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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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Quantifying the impact of US state non-pharmaceutical interventions on COVID-19 transmission

TL;DR: Using mortality data and a classification guide of state level responses, the intensity of interventions are related to statistical estimates of transmission, finding that more stringent control measures are associated with larger reductions in disease proliferation.
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COVID-19 Datasets: A Survey and Future Challenges

TL;DR: This survey is motivated by the open-source efforts that can be mainly categorized as: COVID-19 diagnosis from CT scans and X-ray images, case reporting, transmission estimation, and prognosis from epidemiological, demographic, and mobility data, and knowledge-based discovery and semantic analysis from the collection of scholarly articles covering CO VID-19.
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Meta-analysis of the SARS-CoV-2 serial interval and the impact of parameter uncertainty on the COVID-19 reproduction number

TL;DR: This paper estimates the impact of the uncertainty surrounding the serial interval, generation interval, incubation period and time delays, on the subsequent estimation of the reproduction number, when pragmatic and more formal approaches are taken, to contribute to modelling COVID-19 transmission.
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Synthesis, antimicrobial, anti-proliferative activities, molecular docking and DFT studies of novel pyrazolo[5,1-c][1, 2, 4]triazine-3-carboxamide derivatives.

TL;DR: In this article, the reactivity of 5-aminouracil with ethyl cyanoacetate was investigated using microwave irradiation to afford the corresponding 2-cyano-N-(2,4-dioxo-1,2,3,4,4tetrahydro...
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Using artificial intelligence technology to fight COVID-19: a review

TL;DR: In this paper , the main application of artificial intelligence technology in the suppression of coronavirus from three major aspects of identification, prediction, and development through a large amount of literature research, and puts forward the current main challenges and possible development directions.
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.