Open access Jurnal
Survival Analysis of Covid-19 Patients Based on Time of Recovery
Jurnal Matematika, Statistika dan Komputasi · Vol. 18 No. 3 (2022) · pp. 456–474
- ISSN
- 2614-8811, 1858-1382
- Published
- 2022-05-15
- Publisher
- Department of Mathematics, Hasanuddin University
- Language
- en
Abstract
English
Corona virus is a virus that can cause the respiratory tract to become infected, and this viral infection is called COVID-19. This virus spreads so fast that it has spread to several countries, including Indonesia. In Indonesia, COVID-19 was detected in early March, precisely on March 2, 2020. The uncertain increase in the number of COVID-19 patients will have an impact on society and the country. This condition is compounded by the high number of deaths due to the COVID-19 virus. Therefore, this study was conducted to analyze survival based on the healing rate of COVID-19 patients, in order to obtain information about the time period and the factors that cause a person with COVID-19 to survive. The method used in the survival analysis is the Kaplan-Meier test as a counter to the estimated recovery time of COVID-19 patients and the Log-Rank test to test for differences in the survival function of the recovery time of COVID-19 patients in the two groups. Kaplan-Meier and Log-Rank tests are part of the non-parametric method which is a statistical test that does not require any assumptions about the distribution of population data. The data used is data on COVID-19 patients at the Malahayati Hospital from January to May 31, 2021. The conclusion obtained is the survival function curve / length of time on the recovery rate of COVID-19 patients based on gender, age, and positive and suspected COVID-19 patients. with and without comorbidities. However, based on the Log-Rank test with = 0.05, it was concluded that there was no significant difference in the length of time for recovery of COVID-19 patients based on gender, age and positive patients and patients with suspected COVID-19 with comorbid and without comorbidities.
Bahasa Indonesia
Corona virus adalah virus yang dapat membuat saluran pernapasan mengalami infeksi, dan infeksi virus ini disebut dengan COVID-19. Virus ini menyebar dengan sangat cepat hingga telah menyebar ke beberapa negara, termasuk Indonesia. Di Indonesia, COVID-19 terdeteksi pada awal bulan Maret tepatnya pada 2 Maret 2020. Kota Medan memiliki jumlah terkonfirmasi positif COVID-19 terbanyak di Sumatera Utara yaitu 18.522 orang. Selain jumlah terkonfirmasi positif, di kota Medan juga tercatat angka kematian sebanyak 631 pasien dan menjadi kota dengan jumlah meninggal terbanyak di Provinsi Sumatera Utara. Kota Medan mencatat pasien yang sembuh dari COVID-19 adalah sebanyak 16.596 pasien. Peningkatan jumlah pasien COVID-19 yang tidak menentu akan berdampak bagi masyarakat dan Negara. Hingga peneliti melakukan penelitian dengan maksud untuk mencari fungsi survival/lama waktu pada laju kesembuhan pasien COVID-19 di salah satu rumah sakit kota Medan yaitu RSI Malahayati Medan. Tingginya angka kematian dikarenakan virus COVID-19 ini sangat berbahaya bagi masyarakat. Untuk itu dilakukan analisis survival pada waktu laju kesembuhan pasien COVID-19 di RSI Malahayati dengan uji Kaplan-Meier sebagai penghitung estimasi waktu sembuh pasien COVID-19 dan uji Log-Rank untuk menguji adanya perbedaan pada fungsi survival waktu sembuh pasien COVID-19 pada dua kelompok. Data yang digunakan adalah data pasien COVID-19 di RSI Malahayati sejak Januari sampai 31 Mei 2021. Kesimpulan yang diperoleh adalah kurva fungsi survival/lama waktu pada laju kesembuhan pasien COVID-19 berdasarkan jenis kelamin, usia, dan pasien positif serta suspect COVID-19 dengan komorbid dan tanpa komorbid. Namun berdasarkan uji Log-Rank dengan α=0.05, disimpulkan tidak terdapat perbedaan yang signifikan pada lama waktu sembuh pasien COVID-19 berdasarkan jenis kelamin, usia dan pasien positif serta pasien suspect COVID-19 dengan komorbid dan tanpa komorbid.
Keywords
Collaboration network of the authors
11 authors · 17 co-authorship links
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- Hasanuddin University
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Muhammad Arib Alwansyah | Affiliation unknown | 2 |
| Nur Afandi | Hasanuddin University | 1 |
| Novia Riningsih | Affiliation unknown | 1 |
| Ismail Husein | Affiliation unknown | 1 |
| Sigit Nugroho | Affiliation unknown | 1 |
| Muhammad Arib Alwansyah | Affiliation unknown | 1 |
| Siska Yosmar | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.