Elizabeth A. Madigan|Olivier Louis Curet|Miklós Zr??nyi
Workforce analysis using data mining and linear regression to understand HIV/AIDS prevalence patterns
Case Western Reserve University|Case Western Reserve University|World Health Organization
achievement millennium development goals mdgs depends sufficient supply health workforce country although countrylevel data support contention difficult evaluate health workforce supply mdg outcomes country level purpose study examine association health workforce particularly nursing workforce achievement mdgs taking account factors known influence health status socioeconomic indicators merged data set includes countrylevel mdg outcomes workforce statistics general socioeconomic indicators utilized present study data obtained global human resources health atlas 2004 statistical information system whosis 2000 un fund development population assistance unfdpa 2000 international council nurses nursing world whounaids database main factors understanding hivaids prevalence rates physician density followed female literacy rates nursing density country using general linear model approaches increased physician nurse density number physicians nurses per population associated lower adult hivaids prevalence rate even controlling socioeconomic indicators increased nurse physician density associated improved health outcomes suggesting countries aiming attain mdgs related hivaids would well invest health workforce implications international country level policy discussed