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

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.

Medienart:

E-Artikel

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

Zur Gesamtaufnahme - volume:7

Enthalten in:

Tropical medicine and infectious disease - 7(2022), 11 vom: 10. Nov.

Sprache:

Englisch

Beteiligte Personen:

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

Links:

Volltext

Themen:

Algorithm
COVID-19
Integrated management
Journal Article
Respiratory infection
Tuberculosis

Anmerkungen:

Date Revised 28.11.2022

published: Electronic

Citation Status PubMed-not-MEDLINE

doi:

10.3390/tropicalmed7110367

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM348695144