ANALISIS KESTABILAN PENYEBARAN PENYAKIT COVID-19 DENGAN PENGARUH KARANTINA
DOI:
https://doi.org/10.24114/jmk.v7i2.30929Keywords:
Quarantine, Covid-19, SEIR Model, stability, and Matlab.Abstract
Coronavirus Disease 2019 (Covid-19) adalah jenis penyakit baru yang belum pernah diidentifikasi sebelumnya pada manusia. Coronavirus merupakan keluarga besar virus yang menyebabkan penyakit mulai dari gejala ringan sampai gejala berat. Coronavirus merupakan penyakit yang dapat menular. Untuk mengatasi penyebaran penyakit menular, perlu dilakukan pencegahan. Karantina merupakan salah satu cara untuk mengatasi penyebaran penyakit. Tujuan dari penelitian ini adalah untuk menganalisis dan menjelaskan model simulasi penyebaran penyakit Covid-19 di bawah pengaruh karantina. Salah satu model matematis penularan penyakit adalah model SEIR. Dari model akan diperoleh nilai Reproduksi Dasar , titik kesetimbangan stabil asimtotik lokal untuk (kasus endemik penyakit) dan memiliki titik kesetimbangan stabil asimtotik untuk (kasus bebas penyakit). Abstract” Coronavirus Disease 2019 (Covid-19) is a new type of disease that has never been previously identified in humans. Coronaviruses are a large family of viruses that cause illness ranging from mild to severe. Coronavirus is a disease that can be transmitted. To prevent the spread of infectious diseases, prevention is necessary. Quarantine is one way to prevent the spread of disease. The purpose of this study is to analyze and explain a simulation model of the spread of the Covid-19 disease under the influence of quarantine. One of the mathematical models of disease transmission is the SEIR model. From the model, we get the Basic Reproductive value , a local asymptotically stable equilibrium point for (disease-endemic cases) and asymptotically stable equilibrium point for (disease-free cases).References
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