Country-specific intervention strategies for top three TB burden countries using mathematical model
Soyoung Kim1, Aurelio A de Los Reyes V1,2, Eunok Jung1
1Department of Mathematics, Konkuk University, Seoul, Republic of Korea.
Plos One
|April 10, 2020
Summary
Improving tuberculosis treatment protocols in India and Indonesia to match China's success rates could significantly reduce TB incidence by 2035. Complementary interventions are crucial for achieving global End TB Strategy targets.
Area of Science:
- Epidemiology
- Mathematical Modeling
- Public Health
Background:
- Tuberculosis (TB) remains a leading global infectious cause of death.
- The World Health Organization (WHO) aims for a 90% TB incidence reduction by 2035 via the End TB Strategy.
- Understanding transmission dynamics in high-burden countries is critical for effective control.
Purpose of the Study:
- To model TB transmission dynamics in India, China, and Indonesia.
- To assess the impact of improved treatment protocols on TB incidence reduction.
- To identify optimal nonpharmaceutical and case-finding interventions.
Main Methods:
- Utilized country-specific epidemiological data from WHO.
- Employed optimal control theory to determine time-dependent intervention strategies.
- Modeled the effects of enhancing treatment and success rates to China's levels for India and Indonesia.
Main Results:
- Enhancing treatment and success rates in India and Indonesia to China's levels could reduce incidence by 65.99% and 68.49% respectively by 2035.
- Optimal control analysis identified necessary nonpharmaceutical and latent case-finding strategies.
- Combined interventions are essential to meet the WHO's End TB targets.
Conclusions:
- Significant TB incidence reductions are achievable through improved treatment protocols and targeted interventions.
- Gradual enhancement and sustained implementation of control measures are recommended for India, China, and Indonesia.
- Mathematical modeling provides a framework for evaluating and optimizing public health strategies against tuberculosis.
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