Literature DB >> 18768142

The state-reproduction number for a multistate class age structured epidemic system and its application to the asymptomatic transmission model.

Hisashi Inaba1, Hiroshi Nishiura.   

Abstract

In this paper, we develop the theory of a state-reproduction number for a multistate class age structured epidemic system and apply it to examine the asymptomatic transmission model. We formulate a renewal integral equation system to describe the invasion of infectious diseases into a multistate class age structured host population. We define the state-reproduction number for a class age structured system, which is the net reproduction number of a specific host type and which plays an analogous role to the type-reproduction number [M.G. Roberts, J.A.P. Heesterbeek, A new method for estimating the effort required to control an infectious disease, Proc. R. Soc. Lond. B 270 (2003) 1359; J.A.P. Heesterbeek, M.G. Roberts, The type-reproduction number T in models for infectious disease control, Math. Biosci. 206 (2007) 3] in discussing the critical level of public health intervention. The renewal equation formulation permits computations not only of the state-reproduction number, but also of the generation time and the intrinsic growth rate of infectious diseases. Subsequently, the basic theory is applied to capture the dynamics of a directly transmitted disease within two types of infected populations, i.e., asymptomatic and symptomatic individuals, in which the symptomatic class is observable and hence a target host of the majority of interventions. The state-reproduction number of the symptomatic host is derived and expressed as a measurable quantity, leading to discussion on the critical level of case isolation. The serial interval and other epidemiologic indices are computed, clarifying the parameters on which these indices depend. As a practical example, we illustrate the eradication threshold for case isolation of smallpox. The generation time and serial interval are comparatively examined for pandemic influenza.

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Year:  2008        PMID: 18768142     DOI: 10.1016/j.mbs.2008.08.005

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  14 in total

1.  On the definition and the computation of the type-reproduction number T for structured populations in heterogeneous environments.

Authors:  Hisashi Inaba
Journal:  J Math Biol       Date:  2012-03-14       Impact factor: 2.259

2.  Unraveling R0: considerations for public health applications.

Authors:  Benjamin Ridenhour; Jessica M Kowalik; David K Shay
Journal:  Am J Public Health       Date:  2013-12-12       Impact factor: 9.308

3.  The construction of next-generation matrices for compartmental epidemic models.

Authors:  O Diekmann; J A P Heesterbeek; M G Roberts
Journal:  J R Soc Interface       Date:  2009-11-05       Impact factor: 4.118

4.  On a new perspective of the basic reproduction number in heterogeneous environments.

Authors:  Hisashi Inaba
Journal:  J Math Biol       Date:  2011-08-14       Impact factor: 2.164

5.  Contingency planning for a deliberate release of smallpox in Great Britain--the role of geographical scale and contact structure.

Authors:  Thomas House; Ian Hall; Leon Danon; Matt J Keeling
Journal:  BMC Infect Dis       Date:  2010-02-14       Impact factor: 3.090

6.  Fever screening during the influenza (H1N1-2009) pandemic at Narita International Airport, Japan.

Authors:  Hiroshi Nishiura; Kazuko Kamiya
Journal:  BMC Infect Dis       Date:  2011-05-03       Impact factor: 3.090

7.  Theoretical perspectives on the infectiousness of Ebola virus disease.

Authors:  Hiroshi Nishiura; Gerardo Chowell
Journal:  Theor Biol Med Model       Date:  2015-01-06       Impact factor: 2.432

8.  Application of the backstepping method to the prediction of increase or decrease of infected population.

Authors:  Toshikazu Kuniya; Hideki Sano
Journal:  Theor Biol Med Model       Date:  2016-05-10       Impact factor: 2.432

9.  The impact of model building on the transmission dynamics under vaccination: observable (symptom-based) versus unobservable (contagiousness-dependent) approaches.

Authors:  Keisuke Ejima; Kazuyuki Aihara; Hiroshi Nishiura
Journal:  PLoS One       Date:  2013-04-12       Impact factor: 3.240

10.  Quarantine for pandemic influenza control at the borders of small island nations.

Authors:  Hiroshi Nishiura; Nick Wilson; Michael G Baker
Journal:  BMC Infect Dis       Date:  2009-03-11       Impact factor: 3.090

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