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A TB model: Is disease eradication possible in India?
Surabhi Pandey1, Ezio Venturino2
1Public Health Foundation of India, Plot No. 47, Sector-44, Gurgaon-122002, Haryana, India
Mathematical Biosciences and Engineering : MBE
|November 23, 2017
Summary
Tuberculosis (TB) remains a global threat, with "missing cases" hindering control. Our model indicates that even perfect diagnosis rates wouldn't eradicate the disease, and proposed strategies are not currently viable.
Area of Science:
- Epidemiology
- Mathematical Modeling
- Public Health
Background:
- Tuberculosis (TB) is a significant global public health issue, with millions of cases annually.
- A substantial number of TB cases are not reported to health authorities, complicating transmission control.
- Accurate estimation of TB burden is crucial, especially in high-incidence regions like India.
Purpose of the Study:
- To develop a dynamical system model for TB transmission dynamics.
- To incorporate public and private sector treatment options in India into the model.
- To evaluate the impact of diagnosis rates and explore potential eradication strategies.
Main Methods:
- A six-class dynamical system model was created to simulate TB transmission.
- The model integrates current understanding of Mycobacterium tuberculosis spread and Indian healthcare practices.
- Mathematical analysis, including subcritical bifurcation, was employed.
Main Results:
- The discrepancy in diagnosis rates between public and private sectors does not appear to be the primary driver of TB endemicity.
- Achieving 100% correct diagnosis rates alone is insufficient for TB eradication.
- Investigated strategies for disease eradication based on the model were found to be practically unviable.
Conclusions:
- TB control requires more than just improved diagnosis; novel, viable strategies are needed.
- The current model suggests significant challenges in eradicating TB, even with enhanced diagnostic efforts.
- Further research into practical and effective TB eradication strategies is essential.
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