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Abstract
to determine a recovery model for malaria sufferers based on Cox regression and determine the factors that influence the recovery of malaria sufferers in West Lombok Regency.
Based on the survival analysis results with the Cox Proportional hazard Regression method, the best model was obtained with two significant variables affecting the recovery time of malaria patients: the parasite type variable and the incidence of pregnancy or not getting pregnant. The model can be interpreted based on hazard ratio values that the variable type of parasite category Plasmodium vivax has a probability of being able to recover within one month of treatment by 2,542 times faster than Plasmodium falciparum. In comparison, the type of parasite in the Plasmodium mix category has a probability of being able to recover within one month of treatment 1.108 times faster than Plasmodium vivax, and for the pregnant or non-pregnant variables for the category of pregnant patients had a 2,307 times faster probability of recovery within one month of treatment compared to non-pregnant patients.
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References
- Austin, P. C., Michael J. L., and Ewout W. S. (2017). Predictive Accuracy of Novel Risk Factors and Markers: A Simulation Study of the Sensitivity of Different Performance Measures for the Cox Proportional Hazards Regression Model. Institute for Clinical Evaluative Sciences, Toronto, Canada. Journal of SMMR, 26(3), 1053-1077.
- Gayatri, D. (2005). Mengenal Analisis Ketahanan (Survival Analysis). Indonesia. Indonesian Journal of Nursing, 9(1), 36-40.
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- Kleinbaum, D. G., and Klein M. (2012). Survival Analysis: A Self-Learning Text, Third Edition. Springer. New York.
- Pahlevi, M. R., Mustafid., dan Wuryandari T. (2016). Model Regresi Cox Stratified pada Data Ketahanan. Semarang: UNDIP. Journal Gaussian, 5(3), 455-464.
- Qomaria, T., Fatekurohman M., dan Anggraeni D. (2019). Aplikasi Model Cox Proportional Hazard pada Pasien Stroke RSD Balung Kabupaten Jember. Journal of Applied Statistics, 2(2), 94-112.
- Rahmadeni dan Syofia Ranti. (2016). Perbandingan Model Regresi Cox Menggunakan Estimasi parameter Efron Partial Likelihood dan Breslow Partial Likelihood. Riau: UIN Sultan Syarif Kasim. Seminar Nasional Teknologi Informasi, Komunikasi dan Industri (SNTIKI). Hal. 421-430.
- Rinni, Berlian A., Wuryandari T., and Rusgiyono A. (2014). Modelling the Recovery Rate of Inpatients with Typus Abdominalis (Typhoid Fever) Using the Proportional Hazard Failure Regression Model (Case Study at Semarang City Regional Hospital). Semarang: UNDIP. Journal Gaussian, 3(1), 31-40.
- West Nusa Tenggara Provincial Health Office. (2019). Profil Kesehatan Provinsi Nusa Tenggara Barat 2019. West Nusa Tenggara: West Nusa Tenggara Health Office.
References
Austin, P. C., Michael J. L., and Ewout W. S. (2017). Predictive Accuracy of Novel Risk Factors and Markers: A Simulation Study of the Sensitivity of Different Performance Measures for the Cox Proportional Hazards Regression Model. Institute for Clinical Evaluative Sciences, Toronto, Canada. Journal of SMMR, 26(3), 1053-1077.
Gayatri, D. (2005). Mengenal Analisis Ketahanan (Survival Analysis). Indonesia. Indonesian Journal of Nursing, 9(1), 36-40.
Hutahaean, Landang P., Mukid Moch. A., dan Wuryandari T. (2014). Model Regresi Cox Proportional Hazards pada Data Lama Studi Mahasiswa. Semarang: UNDIP. Jurnal Gaussian, Vol. 3, No. 2, Hal. 173-181.
Kleinbaum, D. G., and Klein M. (2012). Survival Analysis: A Self-Learning Text, Third Edition. Springer. New York.
Pahlevi, M. R., Mustafid., dan Wuryandari T. (2016). Model Regresi Cox Stratified pada Data Ketahanan. Semarang: UNDIP. Journal Gaussian, 5(3), 455-464.
Qomaria, T., Fatekurohman M., dan Anggraeni D. (2019). Aplikasi Model Cox Proportional Hazard pada Pasien Stroke RSD Balung Kabupaten Jember. Journal of Applied Statistics, 2(2), 94-112.
Rahmadeni dan Syofia Ranti. (2016). Perbandingan Model Regresi Cox Menggunakan Estimasi parameter Efron Partial Likelihood dan Breslow Partial Likelihood. Riau: UIN Sultan Syarif Kasim. Seminar Nasional Teknologi Informasi, Komunikasi dan Industri (SNTIKI). Hal. 421-430.
Rinni, Berlian A., Wuryandari T., and Rusgiyono A. (2014). Modelling the Recovery Rate of Inpatients with Typus Abdominalis (Typhoid Fever) Using the Proportional Hazard Failure Regression Model (Case Study at Semarang City Regional Hospital). Semarang: UNDIP. Journal Gaussian, 3(1), 31-40.
West Nusa Tenggara Provincial Health Office. (2019). Profil Kesehatan Provinsi Nusa Tenggara Barat 2019. West Nusa Tenggara: West Nusa Tenggara Health Office.