Examinando por Autor "Guerrero-Nancuante, Camilo"

Mostrando 1 - 5 de 5
  • Miniatura
    Ítem
    A Generalization of the Importance of Vertices for an Undirected Weighted Graph
    (MDPI, 2021) Manríquez, Ronald; Guerrero-Nancuante, Camilo; Martínez, Felipe; Taramasco, Carla
    Establishing a node importance ranking is a problem that has attracted the attention of many researchers in recent decades. For unweighted networks where the edges do not have any attached weight, many proposals have been presented, considering local or global information of the networks. On the contrary, it occurs in undirected edge-weighted networks, where the proposals to address this problem have been more scarce. In this paper, a ranking method of node importance for undirected and edge-weighted is provided, generalizing the measure of line importance (DIL) based on the centrality degree proposed by Opsahl. The experimentation was done on five real networks and the results illustrate the benefits of our proposal.
  • Miniatura
    Ítem
    Evidencia científica sobre cuidados de Enfermería y COVID-19
    (Ecimed, 2020) Guerrero-Nancuante, Camilo; Armstrong-Barea, Lucy; González-Adonis1, Francisca
    Introducción: COVID-19 ha generado efectos negativos en gran parte del mundo. Su rápida propagación produjo la necesidad de investigar respecto a los cuidados de enfermería otorgados a las comunidades en el contexto de pandemia de SARS CoV2. Objetivo: analizar la evidencia científica disponible respecto a cuidados de enfermería y COVID-19. Métodos: Se realizó una revisión de alcance mediante el marco metodológico de PRISMA-ScR, en bases de datos científicas EMBASE, Scopus, PubMed, Web of Science y otras fuentes de consulta para articulo publicados en inglés entre 1 de diciembre 2019 al 27 de junio 2020. Se analizó fecha de publicación, país de origen y género del primer autor, tipo de artículo y dimensión o tópico de la investigación. Se incluyeron en total 205 artículos. Conclusiones: El 55,61% correspondió a investigaciones realizadas por mujeres como primera autora; el 37,56% de los estudios analizados fueron desarrollados en Estados Unidos. El 68,78% de los manuscritos corresponden a editoriales, comentarios/reflexiones, revisiones e investigaciones primarias. El 63,91% de las publicaciones se relacionaron a tópicos de prácticas de enfermería, rol profesional, salud mental y adultez mayor. Existen baja diversificación temática de los estudios asociados a cuidados de enfermería y COVID-19, como también investigaciones que permitan evaluar las intervenciones disciplinares en el actual contexto. Urge mayor participación femenina en los estudios en dicho ámbito, además de proyectar investigaciones en otras poblaciones vulnerables.
  • Miniatura
    Ítem
    Protection Strategy against an Epidemic Disease on Edge-Weighted Graphs Applied to a COVID-19 Case
    (MDPI, 2021) Manríquez, Ronald; Guerrero-Nancuante, Camilo; Taramasco, Casrla
    Among the diverse and important applications that networks currently have is the modeling of infectious diseases. Immunization, or the process of protecting nodes in the network, plays a key role in stopping diseases from spreading. Hence the importance of having tools or strategies that allow the solving of this challenge. In this paper, we evaluate the effectiveness of the DIL-Wα ranking in immunizing nodes in an edge-weighted network with 3866 nodes and 6,841,470 edges. The network is obtained from a real database and the spread of COVID-19 was modeled with the classic SIR model. We apply the protection to the network, according to the importance ranking list produced by DIL-Wα, considering different protection budgets. Furthermore, we consider three different values for α; in this way, we compare how the protection performs according to the value of α.
  • Miniatura
    Ítem
    Protection Strategy for Edge-Weighted Graphs in Disease Spread
    (MDPI, 2021) Manríquez, Ronald; Guerrero-Nancuante, Camilo; Taramasco, Casrla
    Fake news, viruses on computer systems or infectious diseases on communities are some of the problems that are addressed by researchers dedicated to study complex networks. The immunization process is the solution to these challenges and hence the importance of obtaining immunization strategies that control these spreads. In this paper, we evaluate the effectiveness of the DIL-Wα ranking in the immunization of nodes that are attacked by an infectious disease that spreads on an edge-weighted graph using a graph-based SIR model. The experimentation was done on real and scale-free networks and the results illustrate the benefits of this ranking.
  • Miniatura
    Ítem
    Spread of Epidemic Disease on Edge-Weighted Graphs from a Database: A Case Study of COVID-19
    (MDPI, 2021) Manríquez, Ronald; Guerrero-Nancuante, Camilo; Martínez, Felipe; Taramasco, Carla
    The understanding of infectious diseases is a priority in the field of public health. This has generated the inclusion of several disciplines and tools that allow for analyzing the dissemination of infectious diseases. The aim of this manuscript is to model the spreading of a disease in a population that is registered in a database. From this database, we obtain an edge-weighted graph. The spreading was modeled with the classic SIR model. The model proposed with edge-weighted graph allows for identifying the most important variables in the dissemination of epidemics. Moreover, a deterministic approximation is provided. With database COVID-19 from a city in Chile, we analyzed our model with relationship variables between people. We obtained a graph with 3866 vertices and 6,841,470 edges. We fitted the curve of the real data and we have done some simulations on the obtained graph. Our model is adjusted to the spread of the disease. The model proposed with edge-weighted graph allows for identifying the most important variables in the dissemination of epidemics, in this case with real data of COVID-19. This valuable information allows us to also include/understand the networks of dissemination of epidemics diseases as well as the implementation of preventive measures of public health. These findings are important in COVID-19’s pandemic context.