SEIR Model Analysis of Coronavirus Disease 2019 (Covid-19) Transmission Considering Vaccination Rates

Rivaldo Andika kaligis, Yohanes A. R. Langi, Rinancy Tumilaar

Abstract


Coronavirus disease 2019 (Covid-19) is a disease that attacks the respiratory system from mild to severe symptoms. This disease can attack someone who has a weak immune system. Vaccination is an effort to build a person's immune system to fight disease. This study aims to determine the spread of the Covid-19 disease by paying attention to the rate of vaccination. The data used is the data in September 2021 for the spread of the Covid-19 disease by focusing on the second dose of vaccination. In this study, the experimental method was used by performing numerical simulations using parameter values obtained from previous studies. The results show that the rate of vaccination affects the Covid-19 disease. If no individual is vaccinated (𝜃 = 0) obtained 𝑅0 > 1 which means the disease will spread. But when the vaccination rate is increased to 0.2 it is obtained 𝑅0 < 1 which means the disease will disappear.

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ICON-SMART

Faculty of Mathematics and Natural Sciences (FMIPA)

Sam Ratulangi University