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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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Risk and the Republican National Convention: Application of the Novel COVID-19 Operational Risk Assessment.

TL;DR: In this paper, the authors present a risk assessment and mitigation tool for decision-makers to assess SARS-CoV-2 transmission risks that may arise as organizations and businesses hold mass gatherings or increase business operations.
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Sensitivity analysis of the infection transmissibility in the UK during the COVID-19 pandemic

TL;DR: In this paper, sensitivity analysis of transmissibility of the infection as the effects of removing restrictions, for example by returning different occupational groups to their normal working environment and its effect on the reproduction number in the UK was performed.
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Cell-Based Platform for Antigen Testing and Its Application for SARS-CoV-2 Infection

TL;DR: The DxCell platform is a cell-based self-replicative antigen test that detects molecular signatures of the target pathogen and can be distributed in small quantities to testing facilities for expansion on site to the desired volume and introduces an opportunity for a decentralized testing network.
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Modelling the evolution of COVID-19 in high-incidence European countries and regions: estimated number of infections and impact of past and future intervention measures

TL;DR: A previously developed mechanistic model of COVID-19 transmission has been adapted and applied here to study the evolution of the disease and the effect of intervention measures in some European countries and territories where the disease had major impact.
Posted Content

On the parametrization of epidemiologic models -- lessons from modelling COVID-19 epidemic

TL;DR: In this paper, a principled approach to parametrize SIR-type epidemiologic models of different complexities by embedding the model structure as a hidden layer into a general Input-Output Non-Linear Dynamical System (IO-NLDS) is presented.
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.