Aviation is a critical component of life in Alaska, connecting communities off the road system across the state. Crash-related fatalities in the state are well understood and many intervention efforts have been aimed at reducing aircraft crashes and resulting fatalities; however, nonfatal injuries among workers who perform aviation-related duties have not been studied in Alaska. This study aimed to characterize hospitalized nonfatal injuries among these workers using data from the Alaska Trauma Registry. During 2000–2013, 28 crash-related and 89 non-crash injuries were identified, spanning various occupational groups. Falls were a major cause of injuries, accounting for over half of non-crash injuries. Based on the study findings, aviation stakeholders should review existing policies and procedures regarding aircraft restraint systems, fall protection, and other injury prevention strategies. To supplement these findings, further study describing injuries that did not result in hospitalization is recommended.

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Along with the many benefits of urban agriculture comes the possible exposure to contaminants not typically seen in rural soils. Through the use of standard laboratory analyses (ICP-AES and CVAAS) and a field-portable X-ray fluorescence spectrometer (XRF) calibrated for soil analysis, this study quantified contamination levels at urban agricultural sites throughout New Orleans, Louisiana. The results of the standard laboratory analyses were compared to the results from the XRF. We collected soil samples at 27 urban and suburban farm and garden sites from the Greater New Orleans area. We analyzed the soil samples for arsenic, cadmium, chromium, cobalt, copper, mercury, lead, nickel, and zinc using the XRF and standard methods. Most sites had median concentrations significantly below Louisiana's soil standards. Paired soil samples showed XRF results were significantly higher than laboratory results for all metals but copper. Only lead (ρ=0.82, p<0.0001) and zinc (ρ=0.78, p=0.0001) were highly correlated. Poor correlation of results between XRF and standard methods make the standard methods preferred.