2021. (National Interagency Coordination Center: Boise, ID)

National Interagency Coordination Center (2023) National Interagency Coordination Center Wildland Fire Summary and Statistics Annual Report 2022. (National Interagency Coordination Center: Boise, ID)

National Interagency Coordination Center (2024) National Interagency Coordination Center Wildland Fire Summary and Statistics Annual Report 2023. (National Interagency Coordination Center, Boise: ID)

National Interagency Fire Center (2024) Interagency Standards for Fire and Fire Aviation Operations. (National Interagency Fire Center: Boise, ID)

Navarro KM, Kleinman MT, Mackay CE, Reinhardt TE, Balmes JR, Broyles GA, Ottmar RD, Naher LP, Domitrovich JW (2019) Wildland firefighter smoke exposure and risk of lung cancer and cardiovascular disease mortality. Environmental Research 173, 462-468.
| Crossref | Google Scholar | PubMed |

Nguyen D, Belval EJ, Wei Y, Short KC, Calkin DE (2024) Dataset of United States Incident Management Situation Reports from 2007 to 2021. Scientific Data 11(1), 23.
| Crossref | Google Scholar | PubMed |

Owen C (2017) ‘Human Factors Challenges in Emergency Management: Enhancing Individual and Team Performance in Fire and Emergency Services.’ 1st edn. (Taylor and Francis: London, UK)

Page WG, Freeborn PH, Butler BW, Jolly WM (2019) A classification of US wildland firefighter entrapments based on coincident fuels, weather, and topography. Fire 2(4), 52.
| Crossref | Google Scholar |

R Core Team (2024) ‘R: A Language and Environment for Statistical Computing.’ (R Foundation for Statistical Computing: Vienna, Austria)

Risk Management Council (2020) ‘Operational Risk Management Guide.’ (USDA Forest Service: Washington, DC, USA)

Rodríguez y Silva F, O’Connor CD, Thompson MP, Molina Martínez JR, Calkin DE (2020) Modelling suppression difficulty: current and future applications. International Journal of Wildland Fire 29(8), 739.
| Crossref | Google Scholar |

Schmidt MS (2016) Making sense of risk tolerance criteria. Journal of Loss Prevention in the Process Industries 41, 344-354.
| Crossref | Google Scholar |

Short KC (2022) ‘Spatial Wildfire Occurrence Data for the United States, 1992-2020 [FPA_FOD_20221014].’ 6th edn. (Forest Service Research Data Archive: Fort Collins, CO)

St. Denis LA, Short KC, McConnell K, Cook MC, Mietkiewicz NP, Buckland M, Balch JK (2023) All-hazards dataset mined from the US National Incident Management System 1999–2020. Scientific Data 10(1), 112.
| Crossref | Google Scholar | PubMed |

Stonesifer CS, Calkin DE, Thompson MP, Kaiden JD (2014) Developing an aviation exposure index to inform risk-based fire management decisions. Journal of Forestry 112(6), 581-590.
| Crossref | Google Scholar |

Stonesifer CS, Calkin DE, Thompson MP, Belval EJ (2021) Is This Flight Necessary? The Aviation Use Summary (AUS): A Framework for Strategic, Risk-Informed Aviation Decision Support. Forests 12(8), 1078.
| Crossref | Google Scholar |

Thompson M, Lauer C, Calkin D, Rieck J, Stonesifer C, Hand M (2018) Wildfire response performance measurement: current and future directions. Fire 1(2), 21.
| Crossref | Google Scholar |

Thompson MP, Gannon BM, Caggiano MD (2021) Forest Roads and Operational Wildfire Response Planning. Forests 12(2), 110.
| Crossref | Google Scholar |

Thompson MP, O’Connor CD, Gannon BM, Caggiano MD, Dunn CJ, Schultz CA, Calkin DE, Pietruszka B, Greiner SM, Stratton R, Morisette JT (2022) Potential operational delineations: new horizons for proactive, risk-informed strategic land and fire management. Fire Ecology 18(1), 17.
| Crossref | Google Scholar |

Thompson MP, Belval EJ, Bayham J, Calkin DE, Stonesifer CS, Flores D (2023) Wildfire response: a system on the brink? Journal of Forestry 121(2), 121-124.
| Crossref | Google Scholar |

USDA Forest Service Strategic Analytics Branch (SAB) (2025) Risk Management Assistance (RMA) Dashboard. Available at https://experience.arcgis.com/experience/f9d7f7f920494c3db43a23a8dffe4664 [accessed 25 February 2025]

U.S. Forest Service (2024) Natural Resource Manager (NRM) Forest Activity Tracking System (FACTS). Available at https://data.fs.usda.gov/geodata/edw/datasets.php?dsetParent=Activities

Wickham H (2016) ‘ggplot2:Elegant Graphics for Data Analysis.’ (Springer-Verlag: New York, NY, USA)

Wildland Fire Decision Support System (WFDSS) (2025) About WFDSS. Available at https://wfdss.usgs.gov/wfdss/WFDSS_About.shtml [accessed 27 May 2025]