Population-level median cycle threshold (Ct) values for asymptomatic COVID-19 cases can predict the trajectory of future cases
Naila Shoaib,
Asim Iqbal,
Farhad Ali Shah,
Wajeeha Zainab,
Maham Qasim,
Noore Zerqoon,
Muhammad Omer Naseem,
Rimsha Munir and
Nousheen Zaidi
PLOS ONE, 2023, vol. 18, issue 3, 1-8
Abstract:
Background: Recent studies indicate that the population-level SARS-CoV-2 cycle threshold (Ct) values can inform the trajectory of the pandemic. The presented study investigates the potential of Ct values in predicting the future of COVID-19 cases. We also determined whether the presence of symptoms could change the correlation between Ct values and future cases. Methods: We examined the individuals (n = 8660) that consulted different sample collection points of a private diagnostic center in Pakistan for COVID-19 testing between June 2020 and December 2021. The medical assistant collected clinical and demographic information. The nasopharyngeal swab specimens were taken from the study participants and real-time reverse transcriptase polymerase chain reaction (RT-PCR) was used to detect SARS-CoV-2 in these samples. Results: We observed that median Ct values display significant temporal variations, which show an inverse relationship with future cases. The monthly overall median Ct values negatively correlated with the number of cases occurring one month after specimen collection (r = -0.588, p
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0281899
DOI: 10.1371/journal.pone.0281899
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