Analisis Survival Model Regresi Cox Pada Lama Waktu Sembuh Pasien Gejala Sedang Covid-19
Abstract
Survival analysis Model is one of the statistical analysis that can be used to test the survival function of an event. Survival analysis can be applied to health cases. The Kaplan-Meier test and cox proportional hazard regression analysis are part of the survival analysis. One of the health problems that Indonesia and the world are facing today is the virus covid-19 case. The country of Indonesia is one of the countries that experienced the impact of the virus covid-19. In Jember Regency, as of October 23, 2020, the number of patients who were confirmed positive was 1,098 patients with 85.52% having recovered, and 5.01% having died. Seeing the high number of positive cases of Covid-19 in Jember Regency, the authors want to conduct a study on the survival analysis of cox regression model on the long time of recovery of patients with moderate symptoms of covid-19 in the Jember region, especially in RSD Dr. Soebandi Jember. The results of this analysis are: (1) survival function of patients with moderate symptoms of Covid-19 at RSD dr Soebandi Jember, for female patients, it has a faster recovery time than patients with male sex. (2) survival function of patients with moderate symptoms of Covid-19 at RSD dr Soebandi Jember, for patients who do not have comorbid have a longer recovery time faster than patients who have comorbid. And (3) the variables of sex and comorbid status affect the length of time to recover patients with moderate symptoms of covid-19 at RSD Dr. Soebandi Jember. With the likelihood ratio (LRT) is 3.5255 for gender variables, and 16.5221 for comorbid status variables
Abstrak
Model analisis survival adalah salah satu analisis statistik yang dapat digunakan untuk menguji fungsi survival suatu kejadian. Analisis survival dapat dapat diterapkan pada kasus kesehatan. Uji Kaplan-Meier dan analisis regresi cox proporsional hazard merupakan bagian dari analisis survival. Salah satu permasalahan kesehatan yang sedang dihadapi Indonesia dan Dunia saat ini adalah kasus virus covid-19. Negara Indonesia merupakan salah satu Negara yang mengalami dampak virus covid-19. Di Kabupaten Jember, per-tanggal 23 Oktober 2020, jumlah pasien yang terkonfirmasi positif sebanyak 1.098 pasien dengan 85,52% telah sembuh, dan 5,01% meninggal dunia. Melihat tingginya kasus positif Covid-19 di Kabupaten Jember, maka penulis ingin melakukan penelitian tentang analisis survival model regresi cox pada lama waktu sembuh pasien gejala sedang covid-19 di Wilayah Jember, khususnya di RSD dr Soebandi Jember. Hasil dari analisis ini yakni: (1) fungsi survival pasien gejala sedang Covid-19 di RSD dr Soebandi Jember, untuk pasien jenis kelamin perempuan memiliki lama waktu sembuh yang lebih cepat dibandingkan pasien dengan jenis kelamin laki-laki. (2) fungsi survival pasien gejala sedang Covid-19 di RSD dr Soebandi Jember, untuk pasien yang tidak memiliki comorbid mempunyai lama waktu sembuh yang lebih cepat dibandingkan pasien yang memiliki comorbid. Dan (3) variabel jenis kelamin dan status comorbid berpengaruh terhadap lama waktu sembuh pasien gejala sedang covid-19 di RSD dr Soebandi Jember. Dengan nilai likelihood rationya (LRT) adalah sebesar 3.5255 untuk variabel jenis kelamin, dan 16.5221 untuk variabel status comorbid.
References
[2] Fadli, R.2020. Coronavirus. https://www.halodoc.com/kesehatan/ coronavirus. 30 April 2022.
[3] Hanni, T., Wuryandari, T. 2013. Model Regresi Cox Proporsional Hazard Pada Data Ketahanan Hidup. Jurnal Media Statistika, Vol 6, No 1 : 11 – 20.
[4] Hariadi, W., & Sulantari. 2021. Analisis Survival Lama Waktu Sembuh Pasien Covid-19 Dengan Metode Kaplan-Meier dan Log-Rank di Kabupaten Jember. Transformasi: Jurnal Pendidikan Matematika dan Matematika. Vol 5, No 1: 416 - 425
[5] Lee, E. T., & Wang, J.W. 2003. Statistical Methods for Survival Data Analysis (Third). Canada: John Wwiley & Sons, Inc.
[6] Maryska, C. 2022. Evaluasi Kombinasi Isoprinosine Dengan Berbagai Antivirus Yang Digunakan Pada Pengobatan Pasien Covid-19 di RSD dr. Soebandi Jember. UNAIR Press. Surabaya.
[7] Pahlevi, M.R., Mustafid, & Wuryandari, T. 2016. Model Rregresi Cox Stratified Pada Data Ketahanan. Jurnal Gaussian, Vol 5, No3: 455 – 464.
[8] PDPI. 2022. Pedoman Tatalaksana Covid-19 edisi 4. PDPI. Jakarta
[9] PDPI. 2020. Pedoman Tatalaksana Covid-19 edisi 3. PDPI. Jakarta.
[10] Sulantari., & Hariadi, W. 2020. Analisis Survival Waktu Sembuh Pasien Covid-19 di Kabupaten Banyuwangi. Transformasi: Jurnal Pendidikan Matematika dan Matematika. Vol 4, No 2: 375 – 386.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish in UJMC (Unisda Journal of Mathematics and Computer Science) agree to the following terms:
1.Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY-SA 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
2.Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
3.Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
