The Relationship Between Population-Level SARS-CoV-2 Cycle Threshold Values and Trend of COVID-19 Infection: Longitudinal Study.

ABSTRACT:

Background

The distribution of population-level real-time reverse transcription-polymerase chain reaction (RT-PCR) cycle threshold (Ct) values as a proxy of viral load may be a useful indicator for predicting COVID-19 dynamics.

Objective

The aim of this study was to determine the relationship between the daily trend of average Ct values and COVID-19 dynamics, calculated as the daily number of hospitalized patients with COVID-19, daily number of new positive tests, daily number of COVID-19 deaths, and number of hospitalized patients with COVID-19 by age. We further sought to determine the lag between these data series.

Methods

The samples included in this study were collected from March 21, 2021, to December 1, 2021. Daily Ct values of all patients who were referred to

SUBMITTER: Dehesh P 

PROVIDER: S-EPMC9645421 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature