Caracterización del embarazo en adolescentes menores de 15 años asistidas en el área de atención primaria El Milagro, Riochico

El embarazo en edades cada vez más tempranas se está convirtiendo en un problema social y de salud pública que afecta a todos los estratos sociales. En este trabajo se caracterizó el embarazo en las adolescentes menores de 15 años asistidas en el área de atención primaria El Milagro, Riochico, mediante un estudio cuali-cuantitativo, retrospectivo y transversal. Los factores maternos individuales predisponentes fueron menarquia entre los 10-12 años, primera relación sexual entre los 12 y 14 años, no uso de anticoncepción ni protección durante las relaciones sexuales. Los controles prenatales insuficientes, familias monoparentales, antecedente familiar de embarazo en la adolescencia y familias disfuncionales, predominaron como factores familiares y culturales, así como el abandono de los estudios dentro de los factores predisponentes de tipo socioeconómicos. Las complicaciones maternas y fetales o neonatales más frecuentes fueron el parto pretérmino, nacimientos por cesárea, sangramientos postparto, neonatos con bajo peso al nacer, con depresión al nacer, taquipnea transitoria y enfermedad de membrana hialina posterior. Se identificaron los principales factores predisponentes durante el embarazo precoz, información que puede constituir una herramienta para la educación sexual y reproductiva en aras de minimizar el impacto de esta problemática de la salud pública en el desarrollo pleno de las adolescentes y sociedad en general

A web-based support system for biometeorological research

[EN] Data are the fundamental building blocks to conduct scientific studies that seek to understand natural phenomena in space and time. The notion of data processing is ubiquitous and nearly operates in any project that requires gaining insight from the data. The increasing availability of information sources, data formats and download services offered to the users, makes it difficult to reuse or exploit the potential of those new resources in multiple scientific fields. In this paper, we present a spatial extract-transform-load (spatial-ETL) approach for downloading atmospheric datasets in order to produce new biometeorological indices and expose them publicly for reuse in research studies. The technologies and processes involved in our work are clearly defined in a context where the GDAL library and the Python programming language are key elements for the development and implementation of the geoprocessing tools. Since the National Oceanic and Atmospheric Administration (NOAA) is the source of information, the ETL process is executed each time this service publishes an updated atmospheric prediction model, thus obtaining different forecasts for spatial and temporal analyses. As a result, we present a web application intended for downloading these newly created datasets after processing, and visualising interactive web maps with the outcomes resulting from a number of geoprocessing tasks. We also elaborate on all functions and technologies used for the design of those processes, with emphasis on the optimisation of the resources as implemented in cloud servicesArroquia-Cuadros, B.; Marqués-Mateu, Á.; Sebastiá Tarín, L.; Fdez-Arroyabe, P. (2021). A web-based support system for biometeorological research. International Journal of Biometeorology. 65(8):1313-1323. https://doi.org/10.1007/s00484-020-01985-yS13131323658Aime MD, Lioy A, Pomi PC, Vallini M (2011) Security plans for SaaS. 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