Implementation of Antibody Rapid Diagnostic Testing versus Real-Time Reverse Transcription-PCR Sample Pooling in the Screening of COVID-19: a Case of Different Testing Strategies in Africa
Author(s) -
Tinashe K. Nyazika,
Rabelani Kaela,
Mathias Mugoni,
Kudakwashe Musomekwa,
Eric KyeiBaafour,
Simbarashe Chiwanda,
Prichard Mapondera,
Tatenda S. Makawa,
Elliot M. Sithole,
George Mavunganidze,
Justen Manasa,
Kondwani Jambo,
Cuthbert Musarurwa
Publication year - 2020
Publication title -
msphere
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.749
H-Index - 39
ISSN - 2379-5042
DOI - 10.1128/msphere.00524-20
Subject(s) - pooling , pandemic , medicine , diagnostic test , population , covid-19 , virology , statistics , sample (material) , disease , environmental health , infectious disease (medical specialty) , computer science , pediatrics , mathematics , chemistry , chromatography , artificial intelligence
Coronavirus disease 2019 (COVID-19) has wreaked havoc across the globe; although the number of cases in Africa remains lower than in other regions, it is on a gradual upward trajectory. To date, COVID-19 cases have been reported in 54 out of 55 African countries. However, due to limited severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) real-time reverse transcription-PCR (rRT-PCR) testing capacity and scarcity of testing reagents, it is probable that the total number of cases could far exceed published statistics. In this viewpoint, using Ghana, Malawi, South Africa, and Zimbabwe as examples of countries that have implemented different testing strategies, we argue that the implementation of sample pooling for rRT-PCR over antibody rapid diagnostic testing could have a greater impact in assessing disease burden. Sample pooling offers huge advantages compared to single test rRT-PCR, as it reduces diagnostic costs, personnel time, burnout, and analytical run times. Africa is already strained in terms of testing resources for COVID-19; hence, cheaper alternative ways need to be implemented to conserve resources, maximize mass testing, and reduce transmission in the wider population.
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