4.4 Article

Coronavirus Disease 2019 Diagnosis in Low- and Middle-Income Countries The Big New Bully Disrupting TB and HIV Diagnostic Services

Journal

JOURNAL OF MOLECULAR DIAGNOSTICS
Volume 24, Issue 4, Pages 289-293

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.jmoldx.2021.12.008

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This opinion paper explores the importance of leveraging diagnostics for COVID-19 while retaining diagnostics for other infectious diseases. Integrated laboratory systems are crucial for efficient testing and increasing access to critical diagnostics. However, diagnostic capacity for one infectious disease may displace another, highlighting the need for mapping laboratory networks and allocating resources appropriately.
Coronavirus disease 2019 (COVID-19) undermines control of other infectious diseases. Diagnostics are critical in health care. This opinion paper explores approaches for leveraging diagnostics for COVID-19 while retaining diagnostics for other infectious diseases, including tuberculosis (TB) and HIV. The authors reflect on experiences with GeneXpert technology for TB detection and opportunities for integration with other diseases. They also reflect on benefits and risks of integration. Placement of diagnostics in laboratory networks is largely nonintegrated and designated for specific diseases. Restricting the use of diagnostics leaves gaps in detection of TB, HIV, malaria, and COVID-19. Integrated laboratory systems can lead to more efficient testing while increasing access to critical diagnostics. However, the authors have observed that HIV diagnosis within the TB diagnostic network displaced TB diagnosis. Subsequently, COVID-19 disrupted both TB and HIV diagnosis. The World Health Organization recommended rapid molecular diagnostic networks for infectious diseases and there is a need for more investment to achieve diagnostic capacity for TB, HIV, COVID-19, and other emerging infectious diseases. Integrated laboratory systems require mapping laboratory networks, assessing needs for each infectious disease, and identifying resources. Otherwise, diagnostic capacity for one infectious disease may displace another. Further, not all aspects of optimal diagnostic networks fit all infectious diseases, but many efficiencies can be gained where integration is possible.

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