Superspreading events in the transmission dynamics of SARS-CoV-2: Opportunities for interventions and control
Open Access
- 12 November 2020
- journal article
- research article
- Published by Public Library of Science (PLoS) in PLoS Biology
- Vol. 18 (11), e3000897
- https://doi.org/10.1371/journal.pbio.3000897
Abstract
Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), the etiological agent of the Coronavirus Disease 2019 (COVID-19) disease, has moved rapidly around the globe, infecting millions and killing hundreds of thousands. The basic reproduction number, which has been widely used—appropriately and less appropriately—to characterize the transmissibility of the virus, hides the fact that transmission is stochastic, often dominated by a small number of individuals, and heavily influenced by superspreading events (SSEs). The distinct transmission features of SARS-CoV-2, e.g., high stochasticity under low prevalence (as compared to other pathogens, such as influenza), and the central role played by SSEs on transmission dynamics cannot be overlooked. Many explosive SSEs have occurred in indoor settings, stoking the pandemic and shaping its spread, such as long-term care facilities, prisons, meat-packing plants, produce processing facilities, fish factories, cruise ships, family gatherings, parties, and nightclubs. These SSEs demonstrate the urgent need to understand routes of transmission, while posing an opportunity to effectively contain outbreaks with targeted interventions to eliminate SSEs. Here, we describe the different types of SSEs, how they influence transmission, empirical evidence for their role in the COVID-19 pandemic, and give recommendations for control of SARS-CoV-2.Keywords
This publication has 61 references indexed in Scilit:
- Peritonitis secondary to hemorrhagic fever with renal syndrome: a case report in GuangZhou ChinaBMC Infectious Diseases, 2020
- Evaluating strategies for control of tuberculosis in prisons and prevention of spillover into communities: An observational and modeling study from BrazilPLoS Medicine, 2019
- A primer on the use of probability generating functions in infectious disease modelingInfectious Disease Modelling, 2018
- Investigating spillover of multidrug-resistant tuberculosis from a prison: a spatial and molecular epidemiological analysisBMC Medicine, 2018
- Asymptomatic transmission and the resurgence of Bordetella pertussisBMC Medicine, 2015
- Modeling the spatial spread of infectious diseases: The GLobal Epidemic and Mobility computational modelJournal of Computational Science, 2010
- Heterogeneous shedding ofEscherichia coliO157 in cattle and its implications for controlProceedings of the National Academy of Sciences of the United States of America, 2006
- Superspreading and the effect of individual variation on disease emergenceNature, 2005
- Heterogeneities in the transmission of infectious agents: Implications for the design of control programsProceedings of the National Academy of Sciences of the United States of America, 1997
- Transmission dynamics of HIV infectionNature, 1987