The final size of a SARS epidemic model without quarantine

نویسنده

  • Sze-Bi Hsu
چکیده

In this article, we present the continuing work on a SARS model without quarantine by Hsu and Hsieh [Sze-Bi Hsu, Ying-Hen Hsieh, Modeling intervention measures and severity-dependent public response during severe acute respiratory syndrome outbreak, SIAM J. Appl. Math. 66 (2006) 627–647]. An “acting basic reproductive number” ψ is used to predict the final size of the susceptible population. We find the relation among the final susceptible population size S∞, the initial susceptible population S0, and ψ . If ψ > 1, the disease will prevail and the final size of the susceptible, S∞, becomes zero; therefore, everyone in the population will be infected eventually. If ψ < 1, the disease dies out, and then S∞ > 0 which means part of the population will never be infected. Also, when S∞ > 0, S∞ is increasing with respect to the initial susceptible population S0, and decreasing with respect to the acting basic reproductive number ψ . © 2006 Elsevier Inc. All rights reserved.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

EVIDENCE BASED PUBLIC HEALTH POLICY AND PRACTICE Modelling potential responses to severe acute respiratory syndrome in Japan: the role of initial attack size, precaution, and quarantine

Background: There has been an outbreak of the severe acute respiratory syndrome (SARS) worldwide. With the use of detailed epidemiological data from other countries, this article describes the possible reason for the SARS epidemic not appearing in Japan, and simulates the impact of different control strategies that can break the transmission cycle of SARS associated coronavirus. Method: Mathema...

متن کامل

Modelling potential responses to severe acute respiratory syndrome in Japan: the role of initial attack size, precaution, and quarantine.

BACKGROUND There has been an outbreak of the severe acute respiratory syndrome (SARS) worldwide. With the use of detailed epidemiological data from other countries, this article describes the possible reason for the SARS epidemic not appearing in Japan, and simulates the impact of different control strategies that can break the transmission cycle of SARS associated coronavirus. METHOD Mathema...

متن کامل

Control of Epidemics by Quarantine and Isolation Strategies in Highly Mobile Populations

In the absence of valid medicines or vaccine, quarantine and isolation strategies are the most important and effective measures against the outbreaks of epidemic diseases such as SARS. This paper discusses the application of the optimal quarantine and isolation strategies for SARS outbreak control via the Pontryagin’s Maximum Principle. We construct a multigroup SARS transmission model for trav...

متن کامل

Modeling Intervention Measures and Severity-Dependent Public Response during Severe Acute Respiratory Syndrome Outbreak

The 2003 severe acute respiratory syndrome (SARS) epidemic came and left swiftly, resulting in more than 8,000 probable cases worldwide and 774 casualties. It is generally believed that quarantine of those individuals suspected of being infected was instrumental in quick containment of the outbreaks. In this work we propose a differential equation model that includes quarantine and other interv...

متن کامل

Final and peak epidemic sizes for SEIR models with quarantine and isolation.

Two SEIR models with quarantine and isolation are considered, in which the latent and infectious periods are assumed to have an exponential and gamma distribution, respectively. Previous studies have suggested (based on numerical observations) that a gamma distribution model (GDM) tends to predict a larger epidemic peak value and shorter duration than an exponential distribution model (EDM). By...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2007