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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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Posted ContentDOI

Simulating SARS-CoV-2 epidemics by region-specific variables and modeling contact tracing App containment

TL;DR: An expanded SIR model of COVID-19 epidemics that accounts for region-specific population densities is built and the results show that app-mediated contact-tracing can improve containment and achieve successful epidemic mitigation even with relatively small fraction of the population using it, and, with increasing penetrance of its adoption, suppression.
Journal ArticleDOI

Constructing Ebola transmission chains from West Africa and estimating model parameters using internet sources.

TL;DR: A transmission chain involving two Ebola clusters in West Africa is created that compared favorably with other published transmission chains, and derived parameters for a mathematical model of Ebola disease transmission that were not statistically different from those derived from published sources.
Posted ContentDOI

Analyses and Forecast for COVID-19 epidemic in India

TL;DR: The study has analysed and predicted the dynamics of the temporal progression of the disease in Indian and the selected eight states and compared India's position in containing the disease with two countries with higher and lower number of infections than India.
Journal ArticleDOI

Inference and forecast of H7N9 influenza in China, 2013 to 2015.

TL;DR: A mathematical model–Bayesian inference system is developed which combines a simple epidemic model and data assimilation method with data on observed human influenza A(H7N9) cases from 19 February 2013 to 19 September 2015 to estimate key epidemiological parameters and to forecast infection in both poultry and humans.
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A vaccination model for COVID-19 in Gauteng, South Africa

TL;DR: In this paper , the authors investigated the impact of government mandates on movement restrictions and non-pharmaceutical interventions on a novel infection, and investigated these strategies in early-stage outbreak dynamics.
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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