SARS-CoV-2 representación multivariable entre países de América del Sur mediante Biplot dinámico y modelado ARIMA de contagios y letalidad
Cargando...
Fecha
2022-12-17
Título de la revista
ISSN de la revista
Título del volumen
Editor
Facultad de Ingeniería Industrial: Universidad de Guayaquil
Resumen
El coronavirus (COVID-19) es una enfermedad infecciosa causada por el virus del SARS-CoV-2 que ha generado una crisis sanitaria a nivel mundial. El 11 de marzo del 2020 dicha enfermedad fue catalogada como pandemia, las regiones más afectadas fueron Latino América y el Caribe, debido a varios factores como densidad poblacional, incapacidad en los sistemas sanitarios, entre otras. En el presente estudio se realizará un análisis general de los datos de contagios y muertes de diez países de América del Sur, con la finalidad de identificar qué país ha manejado mejor la pandemia según sus resultados de contagio y letalidad. Se realizo una predicción para el número de contagios y muertes causadas por la Covid-19,utilizando datos notificados a la OMS (Organización mundial de la salud).Para este estudio se utilizó el modelo ARIMA y el método Biplot dinámico para la representación del análisis, donde se encontró que Ecuador tiene una alta tasa de letalidad con respecto a los países analizados, y Perú un mayor número de muertos producto de la enfermedad
The coronavirus(COVID-19) is an infectious disease caused by the SARS-CoV-2 virus that has generated a global health crisis. On March 11, 2020, thisdisease was classified as a pandemic, the most affected regions were Latin America and the Caribbean, due to various factors such as population density, and incapacity in health systems, among others. In this study, a general analysis of the data on infections and deaths from ten South American countries will be carried out, to identify which country has best managed the pandemic according to its contagion and lethality results. A prediction was made for the number of infections and deaths caused by Covid-19, using data reported to the WHO (World Health Organization). The ARIMA model and the dynamic Biplot method were used for this study to represent the analysis. It was found that Peru has a high case fatality rate compared to the countries analyzed, and Peru has a higher number of deaths from the disease
The coronavirus(COVID-19) is an infectious disease caused by the SARS-CoV-2 virus that has generated a global health crisis. On March 11, 2020, thisdisease was classified as a pandemic, the most affected regions were Latin America and the Caribbean, due to various factors such as population density, and incapacity in health systems, among others. In this study, a general analysis of the data on infections and deaths from ten South American countries will be carried out, to identify which country has best managed the pandemic according to its contagion and lethality results. A prediction was made for the number of infections and deaths caused by Covid-19, using data reported to the WHO (World Health Organization). The ARIMA model and the dynamic Biplot method were used for this study to represent the analysis. It was found that Peru has a high case fatality rate compared to the countries analyzed, and Peru has a higher number of deaths from the disease
Descripción
jpg
Palabras clave
CORONAVIRUS, ARIMA, BIPLOT, COVID-19