Everything is connected: social determinants of pediatric health and disease

被引:8
|
作者
Tarazi, Carine [1 ]
Skeer, Margie [2 ]
Fiscella, Kevin [3 ,4 ,5 ]
Dean, Stephanie [1 ]
Dammann, Olaf [2 ,6 ]
机构
[1] Int Pediat Res Fdn, The Woodlands, TX USA
[2] Tufts Univ, Sch Med, Dept Publ Hlth & Community Med, Boston, MA 02111 USA
[3] Rochester Ctr Improve Commun Hlth, Rochester, NY USA
[4] Greater Rochester Practice Res Network, Rochester, NY USA
[5] Westside Community Hlth Ctr, Rochester, NY USA
[6] Hannover Med Sch, Perinatal Neuroepidemiol Unit, Hannover, Germany
关键词
D O I
10.1038/pr.2015.220
中图分类号
R72 [儿科学];
学科分类号
100202 ;
摘要
Carine Tarazi, MA, is an Assistant Editor for Pediatric Research in Boston, Massachusetts, USA. Margie Skeer, ScD, MPH, MSW, served as a Guest Editor for this special issue. Dr Skeer is Assistant Professor of Public Health and Community Medicine at Tufts University. Her research focuses on adolescent substance misuse and sexual risk prevention, both from epidemiologic and intervention-development perspectives. Kevin Fiscella, MD, MPH, served as a Guest Editor for this special issue. Dr Fiscella is Tenured Professor of Family Medicine, Public Health Sciences and Community Health at the University of Rochester Medical Center. Dr Fiscella’s research focuses on health and health care disparities, particularly practical strategies to improve health equity. Stephanie Dean, MBA, is Managing Editor of Pediatric Research and is based out of editorial office in The Woodlands, Texas. Olaf Dammann, MD, served as a Guest Editor for this special issue. Dr Dammann is a Professor of Public Health and Community Medicine, Pediatrics, and Ophthalmology at Tufts University School of Medicine in Boston, Massachusetts, USA, as well as Professor of Perinatal Neuroepidemiology at Hannover Medical School, Hannover, Germany. His research interests include the elucidation of risk factors for brain damage and retinopathy in preterm newborns, the theory of risk and causation in biomedical and public health research, and the development of computational chronic disease models.
引用
收藏
页码:125 / 126
页数:2
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