ArticleNature communications2020
Inference of person-to-person transmission of COVID-19 reveals hidden super-spreading events during the early outbreak phase.
Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 2 of them syntheses that pooled it.
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Who cites it
71 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Superspreading, overdispersion and their implications in the SARS-CoV-2 (COVID-19) pandemic: a systematic review and meta-analysis of the literature.BMC public health · 2023Pooled it
- Systematic review and meta-analyses of superspreading of SARS-CoV-2 infections.Transboundary and emerging diseases · 2022Pooled it
- Evolving dynamics of H5Nx avian influenza in China revealed by long-term wild bird surveillance.Nature communications · 2026Article
- A statistical framework for comparing epidemic forests.PLoS computational biology · 2026Article
- Next-generation sequencing: Driving a paradigm shift from pathogen detection to systems-level analysis.Infectious medicine · 2026Article
- Transmission Dynamics of Torque Teno Sus Virus 1 (TTSuV1) Between Wild and Farmed Pigs: A Molecular Tool for Monitoring Cross-Population Spillover in Swine.Microorganisms · 2025Article
- Toward Setting Minimum and Optimal Data to Report for Malaria Molecular Surveillance with Targeted Sequencing: The "What" and "Why".The American journal of tropical medicine and hygiene · 2025Article
- A Bayesian modelling framework with model comparison for epidemics with super-spreading.Infectious Disease Modelling · 2025Article
- The Kinship Formula: Inferring the numbers of all kin from any structured population projection model.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Effects of individual variation and seasonal vaccination on disease risks.Nature communications · 2025Article
- Apollo: a comprehensive GPU-powered within-host simulator for viral evolution and infection dynamics across population, tissue, and cell.Nature communications · 2025Article
- Model predicted human mobility explains COVID-19 transmission in urban space without behavioral data.Scientific reports · 2025Article
- Network analysis of adverse event patterns following immunization with mRNA COVID-19 vaccines: real-world data from the European pharmacovigilance database EudraVigilance.Frontiers in medicine · 2025Article
- Safely reopening and operating a primary healthcare facility after closure due to SARS-CoV-2 infection in a healthcare worker - Nairobi, Kenya, 2020.International journal of infection control · 2024Article
- Apollo: A comprehensive GPU-powered within-host simulator for viral evolution and infection dynamics across population, tissue, and cell.bioRxiv : the preprint server for biology · 2024Article
- Changing genomic epidemiology of COVID-19 in long-term care facilities during the 2020-2022 pandemic, Washington State.BMC public health · 2024Article
- Within-host diversity improves phylogenetic and transmission reconstruction of SARS-CoV-2 outbreaks.eLife · 2023Article
- Effect of cross-border migration on the healthcare system of a destination community: Insights from mathematical modelling of COVID-19 in a developing country.Mathematics and computers in simulation · 2023Article
- Attitudes towards booster, testing and isolation, and their impact on COVID-19 response in winter 2022/2023 in France, Belgium, and Italy: a cross-sectional survey and modelling study.The Lancet regional health. Europe · 2023Article
- Impact of DHCWs' Safety Perception on Vaccine Acceptance and Adoption of Risk Mitigation Strategies.JDR clinical and translational research · 2023Article
11 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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