Mexican Journal of Biomedical Engineering <center> <div class="page" title="Page 1"> <div class="layoutArea"> <div class="column"> <p>Call for Papers for Special Issue on “Biomedical Engineering Innovations for Coronavirus COVID-19”</p> </div> </div> </div> <p><a href="Call%20for Papers for Special Issue on “Biomedical Engineering Innovations for Coronavirus COVID-19”"><strong>DOWNLOAD FULL INFO HERE</strong></a></p> <p><strong>MISSION</strong></p> <p align="left"><em>La Revista Mexicana de Ingeniería Biomédica</em> (The Mexican Journal of Biomedical Engineering, RMIB, for its Spanish acronym) is a publication oriented to the dissemination of papers of the Mexican and international scientific community whose lines of research are aligned to the improvement of the quality of life through engineering techniques.</p> <p align="left">The papers that are considered for being published in the RMIB must be original, unpublished, and first rate, and they can cover the areas of Medical Instrumentation, Biomedical Signals, Medical Information Technology, Biomaterials, Clinical Engineering, Physiological Models, and Medical Imaging as well as lines of research related to various branches of engineering applied to the health sciences.</p> <p align="left">The RMIB is an electronic journal published quarterly ( January, May, September) by the Mexican Society of Biomedical Engineering,&nbsp; founded since 1980. It publishes articles in spanish and english and is aimed at academics, researchers and professionals interested in the subspecialties of Biomedical Engineering.</p> <p><strong>INDEXES</strong></p> <p><em>La revista Mexicana de Ingeniería Biomédica</em> is a quarterly publication, and it is found in the following indexes:</p> <p>&nbsp;<img src="/public/site/images/administrador/21.jpg" alt="" width="780" height="110"><img src="/public/site/images/administrador/1.jpg" alt="" width="780" height="110"><img src="/public/site/images/administrador/4.jpg" alt="" width="780" height="110"></p> <p><img src="/public/site/images/administrador/Unknown1.png" alt=""></p> </center> Sociedad Mexicana de Ingeniería Biomédica en-US Mexican Journal of Biomedical Engineering 0188-9532 <p>Upon acceptance of an article in the RMIB, corresponding authors will be asked to fulfill and sign the copyright and the journal publishing agreement, which will allow the RMIB authorization to publish this document in any media without limitations and without any cost. Authors may reuse parts of the paper in other documents and reproduce part or all of it for their personal use as long as a bibliographic reference is made to the RMIB and a copy of the reference is sent. However written permission of the Publisher is required for resale or distribution outside the corresponding author institution and for all other derivative works, including compilations and translations.</p> <p>&nbsp;</p> Saliva analysis using FTIR spectroscopy to detect possible SARS-CoV-2 (COVID-19) virus carriers Miguel Sánchez-Brito Mónica M. Mata-Miranda Adriana Martínez-Cuazitl Dante J. López-Mezquita Melissa Guerrero-Ruiz Gustavo J. Vázquez-Zapién Copyright (c) 2020 Miguel Sanchez-Brito, Monica M. Mata-Miranda, Adriana Martinez-Cuazitl, Dante J. Lopez-Mezquita , Melissa Guerrero-Ruiz, Gustavo J. Vazquez-Zapien 2020-09-14 2020-09-14 42 1 6 9 The Impact of Staying at Home on Controlling the Spread of COVID -19: Strategy of Control <p style="text-aling: justify;">In this paper, we present a new mathematical model to describe the evolution of the COVID-19 in a population. We aim to investigate an optimal strategy of control to bring the situation under control in Italy and Morocco, where the COVID-19 pandemic is sweeping country after country. The Italian and Moroccan authorities have declared a state of emergency in response to the growing threat of this novel coronavirus (COVID-19) outbreak by March 09 and 20, respectively. The state of emergency means that citizens cannot go out to public spaces without special authorization from local authorities. But after all these efforts exerted by these authorities, the number of new cases of the COVID-19 continues to rise significantly, which confirms the lack of commitment of some citizens. The first objective of this article is to estimate the number of these people who underestimate the lives and safety of citizens and put them at risk. To do this, we use real data of the COVID-19 in Italy and Morocco to estimate the parameters of the model, and then we predict the number of these populations. After that, we investigate an optimal control strategy that could be the optimal and efficient way for the Moroccan authorities and other countries to control the spread of the COVID-19 based on the Italian experience. Numerical examples are provided to illustrate the efficiency of the strategy of control that we propose.</p> Omar Zakary Sara Bidah Mostafa Rachik Copyright (c) 2020 Omar Zakary, Sara Bidah, Mostafa Rachik 2020-09-23 2020-09-23 42 1 10 26 A Method for Evaluating the Risk of Exposure to COVID-19 by Using Location Data <p>One of the main reasons for the large scale spreading of COVID-19 is that many infected people are asymptomatic; therefore, as they continue with their everyday life, they likely spread the virus to more people. The diagnosis of COVID-19 is performed using real-time PCR techniques. However, their availability may be limited in certain countries or cities. Therefore, there is a significant challenge to determine a criterion of which suspect cases should be tested. A method for evaluating the risk of exposure to the COVID-19 infection using Google location data is presented in this paper. The proposed method can be fast and easily implemented using available open-source tools. This method has the potential to help to optimize the application of the COVID-19 test to suspect cases with a high risk of exposure scores. The method was test using data from four people simulating the infection of one of them. The results showed the feasibility of the proposed method to assess exposure risk. The data that can be obtained can potentially open opportunities to analyze and better understand the virus spreading patterns that may not be evident.</p> Eduardo Gerardo Mendizabal-Ruiz Copyright (c) 2020 Eduardo Gerardo Mendizabal Ruiz 2020-09-23 2020-09-23 42 1 27 35