Search for dissertations about: "injury surveillance systems"
Showing result 1 - 5 of 9 swedish dissertations containing the words injury surveillance systems.
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1. Safety promotion and injury surveillance with special focus on young people´s club sports : Challenges and possibilities
Abstract : Physical activity in youth has many benefits, but parallel to these benefits, sport related injuries pose considerable risks. It is important to public health to address sport related injuries, particularly those affecting young people, who comprise the majority of participants in organised sport in Sweden. READ MORE
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2. Assessing the effects of societal injury control interventions
Abstract : Injuries have emerged as one of the biggest public health issues of the 21th century. Yet, the causal effects of injury control strategies are often questioned due to a lack of randomized experiments. READ MORE
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3. Risk factors for injury in men´s professional football
Abstract : This thesis includes four papers based on three different prospective cohort studies on injury characteristics in men’s professional football. The same general methodology was used in all papers. Time-loss injuries and player individual exposure was registered for match and training separately. READ MORE
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4. A model for injury surveillance at the local level in Bangladesh : implications for low-income countries
Abstract : Injury is a major public health problem in Bangladesh as in other low income countries throughout the world, but one that has gained very little attention from policy makers or even health professionals, mainly due to the lack of valid injury information in these countries. The establishment of surveillance systems for injuries at the national and local levels for the purpose of measuring trends, detecting clusters, identifying injury related risk factors, and developing intervention strategies are now essential steps to be taken in low-income countries. READ MORE
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5. Advancing Endovascular Management of Thoracic Aortic Disease
Abstract : Despite technological advances and new endograft designs, endovascular treatment of the thoracic aorta still has important limitations. The aims of this thesis were to obtain further understanding on specific limitations in treating complex thoracic aortic pathologies with current technologies, to gain more insights into the hemodynamic consequences of thoracic endografting, and to explores the potential of deep learning algorithm-based automatic assessment of follow-up CTA imaging. READ MORE