Ansiedad, depresión y calidad de vida en personas adultas con VIH/SIDA y deterioro cognitivo leve

El Virus de la Inmunodeficiencia Humana (VIH) y el Síndrome de Inmunodeficiencia Adquirida (SIDA) han tenido a lo largo de los años un comportamiento epidemiológico que muestra la tendencia al aumento, de tal forma que ha llegado a considerarse como un problema de salud pública a nivel mundial. Sin embargo los tratamientos antiretrovirales han permitido que las personas con esta infección tengan una tasa de supervivencia mayor; pero ligado a esto, se han presentado efectos secundarios tales como problemas con la memoria y el funcionamiento cognitivo de estas personas. Además se ha encontrado que las personas con VIH/SIDA tienen algunas alteraciones en su área afectiva y generalmente ven afectada su calidad de vida. Este es un estudio exploratorio descriptivo que tuvo por objeto describir la ansiedad, depresión y percepción de calidad de vida en 35 pacientes con VIH/SIDA con deterioro cognitivo leve, seleccionados por conveniencia. Se aplicaron tres cuestionarios, el BDI-II para evaluar la sintomatología depresiva; el BAI para evaluar la sintomatología ansiosa y el MOS-SF30 para evaluar la calidad de vida. Además, se realizó una entrevista semiestructurada para profundizar en la evaluación de estas tres variables. Dentro de los resultados se evidenció que todos los paciente presentan algún nivel de ansiedad y de depresión, evalúan su calidad de vida en un punto medio; ni óptima ni baja. Se discuten estos y otros resultados.

Children's books.

Compilers: 1964-1980, V. Haviland (with L. B. Watt, 1964-<1974>)

Data mining for lifetime prediction of metallic components

The ability to accurately predict the lifetime of building components is crucial to optimizing building design, material selection and scheduling of required maintenance. This paper discusses a number of possible data mining methods that can be applied to do the lifetime prediction of metallic components and how different sources of service life information could be integrated to form the basis of the lifetime prediction model

Bayesian spatiotemporal analysis of socio-ecologic drivers of Ross River Virus transmission in Queensland, Australia

This study aims to examine the impact of socio-ecologic factors on the transmission of Ross River virus (RRV) infection and to identify areas prone to social and ecologic-driven epidemics in Queensland, Australia. We used a Bayesian spatiotemporal conditional autoregressive model to quantify the relationship between monthly variation of RRV incidence and socio-ecologic factors and to determine spatiotemporal patterns. Our results show that the average increase in monthly RRV incidence was 2.4% (95% credible interval (CrI): 0.1–4.5%) and 2.0% (95% CrI: 1.6–2.3%) for a 1°C increase in monthly average maximum temperature and a 10 mm increase in monthly average rainfall, respectively. A significant spatiotemporal variation and interactive effect between temperature and rainfall on RRV incidence were found. No association between Socio-economic Index for Areas (SEIFA) and RRV was observed. The transmission of RRV in Queensland, Australia appeared to be primarily driven by ecologic variables rather than social factors.

Spatial analysis of notified dengue fever infections

This study aimed to investigate the spatial clustering and dynamic dispersion of dengue incidence in Queensland, Australia. We used Moran’s I statistic to assess the spatial autocorrelation of reported dengue cases. Spatial empirical Bayes smoothing estimates were used to display the spatial distribution of dengue in postal areas throughout Queensland. Local indicators of spatial association (LISA) maps and logistic regression models were used to identify spatial clusters and examine the spatio-temporal patterns of the spread of dengue. The results indicate that the spatial distribution of dengue was clustered during each of the three periods of 1993–1996, 1997–2000 and 2001–2004. The high-incidence clusters of dengue were primarily concentrated in the north of Queensland and low-incidence clusters occurred in the south-east of Queensland. The study concludes that the geographical range of notified dengue cases has significantly expanded in Queensland over recent years.