Analisis Regresi Logistik Multinomial pada Faktor-Faktor yang Mempengaruhi Status Pasien Covid-19 di Kota Depok

Abstract

This study aims to analyze the effect of the relationship between the status of COVID-19 patients on the factors that influence COVID-19 in Depok City with multinomial logistic regression. Data were collected using a questionnaire with a snowball sampling technique. The responses used in this study were suspected, confirmed, and close contact, where the variable is the type of status of the COVID-19 patient. The predictor variables in this study were age, gender, location of residence, living conditions, type of work, information, lifestyle, contact history, and health facilities, where these variables are factors that influence the status of COVID-19 patients in Depok City. The results of the model fit test using the Pearson test obtained a P-value > 5% , so it can be said that there is no difference between the observed and predicted models; in other words, the resulting model is used. The results obtained are very significant variables between the status of COVID-19 and the factors that influence it in Depok City, namely lifestyle with the category of exercise, contact history with the type of fewer than three days. The odds obtained from each COVID-19 patient status in Depok City are 0.000000036 in the confirmed category, 0.999 in the close contact category, and 0.00000048 in the suspect category.