Survival Analysis of COVID-19 Infected Patients in the State of Rio Grande do Norte

Abstract

The present study aims to investigate the determinants of probability and survival time of those infected by the new coronavirus in the state of Rio Grande do Norte. For this purpose, the official microdata of COVID-19 notifications available by the Secretary of State for Public Health (SESAP-RN) was used to estimate the survival function from the Kaplan-Meier method (1958) and the Cox risk model (1972). A cohort of 13,738 confirmed cases of COVID-19 in the state between 03/09/2020 and 06/12/2020 was analyzed. The results indicated a decrease in the probability of survival of the infected over time and that age, the preexisting comorbidities such as systemic arterial hypertension, obesity, chronic kidney diseases, and the Region of Health and the residence district influence the probability of survival of those infected with COVID-19 in the Rio Grande do Norte, corroborating international evidence.