AFRICA RAPID RT-RPA-BASED TEST WITH PCRD DETECTION FOR THE SEVERE ACUTE RESPIRATORY SYNDROME CORONAVIRUS2 (Africa RRT-RPATSARS CoV2)

Principal investigator: clarisse Musanabaganwa
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Investigators

Clarisse Musanabaganwa, Sabin Nsanzimana, Leo Mutesa, Jean Baptiste Mazarati, Yvan Mwikarago, Alice Kabanda, Claude Semuto, Claude Mambo Muvunyi, Etienne Mpabuka, Noela Bigirimana, Annette Uwineza, Majidi Habimana, Raissa Muvunyi, David Turatsinze, Menelas Nkeshimana, Thierry Nyatanyi, Erneste Nahayo, Daniel Nyamwasa, Angus Nassir

Study information

  • Research Area: COVID-19 Diagnosis
  • Research type: Diagnostic Accuracy. The test is based on the reverse-transcriptase recombinase polymerase amplification (RT-RPA). Briefly, crude extraction or pure extraction yields RNA which is then isothermally amplified using RPA primers tagged with fluorescent probes. The resulting amplicons are placed on a PCRD card and if the virus is present 2 lines appear, if absent a single line appears.
  • Start date: Apr 10, 2020
  • End date: Apr 10, 2022

Study aim of the objectives

Coronavirus disease 2019 (Covid 2019) is a highly infectious disease that has rapidly spread all over the world leading to thousands of deaths, hospitalizations, and far-reaching economic and social disruptions. Africa has not adopted widespread testing despite the fact that it is the most vulnerable region with poor health systems. There's need therefore for the development of an accurate, highly sensitive and specific rapid test that can be conducted in rural Africa without the need of expensive lab equipment and highly trained scientists. The current invention in this study aims to test the sensitivity and specificity of a new a rapid diagnostic test for COVID19 based on nucleic acid.
Expected Results: The sensitivity and specificity of COV 2 NARDT will be determined and validated with RT-PCR
Impact: Development of Africa based solution to contain COVID19 outbreak.

Study setting/Area (Location)

Rwanda

Implementing institution

Rwanda Biomedical Center and Kenya Institute of Bioinformatics

Department/Division

Research, Innovation and Data Science Division and National Reference Laboratory

Impact on Policy

Will inform the process of early detection of respiratory infection in COVID-19 and put in place appropriate management measures

Study implementation progress

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