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Open AccessJournal ArticleDOI

Transmission Dynamics and Control of Severe Acute Respiratory Syndrome

TLDR
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.
Abstract
Severe acute respiratory syndrome (SARS) is a recently described illness of humans that has spread widely over the past 6 months. With the use of detailed epidemiologic data from Singapore and epidemic curves from other settings, we estimated the reproductive number for SARS in the absence of interventions and in the presence of control efforts. We estimate that a single infectious case of SARS will infect about three secondary cases in a population that has not yet instituted control measures. Public-health efforts to reduce transmission are expected to have a substantial impact on reducing the size of the epidemic.

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Citations
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Journal ArticleDOI

Epidemiology and transmission of COVID-19 in 391 cases and 1286 of their close contacts in Shenzhen, China: a retrospective cohort study.

TL;DR: An analysis of data from the Shenzhen Center for Disease Control and Prevention identified 391 SARS-CoV-2 cases and 1286 close contacts shows that isolation and contact tracing reduce the time during which cases are infectious in the community, thereby reducing the R.
Journal ArticleDOI

High Contagiousness and Rapid Spread of Severe Acute Respiratory Syndrome Coronavirus 2

TL;DR: It is shown that active surveillance, contact tracing, quarantine, and early strong social distancing efforts are needed to stop transmission of the virus.
Journal ArticleDOI

A New Framework and Software to Estimate Time-Varying Reproduction Numbers During Epidemics

TL;DR: This tool produces novel, statistically robust analytical estimates of R that incorporates uncertainty in the distribution of the serial interval and should help epidemiologists quantify temporal changes in the transmission intensity of future epidemics by using surveillance data.
Journal ArticleDOI

How generation intervals shape the relationship between growth rates and reproductive numbers.

TL;DR: It is shown that by taking the generation interval distribution equal to the observed distribution, it is possible to obtain an empirical estimate of the reproductive number and obtain an upper bound to the range of possible values that the reproductiveNumber may attain for a given growth rate.
References
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Book

Infectious Diseases of Humans: Dynamics and Control

TL;DR: This book discusses the biology of host-microparasite associations, dynamics of acquired immunity heterogeneity within the human community indirectly transmitted helminths, and the ecology and genetics of hosts and parasites.
Book

A first course in stochastic processes

TL;DR: In this paper, the Basic Limit Theorem of Markov Chains and its applications are discussed and examples of continuous time Markov chains are presented. But they do not cover the application of continuous-time Markov chain in matrix analysis.
Journal ArticleDOI

Seasonal variation in host susceptibility and cycles of certain infectious diseases.

TL;DR: Ample evidence indicates that photoperiod-driven physiologic changes are typical in mammalian species, including some in humans, and underlie human resistance to infectious diseases for large portions of the year and the changes can be identified and modified, the therapeutic and preventive implications may be considerable.
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