MATHEMATICAL MODELING FOR IMPACT OF CHANGING COVID-19 CASES ON TUBERCULOSIS CARE CASCADE
Tuberculosis (TB) is an infectious disease that causes high mortality cases throughout the world. TB is caused by the bacterium mycobacterium tuberculosis and is transmitted through the air. Individuals infected with TB need to carry out treatment as recommended, which is 6-9 months of taking med...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/65428 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Tuberculosis (TB) is an infectious disease that causes high mortality cases
throughout the world. TB is caused by the bacterium mycobacterium tuberculosis
and is transmitted through the air. Individuals infected with TB need to carry out
treatment as recommended, which is 6-9 months of taking medication according
to the prescribed dose. In this study, a mathematical model was built to review
the dynamics of TB care services. Numerical simulations were carried out to obtain
parameter estimates using data in Indonesia, especially in the city of Bandung. Then
from the parameter values that have been obtained, a numerical simulation is carried
out by reviewing the effects that occur due to the disruption of COVID-19 on parameters
related to the TB treatment process. The numerical simulation results show
that the presence of COVID-19 disruption to a parameter in a particular disorder
variation can lead to an increase in mortality cases, active infection population, and
latent infection population in the next 10 years if there is no increase in TB care
services. The numerical simulation results show that the most influential parameter
on the TB care service system is the proportion of people who continue treatment
after a positive diagnosis. |
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