Intra- and Inter-host Transmission Dynamics of SARS-CoV-2 Through Viral Load Data Analysis

TL;DR

This study analyzes SARS-CoV-2 transmission dynamics using PCR test data to link viral load with pandemic trends and disease severity.

Contribution

The study demonstrates how Ct values can reveal both intra-host and inter-host transmission dynamics of SARS-CoV-2 variants.

Findings

Higher viral loads correlate with rising pandemic waves and increased hospitalizations and mortality.

The Delta variant showed the highest viral load values despite a relatively low positivity rate.

Ct values provide insights into pandemic evolution and patient risk stratification.

Abstract

Polymerase chain reaction (PCR) tests are the gold standard for confirming COVID-19. Test results provide the cycle threshold (Ct) value, which is correlated to the patient's viral load as well as hematological and biochemical parameters. The purpose of this study is to analyze the transmission dynamics of selected SARS-CoV-2 variants, both within hosts and between hosts, through statistics and data analysis of the Ct values and other metrics. Demographics data and Ct values from 1,041 patients with COVID-19 were collected and correlated with epidemiological indices, such as the positivity rate, hospitalizations, and deaths for each major wave of the pandemic, in Greece. The analysis showed that higher viral loads coincide with rising pandemic waves, while lower loads are observed during periods of decline. Notably, among all variants analyzed, the Delta variant, observed in mid-2021, exhibited the highest viral load values, which were associated with increased hospitalizations and mortality, despite a relatively low positivity rate. Consequently, variables associated with inter-host transmission dynamics show a significant correlation with those pertaining to intra-host dynamics. This correlation opens up the potential for predicting disease severity and forecasting the trajectory of the pandemic based on patient-related and other variables through data analysis. The analysis revealed that variations in Ct value yield valuable insights into the evolution of the pandemic and the risk stratification of patients. The study highlights that statistical measures derived from Ct values can provide insights into both intra-host and inter-host transmission dynamics, potentially supporting risk assessment and public health responses.

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