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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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Estimation of Some Epidemiological Parameters With the COVID-19 Data of Mayotte

TL;DR: In this article , a fit of the probability distribution which underlines the serial interval distribution of the COVID-19 on a given set of data collected on the viral shedding in patients with laboratory-confirmed is studied.
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Machine Learning Algorithms to Fight the COVID-19 Pandemic

Manoranjan Pattnaik, +1 more
- 04 Jan 2023 - 
TL;DR: In this paper , the authors proposed a real-time out of sample forecast of the future COVID-19 confirmed and death cases respectively for the top five mostly affected countries in the world namely USA, India, Brazil, Russia and UK.
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Direct modelling from GPS data reveals daily-activity-dependency of effective reproduction number in COVID-19 pandemic

TL;DR: In this article , the authors developed a model that enables quantitative estimations of the infection risk for individual places and activities by using smartphone GPS data for the Tokyo metropolitan area, where the effective reproduction number is directly calculated from the number of infectious social contacts defined by the square of the population density at each location.
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Discrete spread model for COVID-19: the case of Lebanon

TL;DR: Understanding the role of the parameters involved in the models help policy makers in deciding the appropriate mitigation measures and paves the way for models that take into account societal factors and complex human behavior without an extensive process of data collection.
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Accounting for the Potential of Overdispersion in Estimation of the Time-varying Reproduction Number

TL;DR: In this paper , a negative binomial framework was developed to estimate the time-varying reproduction number (Rt) and the dispersion parameter (kt) in COVID-19 incidence data in Hong Kong in 2020 and 2021.
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.
Journal ArticleDOI

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.