MENENTUKAN KEBIJAKAN PEMERINTAH KOTA PADANG MELALUI SIMULASI PERMODELAN SEIR KASUS COVID 19

Prima Kurniati Hamzah, Wakidul Kohar, Ahmad Fauzi, Ozzy S Riza

Abstract


Covid 19 atau dikenal dengan corona virus merupakan penyakit yang menyerang pernapasan yang ditularkan lewat percikan air ludah dan benda yang terkena percikan air ludah yang mengandung virus corona. Angka kasus covid 19 terus melonjak sehingga perlu diprediksi dengan model matematika SEIR agar mendapat gambaran kasus covid pada saat memasuki bulan Ramadhan dan hari raya Idul fitri. Hal ini bertujuan agar pemerintah perlu membuat kebijakan baru untuk menekan angka kasus covid 19 disaat memasuki bulan Ramadhan dan hari Raya Idul Fitri 1441 H. Hasil penelitian menyatakan angka kasus covid 19 meningkat tajam pada bulan Ramadhan dan libur idul fitri. Pemerintah perlunya membuat kebijakan agar tidak melakukan tradisi mudik, menghentikan sementara pasar pabukoan, melakukan survailens aktif, melakukan karantina ketat terhadap kelompok risiko tinggi serta adanya sanksi yang tegas bagi oknum yang melanggar.

Abstract

Corona virus, well known as Covid-19 is a respiratory disease transmitted from an infected people to other through saliva liquid that has infected by the virus. The cases gradually increased and to predict the number of cases we applied the mathematical model” SEIR”. This study aimed to predict corona cases at Ramadhan and holiday to celebration the Eid Fitri of 1441 H. The result has shown that the cases would be increasing significantly at those time. The government decided a tight policy for the people who had planned to return to their village, and to shop to the open market, to do an active survailence, tight isolation and punished the people who disobey the policy.

Keywords


Kebijakan Pemerintah, Model SEIR, Covid 19

Full Text:

PDF


DOI: https://doi.org/10.15548/map.v2i2.2261
Abstract views : 419 times
PDF : 264 times

References


H.Ganjar pranowo,S.H MI. Buku Saku Pencegahan Corona.pdf. 2020. p. 10.

Susilo A, Rumende CM, Pitoyo CW, Santoso WD, Yulianti M, Herikurniawan H, et al. Coronavirus Disease 2019: Tinjauan Literatur Terkini. J Penyakit Dalam Indonesia. 2020;7(1):45.

Otter JA, Donskey C, Yezli S, Douthwaite S, Goldenberg SD, Weber DJ. Transmission of SARS and MERS coronaviruses and influenza virus in healthcare settings: The possible role of dry surface contamination. Journal Hosp Infect [Internet]. 2016;92(3):235–50. Available from: http://dx.doi.org/10.1016/j.jhin.2015.08.02

Anchordoqui LA, Dent JB, Weiler TJ. A Physics Modeling Study of COVID-19 Transport in Air. SciMedicine J. 2020;2:83–91.

Dinas Kesehatan Kota Padang. Data Pemantauan Covid19 Kota Padang [Internet]. Maret. 2020 [cited 2020 Mar 19]. Available from: https://dinkes.padang.go.id/

Sifriyani S, Mulawarman U. Pemodelan Susceptible Infected Recovered ( Sir ) Untuk Estimasi Angka Reproduksi Covid-19 Di Kalimantan Timur Dan Samarinda. 2020;(July):1–13.

Peng L, Yang W, Zhang D, Zhuge C, Hong L. Epidemic analysis of COVID-19 in China by dynamical modeling. arXiv. 2020;22–4.

Hellewell AJ, Abbott S, Gimma A, Bosse NI, Jarvis CI, Russell TW, et al. contacts. 2020;

Side S, Sanusi W, Setiawan NF. Analisis dan Simulasi Model SITR pada Penyebaran Penyakit Tuberkulosis di Kota Makassar. Sainsmat. 2016;V(2):191–204.

Wang Q jing, Yao Y zhen, Song J shuai, Wang Q, Xu L yun, Bao Z jun, et al. Kinetic changes in virology, specific antibody response and imaging during the clinical course of COVID-19: a descriptive study. BMC Infect Dis. 2020;20(1):1–11.

Mayasari D, Pratiwi A. Hubungan Respon Imun dan Stres Dengan Tingkat Kekambuhan Demam Tifoid pada Masyarakat Di Wilayah Puskesmas Colomadu Karanganyar. Ber Ilmu Keperawatan. 2009;2(1):13–8.


Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

 

Lisensi Creative Commonsis licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.