Population production and modelling mortality--an application of geographic information systems in health inequalities research. Export

@article{mitchell_et_al_2002, abstract = {Much research into spatial inequalities in health has sought the balance between compositional and contextual influences on observed patterns. Research published recently by the authors sought to determine whether composition of areas alone might account for the changing geography of mortality in Britain, between 1983 and 1993. The research required data describing Britain in terms of the numbers and location of people with every possible combination of age group, sex, social class and employment status. This paper describes the approach and the custom written geographic information system which estimated these data, and their subsequent application.}, author = {Mitchell, R. and Dorling, D. and Shaw, M.}, citeulike-article-id = {3501608}, citeulike-linkout-0 = {http://view.ncbi.nlm.nih.gov/pubmed/11852260}, citeulike-linkout-1 = {http://www.hubmed.org/display.cgi?uids=11852260}, issn = {1353-8292}, journal = {Health \& place}, keywords = {composition-vs-context, geography, health, population, social-class}, month = {March}, number = {1}, pages = {15--24}, posted-at = {2008-11-10 18:19:42}, priority = {2}, title = {Population production and modelling mortality--an application of geographic information systems in health inequalities research.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/11852260}, volume = {8}, year = {2002} }

TY - JOUR ID - mitchell_et_al_2002 L3 - citeulike-article-id:3501608 N2 - Much research into spatial inequalities in health has sought the balance between compositional and contextual influences on observed patterns. Research published recently by the authors sought to determine whether composition of areas alone might account for the changing geography of mortality in Britain, between 1983 and 1993. The research required data describing Britain in terms of the numbers and location of people with every possible combination of age group, sex, social class and employment status. This paper describes the approach and the custom written geographic information system which estimated these data, and their subsequent application. IS - 1 JF - Health & place SN - 1353-8292 EP - 24 TI - Population production and modelling mortality--an application of geographic information systems in health inequalities research. VL - 8 SP - 15 KW - composition-vs-context KW - geography KW - health KW - population KW - social-class AU - Mitchell, R AU - Dorling, D AU - Shaw, M PY - 2002/03// UR - http://view.ncbi.nlm.nih.gov/pubmed/11852260 ER -