Infección potencial secundaria a dengue asociada a la presencia de poblaciones de Aedes aegypti (Linnaeus, 1762) en áreas domiciliares de casos confirmados de dengue clásico y dengue hemorrágico en Monterrey, México.

Tesis (Doctor en Ciencias con Acentuación en Entomología Médica) UANL, 2012

Diagnóstico: dengue hemorrágico (FHD), grado II

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Dengue hemorrágico : a propósito de un caso importado en la ciudad de Mendoza : importancia de los antecedentes epidemiológicos : caso clínico

El Dengue es una enfermedad infecciosa, endemo-epidémica, hoy emergente, producida por virus ARN de la familia flaviviridae, que precisa de un vector, mosquitos del género aedes, para ser transmitida al hombre. Los casos que aparecen en nuestro medio son importados, por lo que siempre es importante investigar la epidemiología ante cuadros febriles inespecíficos en pacientes que han estado en zonas endémicas.- Se comunica un caso de dengue hemorrágico importado en una mujer joven con compromiso hepático con el propósito de destacar la importancia de indagar acerca de los antecedentes epidemiológicos y realizar una revisión del tema.

Dengue no Brasil: abordagem geográfica na escala nacional

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Dengue fever and el nino-southern oscillation in Queensland, Australia : a time series predictive model

Background It remains unclear over whether it is possible to develop an epidemic forecasting model for transmission of dengue fever in Queensland, Australia. Objectives To examine the potential impact of El Niño/Southern Oscillation on the transmission of dengue fever in Queensland, Australia and explore the possibility of developing a forecast model of dengue fever. Methods Data on the Southern Oscillation Index (SOI), an indicator of El Niño/Southern Oscillation activity, were obtained from the Australian Bureau of Meteorology. Numbers of dengue fever cases notified and the numbers of postcode areas with dengue fever cases between January 1993 and December 2005 were obtained from the Queensland Health and relevant population data were obtained from the Australia Bureau of Statistics. A multivariate Seasonal Auto-regressive Integrated Moving Average model was developed and validated by dividing the data file into two datasets: the data from January 1993 to December 2003 were used to construct a model and those from January 2004 to December 2005 were used to validate it. Results A decrease in the average SOI (ie, warmer conditions) during the preceding 3–12 months was significantly associated with an increase in the monthly numbers of postcode areas with dengue fever cases (β=−0.038; p = 0.019). Predicted values from the Seasonal Auto-regressive Integrated Moving Average model were consistent with the observed values in the validation dataset (root-mean-square percentage error: 1.93%). Conclusions Climate variability is directly and/or indirectly associated with dengue transmission and the development of an SOI-based epidemic forecasting system is possible for dengue fever in Queensland, Australia.

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.