Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Medicine and Health Sciences
Anxiety, Depression, Somatization And Experiential Avoidance Indicators In Peruvian University Students In Quarantine By Covid-19, Héctor Sánchez Carlessi, Luis Yarlequé Chocas, Leda Javier Alva, Edith Nuñez Llacuachaqui, Carlos Arenas Iparraguirre, Maria Matalinares Calvet, Eduardo Gutiérrez Santayana, Irma Egoavil Medina, Jorge Solis Quispe, Ceyda Fernandez Figueroa
Anxiety, Depression, Somatization And Experiential Avoidance Indicators In Peruvian University Students In Quarantine By Covid-19, Héctor Sánchez Carlessi, Luis Yarlequé Chocas, Leda Javier Alva, Edith Nuñez Llacuachaqui, Carlos Arenas Iparraguirre, Maria Matalinares Calvet, Eduardo Gutiérrez Santayana, Irma Egoavil Medina, Jorge Solis Quispe, Ceyda Fernandez Figueroa
Revista de la Facultad de Medicina Humana
Introduction: The COVID-19 quarantine has greatly affected university students in Peru, generating a series of physical, psychological and behavioral effects. Objective: To determine the factors associated with anxiety, depression, somatization and experiential avoidance in peruvian university students quarantined by COVID-19. Methods: A cross-sectional observational study was carried out. The sample was made up of 1264 university students from various departments of Peru, anxiety, depression, somatization and experiential avoidance were taken as dependent variables, which were evaluated with the questionnaire "The Inventory of unadjusted psychosocial behavior, in the presence of COVID-19 in the Peruvian population” and the AAQ II, for the …
Application Of The Integrated Autoregressive Method Of Moving Averages For The Analysis Of Series Of Cases Of Covid-19 In Peru, Daniel Cordova Sotomayor, Flor Santa Maria Carlos
Application Of The Integrated Autoregressive Method Of Moving Averages For The Analysis Of Series Of Cases Of Covid-19 In Peru, Daniel Cordova Sotomayor, Flor Santa Maria Carlos
Revista de la Facultad de Medicina Humana
Objective: To estimate an Integrated Autoregressive Moving Average model (ARIMA) for the analysis of series of COVID-19 cases, in Peru. Methods: The present study was based on a univariate time series analysis; The data used refer to the number of new accumulated cases of COVID-19 from March 6 to June 11, 2020. For the analysis of the fit of the model, the autocorrelation coefficients (ACF), the unit root test of Augmented Dickey-Fuller (ADF), the Normalized Bayesian Information Criterion (Normalized BIC), the absolute mean percentage error (MAPE) and the Box-Ljung test. Results: The prognosis for COVID-19 cases, between June 12 and …