Inference of person-to-person transmission of COVID-19 reveals | ResearchBunny

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Abstract

This study analyzes 208 SARS-CoV-2 genome sequences from the early COVID-19 outbreak in China. Using phylogenetic analysis and Bayesian inference, the researchers reconstructed person-to-person transmission, finding evidence of super-spreading events (SSEs) characterized by individuals infecting a disproportionately large number of others. The dispersion parameter of the offspring distribution (0.23) indicated significant overdispersion, confirming the substantial role of SSEs in the early pandemic spread.

Publisher

Nature Communications

Published On

Jan 01, 2021

Authors

Liang Wang, Xavier Didelot, Jing Yang, Gary Wong, Yi Shi, Wenjun Liu, George F. Gao, Yuhai Bi

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