Urban versus rural setting as a predictor of injury type and severity among pediatric pedestrians: using a database derived from state-wide crash data and hospital discharge data in Illinois-Reference-Cited by-同舟云学术

Urban versus rural setting as a predictor of injury type and severity among pediatric pedestrians: using a database derived from state-wide crash data and hospital discharge data in Illinois

Published:2020-10-26 Issue:1 Volume:28 Page:22-28
ISSN:1745-7300
Container-title:International Journal of Injury Control and Safety Promotion
language:en
Short-container-title:International Journal of Injury Control and Safety Promotion

Author:

Fant Colleen¹^ORCID,Koopmans Joy¹,Simon Norma-Jean E.¹,Lorenz Doug²,Rychlik Karen³,Sheehan Karen¹

Affiliation:

1. Division of Emergency Medicine, Ann and Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL, USA

2. Department of Bioinformatics and Biostatistics, School of Public Health and Information Sciences, University of Louisville, Louisville, KY, USA

3. Stanley Manne Children's Research Institute, Ann and Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL, USA

Publisher

Informa UK Limited

Subject

Public Health, Environmental and Occupational Health,Safety Research

Link

https://www.tandfonline.com/doi/pdf/10.1080/17457300.2020.1835988

Reference20 articles.

1. Claffey, M. & Hofer, S. (2016). Mayor Emanuel Launches vision zero Chicago initiative to eliminate traffic fatalities and serious injuries across the city [Press release]. https://www.chicago.gov/city/en/depts/cdot/provdrs/traffic_signals_andstreetlights/news/2016/september/mayor-emanuel-launches-vision-zero-chicago-initiative-to-elimina.html

2. Pedestrian Safety

3. Linkage of traffic crash and hospitalization records with limited identifiers for enhanced public health surveillance

4. The Crash Outcome Data Evaluation System (CODES) and Applications to Improve Traffic Safety Decision-Making. (2010). https://crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/811181

5. Pedestrians injured by automobiles: Relationship of age to injury type and severity 1

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