COVID-19 contagion forecasting framework based on curve decomposition and evolutionary artificial neural networks: A case study in Andalusia, Spain.

Many types of research have been carried out with the aim of combating the COVID-19 pandemic since the first outbreak was detected in Wuhan, China. Anticipating the evolution of an outbreak helps to devise suitable economic, social and health care strategies to mitigate the effects of the virus. For this reason, predicting the SARS-CoV-2 transmission rate has become one of the most important and challenging problems of the past months. In this paper, we apply a two-stage mid and long-term forecasting framework to the epidemic situation in eight districts of Andalusia, Spain. First, an analytical procedure is performed iteratively to fit polynomial curves to the cumulative curve of contagions. Then, the extracted information is used for estimating the parameters and structure of an evolutionary artificial neural network with hybrid architectures (i.e., with different basis functions for the hidden nodes) while considering single and simultaneous time horizon estimations. The results obtained demonstrate that including polynomial information extracted during the training stage significantly improves the mid- and long-term estimations in seven of the eight considered districts. The increase in average accuracy (for the joint mid- and long-term horizon forecasts) is 37.61% and 35.53% when considering the single and simultaneous forecast approaches, respectively

Guía para la tutoría de la formación práctico clínica en el Sistema Sanitario Público de Andalucía

YesEl documento que se presenta es un instrumento para los y las profesionales del Sistema Sanitario Público de Andalucía que, en el marco de su actividad cotidiana y en su centro asistencial, se ocupan de la formación práctico clínica del alumnado de grado de las titulaciones sanitarias. Esta Guía se orienta a ofrecerle a estos profesionales-tutores, de modo sintético y dinámico, las claves principales que les permitan situarse con claridad en el escenario general en el que se desarrolla la formación practico-clínica en los centros sanitarios. Así, la Guía expone los aspectos fundamentales de la formación universitaria de las titulaciones sanitarias y destaca los elementos esenciales del nuevo modelo de colaboración entre el Sistema Sanitario Público de Andalucía y las Universidades andaluzas