Area deprivation and widening inequalities in US mortality, 1969-1998.
By Gopal K. Singh. American Journal of Public Health, 2003
1,254 citations recorded by the source corpus.
Subfields: General Health Professions, Health, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/8930fcb7812d8761a132b845e35eb527816ba25b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In General Health Professions
In Health
- P. O’Campo
- D. D. Ingram
- Jessica G. Burke
- C. Greenberg
- Menggang Yu
- C. Holzman
- J. Kaufman
- Lynne C. Messer
In Sociology and Political Science
- P. O’Campo
- D. D. Ingram
- Jessica G. Burke
- C. Greenberg
- Menggang Yu
- C. Holzman
- J. Kaufman
- Lynne C. Messer
Citations in the corpus
- Neighborhood Socioeconomic Disadvantage and 30 Day Rehospitalizations: An Analysis of Medicare Data (2014, methodology): “Some European countries use composite measures of neighborhood socioeconomic disadvantage similar to the ADI to monitor population health and to allocate services and funding to ensure increased support in high-risk regions (25, 26).”
- The Development of a Standardized Neighborhood Deprivation Index (2006, background): “The deprivation index described here represents an attempt to more accurately reflect the multidimensional character of community socioeconomic position.(43,68,75) This study was limited by several factors.”
- Eight Americas: Investigating Mortality Disparities across Races, Counties, and Race-Counties in the United States (2006, background): “Researchers have also drawn attention to substantial disparities in mortality and functional health status nationally and within race groups in relation to income, social class, education, and community characteristics [6–16].”
- 2013 NCHS Urban-Rural Classification Scheme for Counties. (2014, background): “Using county-level data derived from Census 2000 and from the Vintage 2004 postcensal estimates of the resident population of the United States, the variables considered for the discriminant model were: population of the metropolitan area as of July 1, 2004 population of the county as of July 1,”