Rapid Antigen Tests (RATs) and COVID-19 prevalence
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Date
2022-05-04
Open Access Location
Authors
Perezgonzalez J
Journal Title
Journal ISSN
Volume Title
Publisher
OSF Preprins
Rights
(c) The Author
Abstract
The article contains a Bayesian analysis to model expected rate of positive and negative COVID-19 cases, based on Rapid Antigen Test performance and COVID-19 prevalence in New Zealand. The results suggest that the majority of approved tests were excellent in identifying negative cases but might turn out too many false positives. Recommendations for a protocol for RAT-based testing concludes the article.
Description
Keywords
Bayesian statistics, Statistical inference, COVID-19, Rapid Antigen Test
Citation
2022