COVID-19 Superspreading Suggests Mitigation by Social Network Modulation.

@article{Nielsen2021COVID19SS,
  title={COVID-19 Superspreading Suggests Mitigation by Social Network Modulation.},
  author={Bjarke Frost Nielsen and Lone Simonsen and Kim Sneppen},
  journal={Physical review letters},
  year={2021},
  volume={126 11},
  pages={
          118301
        }
}
Although COVID-19 has caused severe suffering globally, the efficacy of nonpharmaceutical interventions has been greater than typical models have predicted. Meanwhile, evidence is mounting that the pandemic is characterized by superspreading. Capturing this phenomenon theoretically requires modeling at the scale of individuals. Using a mathematical model, we show that superspreading drastically enhances mitigations which reduce the overall personal contact number and that social clustering… 

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References

SHOWING 1-10 OF 36 REFERENCES
Impact of Superspreaders on dissemination and mitigation of COVID-19
TLDR
An agent-based model that includes persons that spread the disease far more readily than other persons suggests that limiting diffuse social contacts in settings such as bars, transportation, restaurants, parties, concerts and lecture halls is far more effective than limiting the same amount of contact events in the home and work setting.
Spatial and temporal dynamics of superspreading events in the 2014–2015 West Africa Ebola epidemic
TLDR
The results show that superspreaders play a key role in sustaining onward transmission of the epidemic, and they are responsible for a significant proportion of the infections, and age is an important demographic predictor for superspreading.
Significance of super spreader events in COVID-19
TLDR
An epidemic containment strategy needs to include early identification of super spreaders to limit an explosive growth and it is important to be sensitive to the manner in which related information is shared with media and general public.
Persistent heterogeneity not short-term overdispersion determines herd immunity to COVID-19
TLDR
This work shows how to incorporate persistent heterogeneity into a wide class of epidemiological models, and derives a non-linear dependence of the effective reproduction number R_e on the susceptible population fraction S, implying that general considerations of persistent heterogeneity in addition to overdispersion act to limit the scale of pandemics.
The role of superspreading in Middle East respiratory syndrome coronavirus (MERS-CoV) transmission.
  • A. Kucharski, C. Althaus
  • Medicine
    Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin
  • 2015
TLDR
A large transmission cluster of Middle East respiratory syndrome coronavirus (MERSCoV) was ongoing in South Korea and the level of heterogeneity in MERS-CoV transmission was estimated by analyzing data on cluster size distributions, finding substantial potential for superspreading.
Characterizing superspreading events and age-specific infectiousness of SARS-CoV-2 transmission in Georgia, USA
TLDR
An individual-level spatiotemporal mechanistic framework is formulated to integrate individual surveillance data with geolocation data and aggregate mobility data, enabling a more granular understanding of the transmission dynamics of SARS-CoV-2.
Estimating cost-benefit of quarantine length for COVID-19 mitigation
TLDR
It is found that workplace and more diffuse social contacts are roughly equally important to disease spread, and that an effective lockdown must target both, and its relative effect increases when supplemented with other measures that reduce disease transmission.
Estimating the overdispersion in COVID-19 transmission using outbreak sizes outside China.
TLDR
The finding of a highly-overdispersed offspring distribution highlights a potential benefit to focusing intervention efforts on superspreading, as most infected individuals do not contribute to the expansion of an epidemic, the effective reproduction number could be drastically reduced by preventing relatively rare superspreaders.
Heterogeneity is essential for contact tracing
TLDR
The findings show that heterogeneity is essential for CT, and that CT is effective even if only the most frequent contacts can be tracked down, while finding that contact heterogeneity impedes the spread of COVID-19 in comparison with well-mixed networks.
Superspreading and the effect of individual variation on disease emergence
TLDR
It is shown that contact tracing data from eight directly transmitted diseases shows that the distribution of individual infectiousness around R0 is often highly skewed, and implications for outbreak control are explored, showing that individual-specific control measures outperform population-wide measures.
...
...