Mathematical Analysis and Optimal Control of a Tuberculosis Model with Early Diagnosed Latent Infections
International Journal of Analysis and Applications·
- DOI
- 10.28924/2291-8639-24-2026-260
- PMID
- —
- PMCID
- —
- OpenAlex
- —
- Study type
- Journal article
- Publisher
- SCIK Publishing Corporation
- Article type
- journal-article
- Integrity
- current
Why this research matters now
The quantitative comparisons assist decision-makers in balancing budgetary limits against the desired magnitude of case reduction during tuberculosis management.
Structured evidence summary
Research question
The investigation examines how integrating early detection of latent tuberculosis into a transmission framework influences disease progression and determines the most efficient control measures.
Study design
Researchers constructed a deterministic SEIR compartmental model and applied optimal control theory to simulate various intervention scenarios.
Population and setting
The analysis operates within a theoretical computational environment without referencing a specific clinical cohort or geographic region.
Main findings
Implementing all four evaluated interventions simultaneously lowers overall financial expenditures, while isolating transmission reduction produces the largest decrease in active cases.
Public-health relevance
The quantitative comparisons assist decision-makers in balancing budgetary limits against the desired magnitude of case reduction during tuberculosis management.
Important limitations
The outcomes depend exclusively on modeled parameters and hypothetical scenarios, omitting empirical verification from actual patient or community datasets.
GIDS interpretation
This article situates itself within scholarly discussions on infectious disease mathematics and outlines analytical techniques for assessing combined preventive measures.
Related GIDS surveillance
Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.
Evidence relationships
This article has 8 auditable classifier relationships to diseases, places, topics, and study design.