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Charles J DiMaggio

Biographic Data

ID6077249
NAMECharles J DiMaggio
GIVEN NAMESCharles J
FAMILY NAMEDiMaggio
SIGNATUREDIMAGGIO C J
AFFILIATIONSStephen J. Mooney, Charles J. DiMaggio, Gina S. Lovasi, Daniel M. Sheehan, and Andrew G. Rundle are with Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY. Kathryn M. Neckerman is with Columbia Population Research Center, Columbia University. Michael D. M. Bader is with Department of Sociology, American University, Washington, DC. Julien O. Teitler is with School of Social Work, Columbia University. Darby W. Jack is with Department of Environmental Health...
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS6
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2015
LATEST PUBLICATION YEAR2016
H-INDEX2
  • Use of Google Street View to Assess Environmental Contributions to Pedestrian Injury

    Stephen J Mooney, Charles DiMaggio et al.•ARTICLE•American Journal of Public Health•2016•Cited by: 4•References: 41

    Objectives. To demonstrate an information technology–based approach to assess characteristics of streets and intersections associated with injuries that is less costly and time-consuming than location-based studies of pedestrian injury. Methods. We used imagery captured by Google Street View from 2007 to 2011 to assess 9 characteristics of 532 intersections within New York City. We controlled for estimated pedestrian count and estimated the relat…

  • Drawing the Curtain Back on Injured Commercial Bicyclists

    Jessica H Heyer, Monica Sethi et al.•ARTICLE•American Journal of Public Health•2015•Cited by: 2•References: 13

    Objectives. We determined the demographic characteristics, behaviors, injuries, and outcomes of commercial bicyclists who were injured while navigating New York City’s (NYC’s) central business district. Methods. Our study involved a secondary analysis of prospectively collected data from a level 1 regional trauma center in 2008 to 2014 of bicyclists struck by motor vehicles. We performed univariable and multivariable logistic regression analyses.…

  • Use of Google Street View to Assess Environmental Contributions to Pedestrian Injury

    Stephen J Mooney, Charles DiMaggio et al.•ARTICLE•American Journal of Public Health•2016•Cited by: 4•References: 41

    Objectives. To demonstrate an information technology–based approach to assess characteristics of streets and intersections associated with injuries that is less costly and time-consuming than location-based studies of pedestrian injury. Methods. We used imagery captured by Google Street View from 2007 to 2011 to assess 9 characteristics of 532 intersections within New York City. We controlled for estimated pedestrian count and estimated the relat…

  • Drawing the Curtain Back on Injured Commercial Bicyclists

    Jessica H Heyer, Monica Sethi et al.•ARTICLE•American Journal of Public Health•2015•Cited by: 2•References: 13

    Objectives. We determined the demographic characteristics, behaviors, injuries, and outcomes of commercial bicyclists who were injured while navigating New York City’s (NYC’s) central business district. Methods. Our study involved a secondary analysis of prospectively collected data from a level 1 regional trauma center in 2008 to 2014 of bicyclists struck by motor vehicles. We performed univariable and multivariable logistic regression analyses.…

  • Drawing the Curtain Back on Injured Commercial Bicyclists

    Jessica H Heyer, Monica Sethi et al.•ARTICLE•American Journal of Public Health•2015•Cited by: 2•References: 13

    Objectives. We determined the demographic characteristics, behaviors, injuries, and outcomes of commercial bicyclists who were injured while navigating New York City’s (NYC’s) central business district. Methods. Our study involved a secondary analysis of prospectively collected data from a level 1 regional trauma center in 2008 to 2014 of bicyclists struck by motor vehicles. We performed univariable and multivariable logistic regression analyses.…

  • Use of Google Street View to Assess Environmental Contributions to Pedestrian Injury

    Stephen J Mooney, Charles DiMaggio et al.•ARTICLE•American Journal of Public Health•2016•Cited by: 4•References: 41

    Objectives. To demonstrate an information technology–based approach to assess characteristics of streets and intersections associated with injuries that is less costly and time-consuming than location-based studies of pedestrian injury. Methods. We used imagery captured by Google Street View from 2007 to 2011 to assess 9 characteristics of 532 intersections within New York City. We controlled for estimated pedestrian count and estimated the relat…

Confidence interval (2 works) · Environmental health (2 works) · Injury Epidemiology and Prevention (2 works) · Injury prevention (2 works) · Medicine (2 works) · Poison control (2 works) · Traffic and Road Safety (2 works) · Agriculture and Farm Safety (1 work) · Demography (1 work) · Engineering (1 work)

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