Guest Editorial Special Issue on Fighting Against COVID-19
Keywords:
COVID-19, Special Issue, TechnologyAbstract
This is the introductory manuscript for the Special Issue on Fighting Against COVID-19. In this, the guest editors commenters all the accepted manuscripts for publication, presenting them grouped on four main subtopics: (I) COVID-19 dissemination modeling; (II) follow up of social isolation; (III) artificial intelligence and deep learning applied to COVID-19 diagnosis; and (IV) different technological developments on fighting COVID-19.
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Author Biographies
Gabriela Hoff, Clinics Hospital of Porto Alegre
She is a Pos-Doctor Senior at Clínicas Hospital of Porto Alegre (Brazil). She has a Master's and a Doctor degree in Science, Nuclear Biosciences at Medical Physics concentration area by the University of Rio de Janeiro (Brazil). From 2001 to 2014 she has worked as a professor at Pontifical Catholic University of Rio Grande do Sul performing teaching activities and acting as a member of the Ethics in Research Committee and Graduation Course coordinator. In the last years, she has collaborated in projects with different Institution and researchers: 2011 to 2012 with Maria Grazia Pia at Istituto Nazionali di Fisica Nucleare, in Italy conducting research on the validation of transport models implemented in Monte Carlo codes; with Professor Sergei Paschuk at Universidade Técnica Federal do Paraná, in Brazil to validate Geant4 for dosimetry of proton beam to be applied on proton computed tomography and patients dosimetry on proton therapy; in 2018 with Bruno Golosio and Viviana Fanti from Università degli Studio di Cagliari in a project of Monte Carlo tools validation (Geant4 and XRMC) on applications for external dosimetry in Medical Physics Applications. She is an IEEE NPSS member and an IEEE NPSS Transnational Committee representative member of South America and an Associate Editor of Latin America Transactions. Gabriela has experience in medical physics, computer simulation, and external dosimetry, acting on the following topics: mammography,
Hiram Ponce, Facultad de Ingeniería, Universidad Panamericana
He is full-time professor and researcher in the School of Engineering at Universidad Panamericana (Mexico). He graduated in Mechatronics Engineering at Tecnologico de Monterrey (Mexico), obtained a Master in Science Engineering and a Ph.D. in Computer Science in the same university. He is member of the National System of Researchers rank level 1 of the National Council of Science and Technology (Mexico). He is author of more than 75 international journal and conference publications, 8 book chapters, and 4 books in the area of artificial intelligence and robotics. He is executive board member of the Mexican Society of Artificial Intelligence (Mexico), member of the Technical Committee on Neural Networks in IEEE Computational Intelligence Society, member of the Technical Committee on Robotics and Mechatronics in IFToMM, among other memberships. He was awarded with a Google Research Award for Latin America in 2017. He has served as guest editor in different special issues of reputed journals. He is currently Associate Editor in IEEE Access.
Humberto Sossa, Centro de Investigación en Computación Instituto Politécnico Nacional
He is full-time professor at the Center of Research in Computing in the Instituto Politécnico Nacional (Mexico). He is director of the Robotics and Mechatronics laboratory. He is a senior member of IEEE, a member of the National System of Researchers (Mexico), a member of the Mexican Academy of Computing and a member of the Mexican Academy of Engineering. His interests are artificial intelligence, machine learning and robotics.
References
World Health Organization, "Coronavirus Disease (COVID-19) Dashboard", [Online] Available: https://covid19.who.int/, reference of development in Journal of medical Internet research, v. 22, n. 6, p. e19659, 2020.
A. J. Rodriguez-Morales, V. Gallego, J. P. Escalera-Antezana, C. A. Méndez, L. I. Zambrano, C. Franco-Paredes, et al., "COVID-19 in Latin America: The implications of the first confirmed case in Brazil", Travel medicine and infectious disease, 2020.
A. Pablos-Méndez, J. Vega, F. P. Aranguren, H. Tabish, M. C. Raviglione, "COVID-19 in Latin America", [Online] Available: https://www.bmj.com/content/370/bmj.m2939, 2020.
L. Zhu, X. Liu, H. Huang, R. D. Avellán-Llaguno, M. M. L. Lazo, A. Gaggero, et al., "Meteorological impact on the COVID-19 pandemic: A study across eight severely affected regions in South America", Science of The Total Environment, v. 744, p. 140881, 2020.
J. K. Andrus, T. Evans-Gilbert, J. I. Santos, M. G. Guzman, P. J. Rosenthal, C. Toscano, et al. "Perspectives on battling COVID-19 in countries of Latin America and the Caribbean", The American journal of tropical medicine and hygiene, v. 103, n. 2, p. 593, 2020.
A. S. Monto, L. Comanor, D. K. Shay and W. W. Thompsonet, "Epidemiology of pandemic influenza: use of surveillance and modeling for pandemic preparedness", The Journal of infectious diseases, v. 194, n. 2, p. S92-S97, 2006.
V. Colizza, A. Barrat, M. Barthelemy, A.-J. Valleron and A. Vespignani, "Modeling the worldwide spread of pandemic influenza: baseline case and containment interventions", PLoS Med, v. 4, n. 1, p. e13, 2007.
P. R. Saunders-Hastings and D.Krewski. "Reviewing the history of pandemic influenza: understanding patterns of emergence and transmission", Pathogens, v. 5, n. 4, p. 66, 2016.
S. Saha, G. Samanta, and J. J. Nieto, "Epidemic model of COVID-19 outbreak by inducing behavioural response in population", Nonlinear dynamics, pp. 1–33, 2020.
O. Pinto Neto, J. C. Reis, A. C. B. Brizzi, G. J. Zambrano, J. M. de Souza, W. Pedroso, et al., "Compartmentalized mathematical model to predict future number of active cases and deaths of COVID-19", Research on Biomedical Engineering, 2020.
M. Peirlinck, K. Linka, F. Sahli Costabal, J. Bhattacharya, E. Bendavid, J. P. A. Ioannidis, and E. Kuhl, "Visualizing the invisible: The effect of asymptomatic transmission on the outbreak dynamics of COVID-19", Computer Methods in Applied Mechanics and Engineering, v. 372,2020.
T. Alamo, D. G. Reina, M. Mammarella, and A. Abella, "COVID-19: Open-data resources for monitoring, modeling, and forecasting the epidemic", Electronics, v. 9, n. 5, pp. 827, 2020.
T. de Salazar e Fernandes, J. S. de Oliveira Filho, and I. M. S. da Silva Lopes, "Fractal signature of coronaviruses related to severe acute respiratory syndrome", Research on Biomedical Engineering, 2020.
F. Araya, "Modeling the spread of COVID-19 on construction workers: An agent-based approach", Safety Science, v. 133, 2020.
R. M. Pelaez, J. R. Bermeo Escalona, J. L. Ayala Herrera, S. I. Rivera Manrique, A. Sánchez Ruiz, L. C. Córdova Albores and V. García Jiménez, "Risk Score Based on Critical Factors Associated with COVID-19", In this issue, 2020.
D. E. Cárdenas and J. Casaboza, "Analysis and modeling of dynamic behavior of the COVID-19 outbreak: study case of Panama", In this issue, 2020.
E. Siqueira, C. Portela, F. Farias and C. Braga, "Temporal Prediction Model of the Evolution of Confirmed Cases of the New Coronavirus (SARS-CoV-2) in Brazil", In this issue, 2020.
H. C. Spengler, G. V. Loch and C. T. Scarpin, "SEIR Subregion Model Analysis: a case study of Curitiba", In this issue, 2020.
R. Fernandes, "Compartmental Epidemiological Models for COVID-19: Estimation, Goodness-of-Fit and Forecasting Epidemics", In this issue, 2020.
Hiram Ponce, "Optimization of the Containment Levels for the Reopening of Mexico City due to COVID-19", In this issue, 2020.
A. Alanis, E. A. Hernandez-Vargas, N. F. Ramirez and D. Rios-Rivera, "Neural Control for Epidemic Model of COVID-19 with a Complex Network Approach", In this issue, 2020.
M. Belingheri, M. E. Paladino and M. A. Riva, "COVID-19: Health prevention and control in non-healthcare settings", Occupational Medicine, v. 70, n. 2, pp. 82–83, 2020.
S. Chanjuan and Z. Zhiqiang, "The efficacy of social distance and ventilation effectiveness in preventing COVID-19 transmission, Sustainable cities and society, v. 62, p. 102390, 2020.
World Health Organization, "Coronavirus disease (COVID-19) advice for the public", [Online] Available: https://www.who.int/emergencies/diseases/novel-coronavirus-2019/advice-for-public. 2020.
P. S. Sausen, M. de Campos, A. Sausen, M. Binelo and M. dos Santo, "Proposal for a Methodology Based on Electricity Consumption to Analyze Social Isolation During a COVID-19 Pandemic: Case Study", In this issue, 2020.
E. G. Nepomuceno, A. F. Versiani, R. G. Sousa, P. T. Monteforte, J. J. S. Marciano, T. E. Nazaré, et al., "A required isolation index to support the health system during the pandemic of COVID-19 in Minas Gerais, Brazil", In this issue, 2020.
R. L. Araújo, T. da S. Sena and P. T. Endo, "Gamification applied to an elderly monitoring system during the COVID-19 pandemic", In this issue, 2020.
D. Ravì, C. Wong, F. Deligianni, M. Berthelot, J. Andreu-Perez; B. Lo, et al., "Deep Learning for Health Informatics", in IEEE Journal of Biomedical and Health Informatics, v. 21, n. 1, pp. 4-21, doi: 10.1109/JBHI.2016.2636665. 2017.
M. Jamshidi, A. Lalbakhsh, J. Talla, Z. Peroutka, F. Hadjilooei, P. Lalba, et al., "Artificial Intelligence and COVID-19: Deep Learning Approaches for Diagnosis and Treatment", in IEEE Access, v. 8, pp. 109581-109595, doi: 10.1109/ACCESS.2020.3001973.2020.
O. L. V. de Sousa, D. M. V. Magalhães, P. de A. Vieira and R. Silva, "Deep Learning in Image Analysis for COVID-19 Diagnosis: a Survey", In this issue, 2020.
P. Endo, I. Richard Silva, G. Leoni Santos and D. Sadok, "Classifying COVID-19 positive X-ray using deep learning models", In this issue, 2020.
E. Cortés and S. Sánchez, "Deep Learning Transfer with AlexNet for chest X-ray COVID-19 recognition", In this issue, 2020.
C. I. Orozco, E. Xamena, C. A. Martínez and D. A. Rodríguez, "COVID–XR: A Web Management Platform for Coronavirus Detection on X-ray Chest Images", In this issue, 2020.
D. Lopes Freire, R. F. A. P. de Oliveira, C. J. A. B. Filho, P. Buarque and A. C. A. M. V. F. de Medeiros,
"Machine Learning Applied in SARS-CoV-2 COVID 19 Screening Using Clinical Analysis Parameters", In this issue, 2020.
A. D. Orjuela-Cañon and O. Perdomo, "Clustering Proposal Support for the COVID-19 Making Decision Process in a Data Demanding Scenario", In this issue, 2020.
C. A. Damasceno, A. L. Leal, G. F. Soares, G. R. Pinheiro L. da S. Bezerra, M. de C. P. Prado and Y. M. Perci, "Low Cost Volume Sensors for Mechanical Ventilators", In this issue, 2020.
A. M. Hakme da Silva, J. de Carvalho, L. Romagnolo, M. Alves and A. Farah, "Splitting Ventilator Valve Concept Used In The COVID-19 Treatment Through Additive Manufacturing Technique", In this issue, 2020.
I. M. Moran, R. Fuentes-Alvarez, M. Alfaro-Ponce, F. Alvarado, J. Aidee Mora-Galvan and R. Q. Fuentes-Aguilar, "Full-face mask adapter as COVID-19 Personal Protective Equipment: design, tests and validation", In this issue, 2020.
Fabian N. Murrieta-Rico, "Prospects for Further Development of Face Masks to Minimize Pandemics – Functionalization of Textile Materials with Biocide Inorganic Nanoparticles: A Review", In this issue, 2020.
R. G. Araguás, "Real Time Facemask Detection Using Deep Learnig", In this issue, 2020.
I. Canal, M. Reimbold and M. Campos, "Drone use to combat COVID-19: Adaptive tuning proposal of the control system under variable load", In this issue, 2020.
E. Mariano, B. Torres, M. Almeida, D. Ferraz, D. Rebelatto and J. C. Soares de Mello, "Brazilian states in the context of COVID-19 pandemic: an index proposition using Network Data Envelopment Analysis", In this issue, 2020.
G. De La Fuente Cortes, J. A, Diaz-Mendez, G. E. Flores-Verdad and V. R. Gonzalez-Diaz, "Ischemic and non-ischemic heartbeat classifier for portable automatic detection systems", In this issue, 2020.
G. Carlos and D. Vieira, "Low Cost Smartband to Prevent COVID-19", In this issue, 2020.
F. Rodriguez, S. Gutierrez, B. A. Reyes, V. Rosas, M. V. Silva Rubio, A. Mejía Rodríguez, et al., "IoMT: Rinku’s Clinical Kit Applied to Collect Information related to COVID-19 through Medical Sensors", In this issue, 2020.
G. E. Alvarez and J. L. Sarli, "Mathematical model to control the Argentine Energy System during the COVID 19 pandemic", In this issue, 2020.
I. P. de Araújo Costa, A. Manzolillo Sanseverino, M. R. dos Santos Barcelos, M. C. Neyra Belderrain, C. F. Simões Gomes and M. dos Santos, "Choosing flying hospitals in the fight against the COVID-19 pandemic: structuring and modeling a complex problem using the VFT and ELECTRE-MOr methods", In this issue, 2020.
