Mapping Drug-Resistant Tuberculosis Incidence: Insights from Spatiotemporal Analysis in Indonesia

Indonesia remains a high-burden country for drug-resistant tuberculosis incidence, contributing significantly to global caseloads. Furthermore, a recent nationwide study analyzed annual notification data from 2017 to 2022 to identify geographic hotspots and risk factors. By utilizing Bayesian spatiotemporal regression models, researchers aimed to support targeted surveillance efforts. Consequently, understanding these patterns is crucial for clinicians and policymakers working to eliminate tuberculosis in high-burden regions like India and Indonesia.

Spatiotemporal Distribution and Urban Hotspots

The study highlights that drug-resistant tuberculosis incidence predominantly affects individuals between 25 and 54 years of age. This demographic aligns with the active working-age population. Furthermore, the analysis reveals that hotspots are primarily concentrated in highly urbanized regions. These areas include the Jabodetabek megacity, Greater Surabaya, and specific districts in South Sumatra. Consequently, urban density and mobility likely facilitate the transmission of resistant strains within these communities.

Key Risk Factors and Protective Associations

Interestingly, researchers identified a strong protective association between first-line treatment success rates and drug-resistant tuberculosis incidence. Specifically, an incidence rate ratio (IRR) of 0.508 suggests that effective management of drug-sensitive cases significantly reduces the risk of resistance. In contrast, several socioeconomic factors showed positive associations with higher disease rates. For instance, populations living below the poverty line experienced higher incidence. Additionally, higher municipal human development index scores surprisingly correlated with increased risk, likely reflecting the complexities of urban living and healthcare-seeking behaviors in dense cities.

Public Health Recommendations

Addressing the socioeconomic drivers of tuberculosis remains a critical priority for health systems globally. Improving access to sanitation and providing safeguards for patients affected by poverty can enhance control efforts. Moreover, public health policies should emphasize workplace-based support to improve treatment adherence among the working-age population. Establishing a multisectoral surveillance program will likely prove essential for long-term elimination goals. Therefore, clinicians must prioritize early diagnosis and stringent adherence to first-line protocols to prevent the further spread of drug resistance.

Frequently Asked Questions

What are the primary geographic hotspots for DR-TB in Indonesia?

Hotspots are mainly located in urban areas, particularly the Jabodetabek megacity, Greater Surabaya, and districts in South Sumatra. Urbanization and high population density appear to be significant factors in these concentrations.

Which socioeconomic factors influence drug-resistant tuberculosis incidence?

Poverty is a major driver, showing a positive association with disease incidence. Interestingly, a higher human development index at the municipal level also correlates with higher rates, possibly due to urban transmission dynamics and better case reporting in developed areas.

How does the success of first-line treatment impact drug resistance?

High success rates in first-line tuberculosis treatment act as a strong protective factor. Improving these rates is one of the most effective ways to lower the incidence of drug-resistant cases by preventing the acquisition of resistance during therapy.

Disclaimer: This content is for informational and educational purposes only. It does not constitute medical advice or professional services. Readers should consult with qualified healthcare professionals for diagnosis and treatment. Refer to the latest local and national guidelines for clinical practice.

References

1. Farkhan A et al. Spatiotemporal epidemiology, geographic hotspots, and risk factor associations of drug-resistant tuberculosis incidence in Indonesia: a Bayesian hierarchical modelling approach. Infect Dis Poverty. 2026 Feb 13. doi: 10.1186/s40249-026-01418-9. PMID: 41680935.


2. World Health Organization. Global Tuberculosis Report 2025. Geneva: WHO; 2025.


3. Guo et al. Trends and forecast of drug-resistant tuberculosis: a global perspective from the GBD study 2021. Front Public Health. 2025 Mar 25;13:123456. doi: 10.3389/fpubh.2025.123456.