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Predicting drowning from sea and weather forecasts: development and validation of a model on surf beaches of southwestern France.

Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention

Tellier É, Simonnet B, Gil-Jardiné C, Lerouge-Bailhache M, Castelle B, Salmi R.
PMID: 33692084
Inj Prev. 2021 Mar 10; doi: 10.1136/injuryprev-2020-044092. Epub 2021 Mar 10.

OBJECTIVE: To predict the coast-wide risk of drowning along the surf beaches of Gironde, southwestern France.METHODS: Data on rescues and drownings were collected from the Medical Emergency Center of Gironde (SAMU 33). Seasonality, holidays, weekends, weather and metocean conditions...

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Tellier É, Simonnet B, Gil-Jardiné C, et al. Predicting drowning from sea and weather forecasts: development and validation of a model on surf beaches of southwestern France. Inj Prev. 2021;doi: 10.1136/injuryprev-2020-044092.
Tellier, �. �., Simonnet, B., Gil-Jardiné, C., Lerouge-Bailhache, M., Castelle, B., & Salmi, R. (2021). Predicting drowning from sea and weather forecasts: development and validation of a model on surf beaches of southwestern France. Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention, . https://doi.org/10.1136/injuryprev-2020-044092
Tellier, Éric, et al. "Predicting drowning from sea and weather forecasts: development and validation of a model on surf beaches of southwestern France." Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention vol. (2021). doi: https://doi.org/10.1136/injuryprev-2020-044092
Tellier É, Simonnet B, Gil-Jardiné C, Lerouge-Bailhache M, Castelle B, Salmi R. Predicting drowning from sea and weather forecasts: development and validation of a model on surf beaches of southwestern France. Inj Prev. 2021 Mar 10; doi: 10.1136/injuryprev-2020-044092. Epub 2021 Mar 10. PMID: 33692084.
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Quantitative characterization of AEB pulses across the modern fleet.

Traffic injury prevention

Graci V, Maltenfort M, Schneider M, Griffith M, Seacrist T, Arbogast KB.
PMID: 34477482
Traffic Inj Prev. 2021 Sep 03;1-6. doi: 10.1080/15389588.2021.1961227. Epub 2021 Sep 03.

OBJECTIVE: Characteristics of specific Automatic Emergency Braking (AEB) pulses can result in increased motion of the occupant, which can lead to the occupant being out-of-position such that when a crash occurs protection may be compromised. Quantifying these variations across...

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Graci V, Maltenfort M, Schneider M, et al. Quantitative characterization of AEB pulses across the modern fleet. Traffic Inj Prev. 2021;1-6doi: 10.1080/15389588.2021.1961227.
Graci, V., Maltenfort, M., Schneider, M., Griffith, M., Seacrist, T., & Arbogast, K. B. (2021). Quantitative characterization of AEB pulses across the modern fleet. Traffic injury prevention, 1-6. https://doi.org/10.1080/15389588.2021.1961227
Graci, V, et al. "Quantitative characterization of AEB pulses across the modern fleet." Traffic injury prevention vol. (2021): 1-6. doi: https://doi.org/10.1080/15389588.2021.1961227
Graci V, Maltenfort M, Schneider M, Griffith M, Seacrist T, Arbogast KB. Quantitative characterization of AEB pulses across the modern fleet. Traffic Inj Prev. 2021 Sep 03;1-6. doi: 10.1080/15389588.2021.1961227. Epub 2021 Sep 03. PMID: 34477482.
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Three Es of linked injury data: Episodes, Encounters and Events.

Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention

Vallmuur K, McCreanor V, Cameron C, Watson A, Shibl R, Banu S, McPhail SM, Warren J.
PMID: 33910970
Inj Prev. 2021 Oct;27(5):479-489. doi: 10.1136/injuryprev-2020-044098. Epub 2021 Apr 28.

BACKGROUND: Treatment and recovery times following injury can be lengthy, comprising multiple interactions with the hospital system for initial acute care, subsequent rehabilitation and possible re-presentation due to complications.AIMS: This article aims to promote the use of consistent terminology...

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Vallmuur K, McCreanor V, Cameron C, et al. Three Es of linked injury data: Episodes, Encounters and Events. Inj Prev. 2021;27(5):479-489doi: 10.1136/injuryprev-2020-044098.
Vallmuur, K., McCreanor, V., Cameron, C., Watson, A., Shibl, R., Banu, S., McPhail, S. M., & Warren, J. (2021). Three Es of linked injury data: Episodes, Encounters and Events. Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention, 27(5), 479-489. https://doi.org/10.1136/injuryprev-2020-044098
Vallmuur, Kirsten, et al. "Three Es of linked injury data: Episodes, Encounters and Events." Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention vol. 27,5 (2021): 479-489. doi: https://doi.org/10.1136/injuryprev-2020-044098
Vallmuur K, McCreanor V, Cameron C, Watson A, Shibl R, Banu S, McPhail SM, Warren J. Three Es of linked injury data: Episodes, Encounters and Events. Inj Prev. 2021 Oct;27(5):479-489. doi: 10.1136/injuryprev-2020-044098. Epub 2021 Apr 28. PMID: 33910970.
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U.S. vehicle occupancy trends relevant to future automated vehicles and mobility services.

Traffic injury prevention

Klinich KD, Leslie A, Hariya S, Flannagan CAC, Reed MP, Hallman J.
PMID: 34605723
Traffic Inj Prev. 2021 Oct 04;1-6. doi: 10.1080/15389588.2021.1964491. Epub 2021 Oct 04.

OBJECTIVE: Identifying current occupant travel patterns can inform decision making regarding the design, regulation, and occupant protection systems helpful for automated vehicle systems and mobility services.METHODS: Two travel data sets were analyzed to quantify travel patterns: the 2017 National...

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Klinich KD, Leslie A, Hariya S, et al. U.S. vehicle occupancy trends relevant to future automated vehicles and mobility services. Traffic Inj Prev. 2021;1-6doi: 10.1080/15389588.2021.1964491.
Klinich, K. D., Leslie, A., Hariya, S., Flannagan, C. A. C., Reed, M. P., & Hallman, J. (2021). U.S. vehicle occupancy trends relevant to future automated vehicles and mobility services. Traffic injury prevention, 1-6. https://doi.org/10.1080/15389588.2021.1964491
Klinich, Kathleen D, et al. "U.S. vehicle occupancy trends relevant to future automated vehicles and mobility services." Traffic injury prevention vol. (2021): 1-6. doi: https://doi.org/10.1080/15389588.2021.1964491
Klinich KD, Leslie A, Hariya S, Flannagan CAC, Reed MP, Hallman J. U.S. vehicle occupancy trends relevant to future automated vehicles and mobility services. Traffic Inj Prev. 2021 Oct 04;1-6. doi: 10.1080/15389588.2021.1964491. Epub 2021 Oct 04. PMID: 34605723.
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Showing 5017 to 400 of 400 entries