It has already been published our paper «Community detection based deep neural network (CD-DNN) architectures: a fully automated framework for Likert scales» in the mathematical journal Mathematical Methods in Applied Science, where we apply network community detection in order a suitable infrastructure for an Artificial Neural Network. This permits to efficiently use raw data from psychological questionnaires based on Likert scales.

Mathematics can also contribute to the modeling of side problems to the pandemics. We point out some of them, such as data quality analysis, network medicine, healthcare services management, the physical spreading of the virus in the environment, the subsequent impact on the economy, and the social response to confinement government measures.

In any case, all the contributions and developments will be beneficial in many ways aside from coping with pandemics. Some potential topics that this Special Issue will cover, but is not limited to, are as follows: Epidemiological dynamics, diffusion modeling, compartmental and SIR type models, human dynamics, agent modeling of structured populations, network medicine, data quality, artificial intelligence and deep learning models, and data analysis of social media

Further information in https://www.mdpi.com/journal/mathematics/special_issues/Mathematics_COVID-19 Your work is welcome!!!

On May 8th, my PhD student Miguel E. Iglesias-Martínez presented his dissertation Development of algorithms of statistical signal processing for the detection and pattern recognition in time series. Application to the diagnosis of electrical machines and to the features extraction in actigraphy signals, supervised  Jose A. Antonino Daviu and Pedro Fdez. de Córdoba, obtaining the qualification of summa cum Claude. Congratulations for your excellent work, Miguel.

News appeared in Diario Libre of the Dominican Republic about my joint work with my students Pedro A. Solares Hernández and Fernando A. Manzano, together with Fco. Javier Pérez Benito. In this work, we study divisibility properties of Pascal’s triangle numbers. Link to the article.

Link to the publication in the mathematical journal Mathematics, from MDPI publisher, https://www.mdpi.com/2227-7390/8/2/254