Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học quốc tế đề tài : Workforce analysis using data mining and linear regression to understand HIV/AIDS prevalence patterns | Human Resources for Health BioMed Central Research Workforce analysis using data mining and linear regression to understand HIV AIDS prevalence patterns Elizabeth A Madigan 1 Olivier Louis Curet2 and Miklos Zrinyi3 Open Access Address Frances Payne Bolton School of Nursing Case Western Reserve 10900 Euclid Ave. Cleveland OH 44106-4904 USA 2Frances Payne Bolton School of Nursing Case Western Reserve University 10900 Euclid Ave. Cleveland OH 44106-4904 USA and 3World Health Organization Geneva Switzerland Email Elizabeth A Madigan - Olivier Louis Curet - ocuret@ Miklos Zrinyi - zrinyim@ Corresponding author Published 31 January 2008 Received 4 December 2006 Human Resources for Health 2008 6 2 doi l478-4491-6-2 Accepted 31 January 2008 This article is available from http content 6 1 2 2008 Madigan et al licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Background The achievement of the Millennium Development Goals MDGs depends on sufficient supply of health workforce in each country. Although country-level data support this contention it has been difficult to evaluate health workforce supply and MDG outcomes at the country level. The purpose of the study was to examine the association between the health workforce particularly the nursing workforce and the achievement of the MDGs taking into account other factors known to influence health status such as socioeconomic indicators. Methods A merged data set that includes country-level MDG outcomes workforce statistics and general socioeconomic indicators was utilized for the present study. Data were obtained from the Global Human Resources for Health Atlas 2004 the WHO Statistical .
