Socio-economic determinants of HIV/AIDS pandemic and nations efficiencies

Situación epidemiológica actual del VIH/SIDA en Latinoamérica en la primera década del siglo XXI: Análisis de las diferencias entre países

“…Se aducen como razones de las diferencias entre los índices de prevalencia de estas regiones factores religiosos, culturales, sociales, económicos y políticos (entre otros) que influyen sobre la conducta sexual así como en el nivel de desarrollo 19,20 .…”

Assessing the efficiency of mother-to-child HIV prevention in low- and middle-income countries using data envelopment analysis

“…The only exception to this is the study by Zanakis et al [28], which examines the impact of major socioeconomic factors on HIV/AIDS indicators and assesses each country's efficiency in battling the epidemic. In so doing, it makes an important contribution to this under researched area, not only because it is the first one using DEA to assess the efficiency of nations in battling HIV but also because it identifies that research on HIV/AIDS should include both individual and socio-economic factors, to better understand the development of the global epidemic.…”

“…In fact, considerable HIV/AIDS differences among nations have been attributed to exogenous conditions like nation's wealth, migration from rural to urban areas, education, access to health services and drug use. For example, Zanakis et al [28], in exploring the effects that socio-economic factors have on the development of the HIV/AIDS epidemic, found evidence that countries with lower population density that manage to provide better health system performance, per capita support and better media information, without necessarily higher GNP, are more likely to exhibit lower HIV/AIDS indicators.…”

Validation of a decision support model for investigation and improvement in stroke thrombolysis

“…In the study by Blake and Carter (2002) authors reported on using the linear goal programming models for strategic resource allocation in health services. Zanakis et al (2007) investigated the effect of epidemic HIV/AIDS socio-economic determinants across different countries; and in the article by Junglas et al (2009) the authors employed both qualitative and quantitative techniques to report on medical staff decisions on using mobile technologies in healthcare centers.…”

“…Four studies reported some aspects of both data and conceptual model validation, twelve studies included elements of both conceptual and operational validation, and further two studies reported addressing data as well as operational validation issues. Finally, only three articles in the reviewed non-simulation health OR/MS literature addressed some aspects of data, conceptual model, and operational validation ( Blake & Carter, 2002;Junglas, Abraham, & Ives, 2009;Zanakis, Alvarez, & Li, 2007 ) ( Fig. 1 ).…”