# Impact of Case Detection and COVID-19-Related Disruptions on Tuberculosis in Vietnam: A Modeling Analysis

**Authors:** Viet Long Bui, Romain Ragonnet, Angus E Hughes, David S Shipman, Emma S McBryde, Binh Hoa Nguyen, Hoang Nam Do, Thai Son Ha, Greg J Fox, James M Trauer

PMC · DOI: 10.1093/infdis/jiaf406 · The Journal of Infectious Diseases · 2025-08-07

## TL;DR

The study models how the pandemic disrupted TB detection in Vietnam, leading to more cases and deaths, and suggests improved detection could help reverse this trend.

## Contribution

A dynamic transmission model was used to quantify pandemic-related TB disruptions and evaluate mitigation strategies in Vietnam.

## Key findings

- In 2021, disruptions caused an estimated 2000 additional TB episodes and 1100 deaths in Vietnam.
- By 2035, cumulative disruptions could lead to 22,000 additional TB episodes and 5900 deaths.
- Enhanced TB detection could prevent up to 34.2% of TB-related deaths by 2035.

## Abstract

Vietnam, a high-burden tuberculosis (TB) country, experienced marked declines in TB notifications during the COVID-19 pandemic. We assessed the impact of pandemic-related disruptions on TB case detection and transmission using a dynamic transmission model calibrated to local demographic and epidemiological observations.

We developed an age-structured compartmental TB transmission model to estimate COVID-19's impact on TB in Vietnam. Four model assumptions reflecting reductions in detection and/or transmission were calibrated to notification data, with the best-fitting assumption used for future projections and to evaluate the effects of enhanced case detection scenarios.

COVID-19 significantly disrupted TB services in Vietnam, resulting in an estimated 2000 additional TB episodes (95% credible interval [CrI]: 200–5100) and 1100 TB-related deaths (95% CrI: 100–2700) in 2021. By 2035, the cumulative impact of these disruptions could reach 22 000 additional TB episodes (95% CrI: 2200–63 000) and 5900 deaths (95% CrI: 600–16 600) by 2035. We predicted two hypothetical scenarios of enhancing TB case detection. Under the ambitious scenario, enhancing TB case detection could mitigate these potential impacts by preventing 17.8% of new TB episodes (95% CrI: 13.1%–21.9%) and 34.2% (95% CrI: 31.5%–37.0%) of TB-related deaths by 2035, compared with no enhancement.

COVID-19-related disruptions have hindered TB detection in Vietnam, likely causing long-term increases in new TB episodes and deaths. However, the uncertainty around these effects is considerable. Sustained investment in diagnostics, system resilience, and patient-centric policies has the potential to achieve benefits that are substantially larger than these pandemic-related setbacks.

COVID-19 disrupted TB detection in Vietnam, leading to long-term increases in incidence and mortality. Modeling suggests improved case finding could avert a sizeable portion of new infections and deaths, but sustained investment is essential to improve TB prevention and care.

## Linked entities

- **Diseases:** tuberculosis (MONDO:0018076), COVID-19 (MONDO:0100096)

## Full-text entities

- **Diseases:** TB (MESH:D014376), COVID-19 (MESH:D000086382), deaths (MESH:D003643)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

32 references — full list in the complete paper: https://tomesphere.com/paper/PMC12526866/full.md

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Source: https://tomesphere.com/paper/PMC12526866