Colección especial COVID-19
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Esta colección especial recoge todo tipo de materales relacionados con la COVID-19 o de los coronavirus en general como aportación al mejor y más extenso conocimiento de estas enfermedades, como artículos o informes de investigación o materiales más divulgativo en las que ha participado la UPV.
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Browsing Colección especial COVID-19 by Sponsor "European Regional Development Fund"
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- PublicationA case study of 2019-nCOV cases in Argentina with the real data based on daily cases from March 03, 2020 to March 29, 2021 using classical and fractional derivatives(2021-07-20) Kumar, Pushpendra; Erturk, Vedat Suat; Murillo Arcila, Marina; Banerjee, Ramashis; Manickam, A.; AGENCIA ESTATAL DE INVESTIGACION; European Regional Development Fund[EN] In this study, our aim is to explore the dynamics of COVID-19 or 2019-nCOV in Argentina considering the parameter values based on the real data of this virus from March 03, 2020 to March 29, 2021 which is a data range of more than one complete year. We propose a Atangana-Baleanu type fractional-order model and simulate it by using predictor-corrector (P-C) method. First we introduce the biological nature of this virus in theoretical way and then formulate a mathematical model to define its dynamics. We use a well-known effective optimization scheme based on the renowned trust-region-reflective (TRR) method to perform the model calibration. We have plotted the real cases of COVID-19 and compared our integer-order model with the simulated data along with the calculation of basic reproductive number. Concerning fractional-order simulations, first we prove the existence and uniqueness of solution and then write the solution along with the stability of the given P-C method. A number of graphs at various fractional-order values are simulated to predict the future dynamics of the virus in Argentina which is the main contribution of this paper.
- PublicationAn Advanced Search System to Manage SARS-CoV-2 and COVID-19 Data Using a Model-Driven Development Approach(Institute of Electrical and Electronics Engineers, 2022) León Palacio, Ana; García Simón, Alberto; Pastor López, Oscar; Dpto. de Sistemas Informáticos y Computación; Escuela Técnica Superior de Ingeniería Informática; Instituto Universitario Valenciano de Investigación en Inteligencia Artificial; European Commission; Generalitat Valenciana; European Regional Development Fund; AGENCIA VALENCIANA DE LA INNOVACION; Universitat Politècnica de València[EN] The pandemic outbreak of COVID-19 has allowed the proliferation of an unprecedented amount of data that must be organized and connected in a way that allows its efficient management. Nevertheless, the speed at which all of this knowledge is being generated has highlighted the shortcomings of the research community in creating well-organized, standardized, and structured databases. Despite the efforts of the community to develop advanced integrative platforms such as CovidGraph, we have identified some limitations when using these solutions that we think are derived from the lack of a sound ontological schema to guide the collection, standardization, and integration of data. This work explores the advantages and disadvantages for the final user of building advanced information systems using a Model Driven Development approach to integrate heterogeneous and complex data using an ontological background as a basis. As a proof of concept, we built a database (CovProt) to integrate data about different aspects of SARS-CoV-2 using this approach, we analyzed the advantages and disadvantages of using this approach compared to CovidGraph by performing a set of queries in CovProt and CovidGraph, and finally, we compared the structure and redundancy of the retrieved data.
- PublicationCOVIDSensing: Social Sensing strategy for the management of the COVID-19 crisis(MDPI AG, 2021-12) Sepúlveda, Alicia; Periñán Pascual, José Carlos; Muñoz, Andrés; Martínez-España, Raquel; Hernández Orallo, Enrique; Cecilia Canales, José María; Escuela Técnica Superior de Ingeniería de Telecomunicación; Dpto. de Informática de Sistemas y Computadores; Dpto. de Lingüística Aplicada; Escuela Politécnica Superior de Gandia; Escuela Técnica Superior de Ingeniería Informática; Grupo de Análisis de las Lenguas de Especialidad (GALE); Grupo de Redes de Computadores; GENERALITAT VALENCIANA; AGENCIA ESTATAL DE INVESTIGACION; Agencia Estatal de Investigación; European Regional Development Fund[EN] The management of the COVID-19 pandemic has been shown to be critical for reducing its dramatic effects. Social sensing can analyse user-contributed data posted daily in social-media services, where participants are seen as Social Sensors. Individually, social sensors may provide noisy information. However, collectively, such opinion holders constitute a large critical mass dispersed everywhere and with an immediate capacity for information transfer. The main goal of this article is to present a novel methodological tool based on social sensing, called COVIDSensing. In particular, this application serves to provide actionable information in real time for the management of the socio-economic and health crisis caused by COVID-19. This tool dynamically identifies socio-economic problems of general interest through the analysis of people¿s opinions on social networks. Moreover, it tracks and predicts the evolution of the COVID-19 pandemic based on epidemiological figures together with the social perceptions towards the disease. This article presents the case study of Spain to illustrate the tool.
- PublicationModeling COVID-19 with Uncertainty in Granada, Spain. Intra-Hospitalary Circuit and Expectations over the Next Months(MDPI AG, 2021-05-17) Garrido, Jose M.; Martínez-Rodríguez, David; Rodriguez-Serrano, Fernando; Sferle, Sorina Madalina; Villanueva Micó, Rafael Jacinto; Facultad de Administración y Dirección de Empresas; Dpto. de Matemática Aplicada; Instituto Universitario de Matemática Multidisciplinar; GENERALITAT VALENCIANA; Fundación Ramón Areces; AGENCIA ESTATAL DE INVESTIGACION; European Regional Development Fund[EN] Mathematical models have been remarkable tools for knowing in advance the appropriate time to enforce population restrictions and distribute hospital resources. Here, we present a mathematical Susceptible-Exposed-Infectious-Recovered (SEIR) model to study the transmission dynamics of COVID-19 in Granada, Spain, taking into account the uncertainty of the phenomenon. In the model, the patients moving throughout the hospital's departments (intra-hospitalary circuit) are considered in order to help to optimize the use of a hospital's resources in the future. Two main seasons, September-April (autumn-winter) and May-August (summer), where the hospital pressure is significantly different, have been included. The model is calibrated and validated with data obtained from the hospitals in Granada. Possible future scenarios have been simulated. The model is able to capture the history of the pandemic in Granada. It provides predictions about the intra-hospitalary COVID-19 circuit over time and shows that the number of infected is expected to decline continuously from May without an increase next autumn-winter if population measures continue to be satisfied. The model strongly suggests that the number of infected cases will reduce rapidly with aggressive vaccination policies. The proposed study is being used in Granada to design public health policies and perform wise re-distribution of hospital resources in advance.
- PublicationRemote teaching in construction engineering management during COVID-19(IATED Academy, 2021-03-09) Martínez-Muñoz, D.; Martí Albiñana, José Vicente; Yepes Piqueras, Víctor; Dpto. de Ingeniería de la Construcción y de Proyectos de Ingeniería Civil; Escuela Técnica Superior de Ingeniería de Caminos, Canales y Puertos; Instituto Universitario de Investigación de Ciencia y Tecnología del Hormigón; European Regional Development Fund[EN] This paper describes the impact of the change from face-to-face classes to non-face-to-face classes with students of a postgraduate course at the Universitat Politècnica de València. This study is carried out in the subjects of installation, organization and quality assurance in construction and construction procedures of both degree in public works engineering and civil engineering. This course develops the student's skills to integrate into the studies department of a construction company, as Site Manager or Production Director, from a journey through the different phases of the project-construction process. As part of this topic, the methods of scheduling activities on site are discussed. In the traditional face to-face method, several problems are solved, requiring that students have previously learned programming techniques: arrow networks, precedence networks, and how to apply the PERT method to statistically obtain the probability of completion of a building or the completion of activities related. Due to the current situation of the pandemic caused by COVID-19, face-to-face teaching has changed virtual classes in a very short time. This has required a radical shift towards distance education. This paper explains how this change has been made, what new methods have been used to teach the contents corresponding to the scheduling of assignments, and what the students' perception has been. The quality of the education received and the difficulties encountered in obtaining the knowledge and skills attributed to this subject are analyzed.
- PublicationThe effects on European importers' food safety controls in the time of COVID-19(Elsevier, 2021-07) Martí Selva, María Luisa; Puertas Medina, Rosa María; García Alvarez-Coque, José María; Facultad de Administración y Dirección de Empresas; Dpto. de Economía y Ciencias Sociales; Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural; Grupo de Investigación de Economía Internacional y Desarrollo; AGENCIA ESTATAL DE INVESTIGACION; European Regional Development Fund[EN] COVID-19 has highlighted the fragility of the global economic system. In just a few months, the consequences of the pandemic have left their mark on the affected countries at all levels and without exception. This article analyses the profile of food safety notifications reported by European countries in the first five months of 2020. The aim was to detect possible changes in food safety regulations imposed by control authorities that could aggravate the economic impacts of the pandemic. While COVID-19 does not appear to be a foodborne disease, some outbreaks have been linked to imported food, which might have affected the food control behaviour of importing countries. In this study, contingency tables and clustering were used to assess differences between years and notification characteristics and to detect homogeneous groups to help identify how the reported notifications might have changed. In the period considered in this study, the volume of notifications on most imported foodstuffs decreased considerably. This decrease was a direct consequence of the fall in international trade, which might have increased countries' reliance on domestic sources. The COVID-19 crisis has not caused a substantial change in the profile of European countries¿ in terms of the characteristics of reported notifications (product category and risk decision). However, the worst affected countries have replaced border rejections with alerts, which may indicate greater reliance on intra-EU markets.
- PublicationThe urban impact of COVID-19: six neighbourhoods, three cities and three countries in social network data(Universitat Politècnica de València, 2022-10-28) Serrano-Estrada, Leticia; Martí Ciriquián, Pablo; Bernabeu-Bautista, Álvaro; Ruiz-Santacruz, Javier Sebastián; Generalitat Valenciana; European Regional Development Fund[EN] The COVID-19 health emergency has impacted multiple dimensions of the complex physical, social, functional and economic structure of cities. This research encompasses a comparative diagnosis of some of the changes and transformations that have occurred in the urban environment due to the crisis and are reflected in geolocalised social network data. For this purpose, data from Google Places and Twitter are adopted as the main source of information. A mixed qualitative and quantitative methodology is proposed to analyse the increase and loss of economic activity (Google Places) and human presence (Twitter) in two periods: pre- and post-pandemic.As a case study, two areas with very different socio-economic conditions are analysed in three cities located in countries that adopted different pandemic restrictions measures - Valencia in Spain, Mexico City in Mexico and Gothenburg in Sweden. The diagnosis reported by these social networks is of great use in formulating useful strategies both for identifying the changes that have been taking place and for dealing with future disruptive scenarios.