COVID-19 TRANSMISSION MODEL WITH DISCRETE TIME APPROACH

被引：1

作者：

Pangestu, D. S. ^{[1
]}

Tresna, S. T. ^{[1
]}

Inayaturohmat, F. ^{[1
]}

Anggriani, N. ^{[2
]}

机构：

[1] Padjadjaran State Univ, Dept Math, Masters Program Math, Jl Raya Bandung Sumedang Km 21, Kab Sumedang 45363, Jawa Barat, Indonesia

[2] Padjadjaran State Univ, Dept Math, Jl Raya Bandung Sumedang Km 21, Kab Sumedang 45363, Jawa Barat, Indonesia

来源：

COMMUNICATIONS IN MATHEMATICAL BIOLOGY AND NEUROSCIENCE | 2022年

关键词：

COVID-19; nonlinear least squares; dynamical theory; VACCINATION;

D O I：

10.28919/cmbn/7622

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this research, we developed model of SIR for COVID-19 spread. The model is represented by a deterministic discrete-time model. The model is constructed with divided the population into three compartments, namely Susceptible, Infected, and Recovered denoted by S, I, and R, respectively. This research aims to formulate a model for describing the spread of COVID-19 with a data-driven approach. In this research, the model parameters were estimated using the nonlinear least squares method. The data used are daily cases of COVID-19 data in West Java, Indonesia. In addition, other parameters such as birthrate and mortality rate were calibrated using population data and mortality data in the pre-pandemic period. Finally, through numerical simulation, the population dynamics is observed in the model that has been formed based on the estimated parameters.

引用

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