• Corpus ID: 219530715

Projecting and comparing non-pharmaceutical interventions to contain COVID-19 in major economies

@article{He2020ProjectingAC,
  title={Projecting and comparing non-pharmaceutical interventions to contain COVID-19 in major economies},
  author={Jingjing He and Xuefei Guan and Xiaochang Duan and Tao Shen and Jing Lin},
  journal={arXiv: Physics and Society},
  year={2020}
}
Non-pharmaceutical interventions (NPIs) such as quarantine, self-isolation, social distancing, and virus-contact tracing can greatly reduce the spread of the virus during a pandemic. In the wave of the COVID-19 pandemic, many countries have implemented various NPIs for infection control and mitigation. However, the stringency of the NPIs and the resulting impact among different countries remain unclear due to the lack of quantitative factors. In this study we took a further step to incorporateโ€ฆย 

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References

SHOWING 1-10 OF 49 REFERENCES

Modelling the COVID-19 epidemic and implementation of population-wide interventions in Italy

TLDR
It is demonstrated that restrictive social-distancing measures will need to be combined with widespread testing and contact tracing to end the ongoing COVID-19 pandemic.

Inferring change points in the spread of COVID-19 reveals the effectiveness of interventions

TLDR
Modeling and Bayesian inference reveal the time dependence of SARS-CoV-2 interventions on the number of new infections using the example of Germany and the impact of these measures on the disease spread using change point analysis.

The Global Macroeconomic Impacts of COVID-19: Seven Scenarios

Abstract COVID-19 has disrupted the Chinese economy and is spreading globally. The evolution of the disease and its economic impacts are highly uncertain, making formulation of appropriateโ€ฆ

Report 3: Transmissibility of 2019-nCoV

TLDR
Self-sustaining human-to-human transmission of the novel coronavirus (2019-nCov) is the only plausible explanation of the scale of the outbreak in Wuhan and it is unclear at the current time whether this outbreak can be contained within China.

The COVID-19 pandemic: implications for the cytology laboratory

  • S. Pambuccian
  • Medicine, Biology
    Journal of the American Society of Cytopathology
  • 2020

Inferring COVID-19 spreading rates and potential change points for case number forecasts

TLDR
By combining an established epidemiological model with Bayesian inference, the effects of recent governmental measures to mitigating the disease spread are quantified, and analogue change points are incorporated to forecast future scenarios and case numbers.

COVID-19 lockdowns throughout the world

  • D. Koh
  • History
    Occupational Medicine (Oxford, England)
  • 2020