Inaugural UPLOADS webinar – Injury prevention in led outdoor activities: what do we know and where are we going?

To date, the Understanding and Preventing Led Outdoor Accidents Data System (UPLOADS) has been used to report and analyse over 20,000 Australian led outdoor activity incidents, including injury, illness, psychosocial, and near miss incidents. In this webinar we will reflect on the UPLOADS program, data, and the insights it has provided for injury prevention and safety management. This will include discussion of a set of recurring incident contributory factors which appear consistently across the dataset. In addition, we will provide an update on the newly funded program of research which involves the development of a new risk assessment tool and refinement of current UPLOADS app and reporting process to form the Systems Thinking Accident and Risk System (STARS) digital platform. The intention is to deliver a more usable platform and streamlined processes to support prospective risk assessment and incident reporting and learning for led outdoor activities. To close the presentation we will provide details on how providers can get involved to assist in designing and testing the new tool.

When:  10:30am (AEST) Wednesday 10 June, 2026

Where: Online 

Registration: https://uscsurveys.syd1.qualtrics.com/jfe/form/SV_0U26mhuLUcokwGq 

Contact the project team: uploads@usc.edu.au 

More information on the UPLOADS project: https://uploadsproject.org/

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UPLOADS National Incident Dataset: Concussion-Related Incidents

In this infographic, we analyse concussion-related incidents reported to the national incident dataset from September 2018 until January 2026.

The three most common activities where concussion-related incidents occurred were bushwalking (n = 21), campsite (n = 14), and down time (n = 11). The top three contributory factors for concussion-related incidents were participant – decisions (n = 31), environment – terrain (n = 22), and participant – experience (n = 15).

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UPLOADS National Incident Dataset: Head and Face Incidents

In this infographic we analyse head and face incidents reported to the national incident dataset from September 2018 until January 2026.

The three most common activities where face and head incidents occurred were camping / campsites (n = 243), free time / down time (n = 204), and bushwalking (n = 183). The top three contributory factors for head and face incidents were participant – decisions (n = 222), environment – terrain (n = 175), and resources – equipment/clothing (n = 133).

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UPLOADS National Incident Dataset: Minor Injuries

In this infographic we analyse minor injuries reported to the national incident dataset between September 2018 and 30 June 2025.

The three most common sites of minor injury were the hand and fingers (n = 2104), knee (n = 1088), and face (n = 734). Of all minor injury incidents, the top three activities where they occurred were walking/running (n = 2526), camping (n = 1245), and campcraft (n = 1100).

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UPLOADS 2023/2024 Annual Report

This annual report provides an overview of the incidents reported to the National Incident Database (NID) for the 12-month period of September 14, 2023 to September 13, 2024. The report describes: the incident rates per incident type and activity; the severity of the reported incidents; an overview of the reported injuries and illnesses sustained; and the network of contributory factors reported as playing a role in incident causation. The report also represents a comparison between key variables from the current dataset and the previous UPLOADS annual reports.

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UPLOADS national incident dataset: illness

In this infographic we analyse illness incidents reported to the national incident dataset between 2018 and 2024.

A total of 4,047 illness incidents were reported during this time, most of which were rated minor in severity and could be managed with local first aid. The most frequently occurring contributory factors at each level of the system are presented.

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UPLOADS national incident dataset: injuries

In this infographic we analyse injuries reported to the national incident dataset between 2018 and 2024.

A total of 10,531 injuries were reported during this time, most of which were rated minor in severity and could be managed with local first aid. The most frequently occurring contributory factors at each level of the system are presented.

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UPLOADS national incident dataset: near miss incidents 

In this infographic we analyse near miss incidents reported to the national incident dataset. Near miss incidents are those with the potential to result in adverse outcomes but fail to do so. Adverse outcomes include negative impacts on people involved in activities such as injuries, illnesses, or psychosocial impacts.

A total of 1,116 near miss incidents have been reported since 2018. Almost half of these occurred during walking/running, harness/outdoors, and fresh water activities. Protective factors preventing incidents from resulting in adverse outcomes are discussed for each activity type.

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UPLOADS national incident dataset: transport and logistics 

In this infographic we analyse incidents reported to the national incident dataset involving transport and logistics. This includes the movement of people, goods or equipment to/from led outdoor activity venues or site locations, and loading/unloading duties.

A total of 396 incidents have been reported since 2018, the majority of which were considered minor in severity. Information on the two most common incident types, and the three most frequently reported contributory factors are presented.

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UPLOADS 2022/2023 Annual Report

This annual report provides an overview of the incidents reported to the National Incident Database (NID) for the 12-month period of September 14, 2022 to September 13, 2023. The report describes: the incident rates per incident type and activity; the severity of the reported incidents; an overview of the reported injuries and illnesses sustained; and the network of contributory factors reported as playing a role in incident causation. The report also represents a comparison between key variables from the current dataset and the previous UPLOADS annual reports.

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