Literature DB >> 22415249

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

Hisashi Inaba1.   

Abstract

In the context of mathematical epidemiology, the type-reproduction number (TRN) for a specific host type is interpreted as the average number of secondary cases of that type produced by the primary cases of the same host type during the entire course of infection. Here, it must be noted that T takes into account not only the secondary cases directly transmitted from the specific host but also the cases indirectly transmitted by way of other types, who were infected from the primary cases of the specific host with no intermediate cases of the target host. Roberts and Heesterbeek (Proc R Soc Lond B 270:1359-1364, 2003) have shown that T is a useful measure when a particular single host type is targeted in the disease control effort in a community with various types of host, based on the fact that the sign relation sign(R₀-1) = sign(T-1) holds between the basic reproduction number R₀ and T. In fact, T can be seen as an extension of R₀ in a sense that the threshold condition of the total population growth can be formulated by the reproduction process of the target type only. However, the original formulation is limited to populations with discrete state space in constant environments. In this paper, based on a new perspective of R₀ in heterogeneous environments (Inaba in J Math Biol 2011), we give a general definition of the TRN for continuously structured populations in heterogeneous environments and show some examples of its computation and applications.

Entities:  

Mesh:

Year:  2012        PMID: 22415249     DOI: 10.1007/s00285-012-0522-0

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  22 in total

1.  Genealogy with seasonality, the basic reproduction number, and the influenza pandemic.

Authors:  Nicolas Bacaër; El Hadi Ait Dads
Journal:  J Math Biol       Date:  2010-07-06       Impact factor: 2.259

2.  On the definition and the computation of the basic reproduction ratio R0 in models for infectious diseases in heterogeneous populations.

Authors:  O Diekmann; J A Heesterbeek; J A Metz
Journal:  J Math Biol       Date:  1990       Impact factor: 2.259

3.  Approximation of the basic reproduction number R0 for vector-borne diseases with a periodic vector population.

Authors:  Nicolas Bacaër
Journal:  Bull Math Biol       Date:  2007-01-30       Impact factor: 1.758

4.  The type-reproduction number T in models for infectious disease control.

Authors:  J A P Heesterbeek; M G Roberts
Journal:  Math Biosci       Date:  2006-03-10       Impact factor: 2.144

5.  Periodic matrix population models: growth rate, basic reproduction number, and entropy.

Authors:  Nicolas Bacaër
Journal:  Bull Math Biol       Date:  2009-05-02       Impact factor: 1.758

Review 6.  Vaccination in pulses: a strategy for global eradication of measles and polio?

Authors:  D J Nokes; J Swinton
Journal:  Trends Microbiol       Date:  1997-01       Impact factor: 17.079

7.  The Malthusian parameter and R0 for heterogeneous populations in periodic environments.

Authors:  Hisashi Inaba
Journal:  Math Biosci Eng       Date:  2012-04       Impact factor: 2.080

8.  The epidemic threshold of vector-borne diseases with seasonality: the case of cutaneous leishmaniasis in Chichaoua, Morocco.

Authors:  Nicolas Bacaër; Souad Guernaoui
Journal:  J Math Biol       Date:  2006-07-05       Impact factor: 2.259

9.  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

10.  Pulse mass measles vaccination across age cohorts.

Authors:  Z Agur; L Cojocaru; G Mazor; R M Anderson; Y L Danon
Journal:  Proc Natl Acad Sci U S A       Date:  1993-12-15       Impact factor: 11.205

View more
  1 in total

1.  Real Time Forecasting of Measles Using Generation-dependent Mathematical Model in Japan, 2018.

Authors:  Andrei R Akhmetzhanov; Hyojung Lee; Sung-Mok Jung; Ryo Kinoshita; Kazuki Shimizu; Keita Yoshii; Hiroshi Nishiura
Journal:  PLoS Curr       Date:  2018-10-15
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.