Literature DB >> 21842424

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

Hisashi Inaba1.   

Abstract

Although its usefulness and possibility of the well-known definition of the basic reproduction number R0 for structured populations by Diekmann, Heesterbeek and Metz (J Math Biol 28:365-382, 1990) (the DHM definition) have been widely recognized mainly in the context of epidemic models, originally it deals with population dynamics in a constant environment, so it cannot be applied to formulate the threshold principle for population growth in time-heterogeneous environments. Since the mid-1990s, several authors proposed some ideas to extend the definition of R0 to the case of a periodic environment. In particular, the definition of R0 in a periodic environment by Bacaër and Guernaoui (J Math Biol 53:421-436, 2006) (the BG definition) is most important, because their definition of periodic R0 can be interpreted as the asymptotic per generation growth rate, which is an essential feature of the DHM definition. In this paper, we introduce a new definition of R0 based on the generation evolution operator (GEO), which has intuitively clear biological meaning and can be applied to structured populations in any heterogeneous environment. Using the generation evolution operator, we show that the DHM definition and the BG definition completely allow the generational interpretation and, in those two cases, the spectral radius of GEO equals the spectral radius of the next generation operator, so it gives the basic reproduction number. Hence the new definition is an extension of the DHM definition and the BG definition. Finally we prove a weak sign relation that if the average Malthusian parameter exists, it is nonnegative when R0>1 and it is nonpositive when R0<1.

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Year:  2011        PMID: 21842424     DOI: 10.1007/s00285-011-0463-z

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.164


  17 in total

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

Authors:  Nicolas Bacaër; El Hadi Ait Dads
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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.  The earliest notes on the reproduction number in relation to herd immunity: Theophil Lotz and smallpox vaccination.

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4.  Emergence of the concept of the basic reproduction number from mathematical demography.

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Journal:  J Theor Biol       Date:  2006-08-12       Impact factor: 2.691

5.  Threshold and stability results for an age-structured epidemic model.

Authors:  H Inaba
Journal:  J Math Biol       Date:  1990       Impact factor: 2.259

6.  Resonance of the epidemic threshold in a periodic environment.

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

Authors:  O Diekmann; J A P Heesterbeek; M G Roberts
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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.  Threshold quantities for helminth infections.

Authors:  J A Heesterbeek; M G Roberts
Journal:  J Math Biol       Date:  1995       Impact factor: 2.259

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

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  14 in total

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

2.  On the biological interpretation of a definition for the parameter R₀ in periodic population models.

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Journal:  J Math Biol       Date:  2011-10-11       Impact factor: 2.259

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4.  An age-structured epidemic model for the demographic transition.

Authors:  Hisashi Inaba; Ryohei Saito; Nicolas Bacaër
Journal:  J Math Biol       Date:  2018-07-31       Impact factor: 2.259

5.  On the basic reproduction number in a random environment.

Authors:  Nicolas Bacaër; Mohamed Khaladi
Journal:  J Math Biol       Date:  2012-10-23       Impact factor: 2.259

6.  Basic reproduction ratios for periodic and time-delayed compartmental models with impulses.

Authors:  Zhenguo Bai; Xiao-Qiang Zhao
Journal:  J Math Biol       Date:  2019-11-25       Impact factor: 2.259

7.  Collocation of Next-Generation Operators for Computing the Basic Reproduction Number of Structured Populations.

Authors:  Dimitri Breda; Toshikazu Kuniya; Jordi Ripoll; Rossana Vermiglio
Journal:  J Sci Comput       Date:  2020-10-31       Impact factor: 2.592

8.  An epi-evolutionary model for predicting the adaptation of spore-producing pathogens to quantitative resistance in heterogeneous environments.

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Journal:  Evol Appl       Date:  2021-12-31       Impact factor: 5.183

9.  A climate-based malaria model with the use of bed nets.

Authors:  Xiunan Wang; Xiao-Qiang Zhao
Journal:  J Math Biol       Date:  2017-09-30       Impact factor: 2.259

10.  Field transmission intensity of Schistosoma japonicum measured by basic reproduction ratio from modified Barbour's model.

Authors:  Shu-Jing Gao; Yu-Ying He; Yu-Jiang Liu; Guo-Jing Yang; Xiao-Nong Zhou
Journal:  Parasit Vectors       Date:  2013-05-16       Impact factor: 3.876

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