Analisis Survival Waktu Sembuh Pasien Covid-19 Di Kabupaten Banyuwangi

Sulantari, Sulantari; Hariadi, Wigid

doi:10.36526/tr.v4i2.1001

Cited by 11 publications

(14 citation statements)

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“…This function is left unspecified [23]. Unknown means it is non-parametric [15], although the AFT is a parametric model.…”

Section: D) Log-logistic Distributionmentioning

confidence: 99%

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Comparison of Different Underlying Distributions in The Accelerated Failure Time (AFT) Model on Mortality of Covid-19 Patients

Meiza¹,

Awaluddin²,

Hidayah³

et al. 2022

InPrime:Ind.Jour.Pure.Applied.Math

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In 2022, the COVID-19 virus is still making headlines in various mass media because it is a virus that is very dangerous to health. The world health organization, WHO, explained that the virus caused a global pandemic that infected the whole world. The condition of a pandemic has not yet turned into an endemic. Based on the total confirmed COVID-19 positive cases, Indonesia ranks 18th in the world out of 222 infected countries. To determine the influence factors on COVID-19 cases, survival analysis is one of the techniques that could be applied. One of the most commonly used models in survival analysis is Accelerated Failure Time (AFT) model. In the AFT model, it is required to check assumptions regarding the feasibility of the distribution form. In this study, the distributions used are Weibull, Exponential, Log-normal, and Log-logistics distributions. We compare each distribution to get the best model to analyze death cases due to COVID-19. Comparisons are made by comparing the AIC values of each distribution. The best model is selected based on the smallest AIC value. The AFT model with a log-normal distribution is selected as the best model with an AIC value of 142.763. The AIC value for this log-normal distribution is the smallest compared to the AIC value for other distributions.Keywords: accelerated failure time model; COVID-19; mortality analysis; survival analysis. AbstrakTahun 2022, virus COVID-19 masih menjadi berita utama di berbagai media massa karena merupakan salah satu virus yang sangat berbahaya bagi kesehatan. Badan organisasi kesehatan dunia, WHO menjelaskan bahwa virus menyebabkan terjadinya pandemi global yang menginfeksi seluruh dunia. Kondisi pandemi masih belum berubah menjadi endemi. Dari total yang terkonfirmasi positif COVID-19 Indonesia menduduki posisi ke-18 di dunia dari 222 negara yang terinfeksi. Untuk mengetahui faktor-faktor yang berpengaruh terhadap COVID-19 dan untuk menentukan model dari COVID-19 ini salah satunya dapat dilakukan dengan analisis survival. Salah satu model survival yang digunakan yaitu model Accelerated Failure Time (AFT). Dalam model AFT ini diharuskan melakukan pengecekan asumsi-asumsi mengenai kelayakan bentuk distribusi. Pada penelitian ini distribusi yang digunakan yaitu distribusi Weibull, Eksponensial, Log-normal, dan Log-logistik. Dilakukan perbandingan antar tiap distribusi untuk mendapatkan model terbaik yang dapat digunakan dalam menganalisis kasus kematian akibat COVID-19. Perbandingan dilakukan dengan membandingkan nilai AIC dari setiap distribusi. Hasil penelitian memilih model AFT dengan distribusi log-normal sebagai model terbaik dengan nilai AIC sebesar 142,763. Nilai AIC untuk distribusi log-normal ini paling kecil dibandingkan dengan nilai AIC untuk distribusi lainnya.Kata Kunci: analisis mortalitas; analisis survival; COVID-19; model accelerated failure time. 2020MSC: 62P10

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“…This function is left unspecified [23]. Unknown means it is non-parametric [15], although the AFT is a parametric model.…”

Section: D) Log-logistic Distributionmentioning

confidence: 99%

“…Crowther et al [14] use the AFT model to accommodate time-dependent acceleration factors in breast cancer. Sulantari and Hariadi [15] model the time recovery of COVID-19 patients using the Kaplan-Meier method and the Log-Rank test on COVID-19 patients. The application of the AFT model in the insurance sector [16].…”

Section: Introductionmentioning

confidence: 99%

Comparison of Different Underlying Distributions in The Accelerated Failure Time (AFT) Model on Mortality of Covid-19 Patients

Meiza¹,

Awaluddin²,

Hidayah³

et al. 2022

InPrime:Ind.Jour.Pure.Applied.Math

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“…Sebanyak 5 orang masuk dalam pemantauan telah dilakukan pemeriksaan dari Puskesmas, yang selanjutnya diarahkan melakukan isolasi mandiri di rumah, dan selesai masa pantau 14 hari. Sebanyak 6 orang yang masuk dalam pemantauan, juga diperiksa pihak Puskesmas dan diarahkan melakukan isolasi mandiri di rumah (Sulantari et al, 2020).…”

Section: Pendahuluanunclassified

The Correlation in The Anxiety of Pregnant Women Third Trimester With The Coverage of Antenatal Care During The Covid-19 Pandemic in Kertosari Village Banyuwangi

Hakiki

Widiyastuti

Andarwulan

2022

EMB

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Pregnancy is a natural process. Changes that occur in women during normal pregnancy are physiological, the care provided by minimize intervention. The impact of the Covid-19 pandemic on pregnant women is the emergence of a concern/anxiety related to neonatal growth and development. Therefore, pregnant women need special attention regarding prevention, diagnosis, and management. Anxiety is a state of understanding or worrying that something bad will happen. According to WHO policy, the standard of care for pregnancy is at least 4 visits, one time visit in the 1st trimester, one time visit in the 2nd trimester, two time visit in the 3nd trimester. The study aims to identify the anxiety of pregnant women during the Covid-19 pandemic, to identify the coverage of antenatal care and to analyze the relationship between the anxiety of third trimester pregnant women during the Covid-19 pandemic and the coverage of antenatal care.Cross sectional research design. The population is all third trimester pregnant women in Kertosari Village. The sample taken is 35 respondents, using purposive sampling technique. Collecting data using questions for the anxiety of pregnant women and coverage of antenatal care. Data analysis using Chi Square test with significant results 0.005 where significant 0.005 > 0.05. It was concluded that there was a positive correlation between the anxiety of pregnant women in the third trimester of coverage of antenatal care during the Covid-19 pandemic. So it can be said that the high anxiety of pregnant women in the third trimester will cause low antenatal care visits.

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“…Beberapa penelitian menggunakan analisis survival diberbagai kasus seperti analisis survival pada kasus finasial [7][8], termasuk pada kasus COVID-19 [9] [10]. Disamping itu, terdapat penelitian yang menggunakan analisis survival dengan melibatkan Regresi Weibull seperti yang dilakukan oleh Solehah dan Fatekurohman [6] serta Lukitasari, dkk [11] dan Baghestani, dkk [12].…”

Section: Pendahuluanunclassified

Analisis Survival Menggunakan Regresi Weibull Pada Laju Kesembuhan Pasien Tuberkulosis Paru Di Rsud Aloei Saboe Kota Gorontalo

Hasan¹,

Pakaya

Achmad

et al. 2021

Euler J. Ilm. Mat. Sains dan Teknol.

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This study was aimed at discussing survival analysis in Pulmonary Tuberculosis patients in Aloei Saboe using Weibull regression to find out the factors that influence the patient’s recovery rate. To analyze the survival time, the Kaplan-Meier curve is used then the process continues into Log-Rank Test to see the differences between groups in a curve. Weibull Regression is used to determine the significant factors based on a log-rank test in the rate of recovery of Pulmonary Tuberculosis patients. The results of the study concluded age, shortness of breath, fever, cough, history of illness and smoking habits are factors that significantly influence the rate of recovery of Pulmonary Tuberculosis patients.

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Analisis Survival Waktu Sembuh Pasien Covid-19 Di Kabupaten Banyuwangi

Cited by 11 publications

References 0 publications

Comparison of Different Underlying Distributions in The Accelerated Failure Time (AFT) Model on Mortality of Covid-19 Patients

Comparison of Different Underlying Distributions in The Accelerated Failure Time (AFT) Model on Mortality of Covid-19 Patients

The Correlation in The Anxiety of Pregnant Women Third Trimester With The Coverage of Antenatal Care During The Covid-19 Pandemic in Kertosari Village Banyuwangi

Analisis Survival Menggunakan Regresi Weibull Pada Laju Kesembuhan Pasien Tuberkulosis Paru Di Rsud Aloei Saboe Kota Gorontalo

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