Correlation of viral loads in disease transmission could affect early estimates of the reproduction number. Issue 202 (3rd May 2023)

• Record Type: Journal Article
• Authors: Harris, Thomas; Geard, Nicholas; Zachreson, Cameron
• Is Part Of: Journal of the Royal Society interface. Volume 20:Issue 202(2023)
• Publication Date: 2023-05-03
• Subjects: reproduction number -- multi-scale model -- acute virus -- epidemiology -- viral load; Physical sciences -- Research -- Periodicals; Life sciences -- Research -- Periodicals; Interdisciplinary research -- Periodicals; 570.5
• DOI: 10.1098/rsif.2022.0827
• Languages: English
• ISSNs: 1742-5689

Abstract

Abstract : Early estimates of the transmission properties of a newly emerged pathogen are critical to an effective public health response, and are often based on limited outbreak data. Here, we use simulations to investigate how correlations between the viral load of cases in transmission chains can affect estimates of these fundamental transmission properties. Our computational model simulates a disease transmission mechanism in which the viral load of the infector at the time of transmission influences the infectiousness of the infectee. These correlations in transmission pairs produce a population-level convergence process during which the distributions of initial viral loads in each subsequent generation converge to a steady state. We find that outbreaks arising from index cases with low initial viral loads give rise to early estimates of transmission properties that could be misleading. These findings demonstrate the potential for transmission mechanisms to affect estimates of the transmission properties of newly emerged viruses in ways that could be operationally significant to a public health response.