Effect of Covid-19 Patients Flow Rate from ER to LPD on Covid-19 Patients Healing Rates at RSUP Dr. Sardjito’s ER

• Main Authors: Arifin, Muchammad Choerul, Muna, Naelufa Syifna Wifaqotul, Yuliana, Arizka, Mahardika, Lingga Sanjaya Putra, Santoso, Albert Hosea, Ertiningsih, Dwi
• Format: Article PeerReviewed
• Language: English
• Published: J. lndones. Math. Soc. (MIHMI) 2022
• Subjects: Mathematics and Applied Sciences
• Online Access: https://repository.ugm.ac.id/278740/1/Arifin_MIPA.pdf; https://repository.ugm.ac.id/278740/; https://jims-a.org/index.php/jimsa/article/view/1041; https://doi.org/10.22342/jims.28.2.1041.173-184
• Institution: Universitas Gadjah Mada

COVID-19 or Coronavirus Disease-19 which first appeared in December 2019 has spread around the world, one of which is Indonesia. The spread of the COVID-19 has affected all areas of human life and the most affected area is health. It can be known from the number of COVID-19 patients in numerous national referral hospitals, one of which is RSUP Dr. Sardjito. This large number of COVID-19 patients often causes a high number of bed occupancy rates and has an impact on special rooms, the room for COVID-19 patients who come to the hospital for the first time or the Emergency Room (ER) and the room for COVID-19 patients from the ER who is declared seriously ill or inpatient (Long-stay Patient Department, LPD). Furthermore, imbalance between the number of ER, LPD, and the number of COVID-19 patients yield the flow rate of COVID-19 patients from the ER to the LPD is decreasing. To find out the impact of flow rate, this research is conducted by using Richard’s Curve and Kaplan-Meier Estimator. The results of this research show effect of flow rate which can be observed from the probability of COVID-19 patients who recovered or died in each special room. The probability of a COVID-19 patient in the ER recovered is greater than the probability of a patient died. Meanwhile, the probability of a COVID-19 patient in the LDP recovered is smaller than the probability of a patient died.