Dataset Information

Modeling the impact of COVID-19 on future tuberculosis burden

ABSTRACT:

Background

The ongoing COVID-19 pandemic has greatly disrupted our everyday life, forcing the adoption of non-pharmaceutical interventions in many countries and putting public health services and healthcare systems worldwide under stress. These circumstances are leading to unintended effects such as the increase in the burden of other diseases.

Methods

Here, using a data-driven epidemiological model for tuberculosis (TB) spreading, we describe the expected rise in TB incidence and mortality if COVID-associated changes in TB notification are sustained and attributable entirely to disrupted diagnosis and treatment adherence.

Results

Our calculations show that the reduction in diagnosis of new TB cases due to the COVID-19 pandemic could result in 228k (CI 187–276) excess deaths in India, 111k (CI 93–134) in Indonesia, 27k (CI 21–33) in Pakistan, and 12k (CI 9–18) in Kenya.

Conclusions

We show that it is possible to reverse these excess deaths by increasing the pre-covid diagnosis capabilities from 15 to 50% for 2 to 4 years. This would prevent almost all TB-related excess mortality that could be caused by the COVID-19 pandemic if no additional preventative measures are introduced. Our work therefore provides guidelines for mitigating the impact of COVID-19 on tuberculosis epidemic in the years to come. Tovar et al. use a data-driven epidemiological model for tuberculosis (TB) spreading to describe an expected rise in TB incidence and mortality due to COVID-associated disruption in TB diagnosis and treatment. Their calculations predict higher incidence and mortality due to reduced diagnosis of new TB cases, however suggest increased diagnostic capacity could mitigate this situation.

SUBMITTER: Tovar M

PROVIDER: S-EPMC9243113 | biostudies-literature |

REPOSITORIES: biostudies-literature

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