Proposed Algorithm for Integrated Management of TB-SARS-CoV-2 Co-Infection in a TB-Endemic Country

Ni Made Mertaniasih, Soedarsono Soedarsono, Tiffany Tiara Pakasi, Zakiyathun Nuha, Manabu Ato

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


Tuberculosis (TB) and COVID-19 have become significant health problems globally, especially in countries with high prevalence. Therefore, this research aims to examine all possibilities and predict the impact of TB-SARS-CoV-2 co-infection to anticipate the cascade effect of both diseases in all sectors. The conceptual strategy of the algorithm in TB-COVID-19 is needed to create an integrated management system. It includes the stages of early detection with accurate and effective methods, as well as the synchronization of TB-COVID-19 health services, starting from primary health facilities to secondary and tertiary referral centers. The algorithm in TB-COVID-19 is crucial to prepare future strategies for PTB co-infection viral respiratory infections other than SARS-CoV-2, ILI, ARI, and SARI. Since the implementation involves all health services, there is a need to integrate the governance of TB-COVID-19 and other comorbidities in good health services based on research and multicentre design.

Original languageEnglish
Article number367
JournalTropical Medicine and Infectious Disease
Issue number11
Publication statusPublished - Nov 2022


  • COVID-19
  • algorithm
  • integrated management
  • respiratory infection
  • tuberculosis


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