Model Regresi Cox Proportional Hazard Weibull Pada Data Waktu Rawat Inap Pasien Penderita Covid-19 Di RSUD Abdul Wahab Sjahranie Samarinda

Afwan Azizy; Suyitno Suyitno; Meiliyani Siringoringo

Afwan Azizy Jurusan Matematika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Mulawarman
Suyitno Suyitno Jurusan Matematika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Mulawarman, Indonesia
Meiliyani Siringoringo Jurusan Matematika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Mulawarman, Indonesia

Abstract

Coronavirus disease 2019 or known as COVID-19 is a dangerous infectious disease that is spreading in various parts of the world, one of which is Indonesia. Efforts made by the government to prevent transmission of COVID-19 are imposing strict health protocols, maintaining environmental cleanliness, and carrying out COVID-19 vaccinations for the entire community. Another prevention effort that can be carried out is to provide information through statistical modeling, namely the Cox Proportional Hazard Regression model ( PH) Weibull. The purpose of this study was to obtain the factors that influence the death rate of inpatients with COVID-19 at Abdul Wahab Sjahranie Hospital Samarinda in 2022. The research data is data on the length of stay of patients with COVID-19 at Abdul Wahab Sjahranie Hospital Samarinda in 2022 with events mortality and covariate data consisting of age, sex, temperature, symptoms, oxygen saturation, body weight, and history of comorbidities. The conclusion of the study is that the factors that influence the death rate of patients with COVID-19 are age and symptoms of COVID-19 in patients. The death rate of patients with COVID-19 who are 1 year older is 1.016 times the death rate of patients with COVID-19 who are younger 1 year and the death rate of patients who have symptoms of COVID-19 is 0.312 times that of patients who do not have symptoms of COVID-19 .

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