Survival Analysis Of Health Rate Of Covid-19 Patients Using Kaplan-Meier Method At Islamic Hospital In Surabaya A. Yani

Author:

Iqbal Iqbal Firdaus,Ibad Mursyidul,Setianto Budhi,Syafiuddin Achmad

Abstract

Corona Virus Disease2019 (COVID-19) is a disease that shocked the world at the end of 2019. Based on data, positive cases of Covid-19 in Indonesia on July 29, 2021 reached 3,331,206 people, with 3,240,654 Covid-19 patients recovering and 90,552 Covid-19 patients dying. Meanwhile in the city of Surabaya there were 52,782 confirmed cases with 50,894 patients recovered and 1,888 patients died. The high death rate shows that this virus is dangerous, but the cure rate is also high. A survival analysis is needed to determine the patient's survival time (cured) for Covid-19. This research was conducted non-reactively using secondary data in the form of medical records of Covid-19 patients at the Surabaya A. Yani Islamic Hospital in January-July 2021. The results of the study using the Kaplan-Meier method found that the survival time based on age was 12,423 days, the survival time based on gender was 12,078 days, the survival time based on Early Symptoms was 11,461 days and the survival time based on SpO2 capacity was 16,787 days. The conclusions of this study indicate that, age affects the survival time of respondents where the 27-36 year interval has a better survival time than the other respondents' age intervals. The female sex has a better survival time than the male. Initial symptoms determine the severity and duration of recovery for respondents. SpO2 capacity is directly proportional to the degree of patient safety, the higher the percentage of SpO2 capacity, the greater the chance of survival and the lower the percentage of SpO2 capacity, the lower the expectation.

Publisher

Universitas Nahdlatul Ulama Surabaya

Subject

General Engineering,Energy Engineering and Power Technology

Reference22 articles.

1. Sobihin. Metode Penelitian Survival Analysis. Http://B11nk.Wordpress.Com/2014/11/19/Metode-Penelitian-Survivalanalysis/. 2014.

2. Hidayat R. Penggunaan Metode Kaplan-Meier Dan Life Table Analisis Survival Untuk Data Tersensor. J Din. 2016;07(1):1–8.

3. Audina B, Fatekurohman M, Matematika J, Matematika F, Alam P, Jember U, Et Al. Analisis Survival Pada Data Pasien Covid 19 Di Kabupaten Jember. 2020;(4):118–21.

4. Aritonang K, Tan A, Ricardo C, Surjadi D, Fransiscus H, Pratiwi L, Et Al. Analisis Pertambahan Pasien COVID-19 Di Indonesia Menggunakan Metode Rantai Markov. J Rekayasa Sist Ind. 2020;9(2):69–76.

5. Multazamiyah SA, Sary L, Aryastuti N. Analisis Survival Waktu Sembuh Pasien COVID-19 Di Rumah Sakit Pertamina Bintang Amin Bandar Lampung. J Med … [Internet]. 2021;2020. Available From: Http://E-Jurnal.Iphorr.Com/Index.Php/Msc/Article/View/130

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3