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Inference of person-to-person transmission of COVID-19 reveals hidden super-spreading events during the early outbreak phase

Medicine and Health

Inference of person-to-person transmission of COVID-19 reveals hidden super-spreading events during the early outbreak phase

L. Wang, X. Didelot, et al.

This groundbreaking study by Liang Wang, Xavier Didelot, and colleagues delves into the early COVID-19 outbreak in China, revealing fascinating insights into SARS-CoV-2 transmission dynamics. By analyzing 208 genome sequences, the researchers uncovered compelling evidence of super-spreading events, confirming their crucial role in the virus's rapid spread during the pandemic's inception.

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Abstract
Coronavirus disease 2019 (COVID-19) was first identified in late 2019 in Wuhan, Hubei Province, China and spread globally in months, sparking worldwide concern. However, it is unclear whether super-spreading events occurred during the early outbreak phase, as has been observed for other emerging viruses. Here, we analyse 208 publicly available SARS-CoV-2 genome sequences collected during the early outbreak phase. We combine phylogenetic analysis with Bayesian inference under an epidemiological model to trace person-to-person transmission. The dispersion parameter of the offspring distribution in the inferred transmission chain was estimated to be 0.23 (95% CI: 0.13–0.38), indicating there are individuals who directly infected a disproportionately large number of people. Our results showed that super-spreading events played an important role in the early stage of the COVID-19 outbreak.
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
Tags
SARS-CoV-2
COVID-19
phylogenetic analysis
super-spreading events
transmission dynamics
genome sequences
overdispersion
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