A numerical technique for solving infectious disease model
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Abstract
Description
In the medical aspect of life, there are multiple ways of formulating a model
that can be used to determine if a disease will become a pandemic or an epidemic. In this
research, we discussed how we could use the numerical approach by applying the revised
SEQI I RF
u d
(Susceptible, Exposed, Quarantined, Infected undetected, Infected
detected, Recovered, and Failed) model to control or contain an infectious disease
(COVID-19) by applying the effective contact rate. MATLAB software was used to
solve the SEQI I RF
u d
model by considering population growth, mortality rate,
infection rate, disease-induced death, failed treatment rate, and recovery rate, which gave
pictographic diagrams of the increase and decrease of the infectious disease in the
community.
Keywords
QA Mathematics