Aplikasi pemodelan matematika dalam memodelkan penyebaran virus Covid-19 di Indonesia
Keywords:
model mathematical, SIR, Covid-19Abstract
Pandemics occur in the world, all countries experience shocks by the presence and spread of a virus, namely covid-19. So that the virus does not spread more widely, especially in Indonesia, it needs to be handled and handled well. The purpose of this study is to analyze, and interpret a simulation of a mathematical model of the spread of the covid-19 virus with cure rates and infection with the virus. In the preparation of the model obtained mathematical models. From the model obtained a range of percentage of virus spread with a cure rate, I (n) <1. The results of the modeling show the virus spread will gradually decrease from the population.
References
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Lekone, P.E, dan B.F. Finkenstadt. (2006). Statistical Inference in a Stocahastic Epidemic SEIR Model with Control Intervention: Ebola as a Case as Study.Biometry, 62.
Ndii,MZ. (2015). Mathematical Modelling to Investigate a Wolbachia intervention to reduce dengue transmission, in Department of Mathematics. University of Newcastle.
Puspita, G., Kharis, M., Supriyono. (2017). Pemodelan Matematika pada Penyebaran Penyakit Difteri dengan Pengaruh Karantina dan Vaksinasi. Journal of Mathematics. 6(1).
Supriatna,A.K.,E. Soewono, and S.A. van Gils. (2008). A two-age-classes dengue transmission model. Mathematical Biosciences. 216(1)
www.who.int/covid-19/information ( diakses 9 Juli 2020)
www.kemkes.go.id/Dashboard Data Kasus COVID-19 di Indonesia (diakses 20 Juli 2020)
Fourianita,dkk. (2018). Analisis Sensitivitas Model Matematika Penyebaran Penyakit dengan Vaksinasi. Jurnal Matematika Integratif. 14(1).
Giordano, F.R, William P.F. dan Steven B.H. (2014). A First Course in Mathematical Modeling, Fifth edition. Boston: Richard Stratton.
Hethcote,H.W.(2000). The Mathematic of Infectious Diseases. SIAM Review, 42(4).
Lekone, P.E, dan B.F. Finkenstadt. (2006). Statistical Inference in a Stocahastic Epidemic SEIR Model with Control Intervention: Ebola as a Case as Study.Biometry, 62.
Ndii,MZ. (2015). Mathematical Modelling to Investigate a Wolbachia intervention to reduce dengue transmission, in Department of Mathematics. University of Newcastle.
Puspita, G., Kharis, M., Supriyono. (2017). Pemodelan Matematika pada Penyebaran Penyakit Difteri dengan Pengaruh Karantina dan Vaksinasi. Journal of Mathematics. 6(1).
Supriatna,A.K.,E. Soewono, and S.A. van Gils. (2008). A two-age-classes dengue transmission model. Mathematical Biosciences. 216(1)
www.who.int/covid-19/information ( diakses 9 Juli 2020)
www.kemkes.go.id/Dashboard Data Kasus COVID-19 di Indonesia (diakses 20 Juli 2020)
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Published
2020-08-31
How to Cite
Pasaribu, R. H., Harahap, Z. I. S., Putra, B. A., & Siregar, S. L. A. (2020). Aplikasi pemodelan matematika dalam memodelkan penyebaran virus Covid-19 di Indonesia. Prosiding Seminar Nasional Matematika Dan Pendidikan Matematika, 5, 194–199. Retrieved from https://conference.upgris.ac.id/index.php/senatik/article/view/916
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