Data Science: new approaches and applications to injury prevention
Data Science: new approaches and applications to injury prevention

Data Science: new approaches and applications to injury prevention

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17 min
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Dr Carl Bonander, Karlstad University, Sweden, is an injury prevention researcher developing innovative applications of data science to solve real world problems. A self-described skeptic his new discoveries are driven by his search for answers to the question "why". Listen to the podcast and read some related articles published by Injury Prevention: - Compared with what? Estimating the effects of injury prevention policies using the synthetic control method - https://injuryprevention.bmj.com/content/24/Suppl_1/i60 - Can the provision of a home help service for the elderly population reduce the incidence of fall-related injuries? A quasi-experimental study of the community-level effects on hospital admissions in Swedish municipalities - https://injuryprevention.bmj.com/content/22/6/412 - The effect of the transition from the ninth to the tenth revision of the International Classification of Diseases on external cause registration of injury morbidity in Sweden - https://injuryprevention.bmj.com/content/21/3/189 Please subscribe via all podcast platforms, including Apple Podcasts, Google Podcasts, Stitcher and Spotify. If you enjoy our podcast, please consider leaving us a review or a comment on the Injury Prevention Podcast iTunes page (https://podcasts.apple.com/gb/podcast/injury-prevention-podcast/id942473946). Thank you for listening.

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