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Serial interval of novel coronavirus (COVID-19) infections.

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TLDR
The serial interval of COVID-19 is close to or shorter than its median incubation period, indicating that a substantial proportion of secondary transmission may occur prior to illness onset and that calculations made using the SARS serial interval may introduce bias.
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This article is published in International Journal of Infectious Diseases.The article was published on 2020-03-04 and is currently open access. It has received 963 citations till now. The article focuses on the topics: Serial interval & Credible interval.

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Citations
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Disease transmission and control modelling at the science-policy interface

TL;DR: The coronavirus disease 2019 (COVID-19) pandemic has disrupted the lives of billions across the world as mentioned in this paper, and mathematical modelling has been a key tool deployed throughout the pandemic to explore the pot...
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A new model for epidemic prediction: COVID-19 in kingdom saudi arabia case study.

TL;DR: In this paper, a new model named MSIR based on SIR model is proposed to predict the spread of the disease in three cities Riyadh, Hufof and Jeddah in the kingdom of Saudi Arabia.
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Accounting for imported cases in estimating the time-varying reproductive number of COVID-19 in Hong Kong.

TL;DR: In this paper, the authors developed a model to estimate separately the time-varying reproductive number for local cases and imported cases, accounting for imperfect contact tracing of cases, and applied this framework to data on coronavirus disease 2019 outbreaks in Hong Kong.
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Novel spatiotemporal feature extraction parallel deep neural network for forecasting confirmed cases of coronavirus disease 2019

TL;DR: In this article , a deep neural network framework was proposed to forecast the COVID-19 outbreak, which combined 1D CNN, 2D CNN and bidirectional gated recurrent units.
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A novel IDEA: The impact of serial interval on a modified-Incidence Decay and Exponential Adjustment (m-IDEA) model for projections of daily COVID-19 cases

TL;DR: The epidemiological reports suggests that the serial interval of COVID-19 might increase as the pandemic progresses, which is rather intuitive: Increasing serial intervals can be attributed to gradual increases in public health interventions such as facility closures, public caution and social distancing, thus increasing the time between transmission events.
References
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Journal ArticleDOI

Transmission Dynamics and Control of Severe Acute Respiratory Syndrome

TL;DR: It is estimated that a single infectious case of SARS will infect about three secondary cases in a population that has not yet instituted control measures, and public-health efforts to reduce transmission are expected to have a substantial impact on reducing the size of the epidemic.
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Incubation period and other epidemiological characteristics of 2019 novel coronavirus infections with right truncation: A statistical analysis of publicly available case data

TL;DR: The incubation period falls within the range of 2–14 days with 95% confidence and has a mean of around 5 days when approximated using the best-fit lognormal distribution and it is recommended that the length of quarantine should be at least 14 days.
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Factors that make an infectious disease outbreak controllable.

TL;DR: It is concluded that severe acute respiratory syndrome and smallpox are easier to control using these simple public health measures and should be a priority during an outbreak of a novel infectious agent.
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What is the mutation period for Covid 19?

The serial interval of COVID-19 is close to or shorter than its median incubation period.