Literature DB >> 32115010

Attach importance to the procedure of deriving reproduction numbers from compartmental models: Letter to the editor in response to 'Seasonality of the transmissibility of hand, foot and mouth disease: a modelling study in Xiamen City, China'.

Shi Zhao1,2, Jinjun Ran3, Guangpu Yang4,5, Peihua Cao6.   

Abstract

Entities:  

Year:  2020        PMID: 32115010      PMCID: PMC7118356          DOI: 10.1017/S0950268820000588

Source DB:  PubMed          Journal:  Epidemiol Infect        ISSN: 0950-2688            Impact factor:   2.451


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To the Editor

We read with interests Huang et al.'s article ‘Seasonality of the transmissibility of hand, foot and mouth disease: a modelling study in Xiamen City, China’ [1]. Huang et al. modelled the long-term transmission dynamics of hand, foot and mouth disease (HFMD) in Xiamen, China. However, we suspected that there was an inconsistency between the model formulation and the effective reproduction number, Reff, in [1]. As such, we highlighted the importance of following the next generation matrix (NGM) analytic procedure to find reproduction numbers in compartmental models. The NGM approach is widely adopted to derive the reproduction numbers in modelling infectious disease epidemiology [2-9]. With this approach, we re-analysed the ‘SEIAR’ model in [1], and found the effective reproduction number, denoted by reff in this letter to distinguish from Reff in [1], in Eqn (1). Here, all notations have the same definitions as in Huang et al. [1]. We found that reff was different from that in Huang et al. [1]. For a sufficiently small value of the human natural death rate (dr), we have an approximated version of reff as in Eqn (2), and it has an analytic form closer to the Reff in [1]. It was notable that the denominator of the first fractional term in the brackets, i.e. [⋅], has an additional term ‘f’ in Eqn (2), compared to the Reff in [1]. This difference implied that the HFMD-induced fatality rate (f) was neglected in Huang et al. [1]. Furthermore, according to Table 1 in [1], the value of f was set to be (0.03% =) 0.0003 that appears relatively small compared to the main ‘removing’ rates (γ and γ′) of HFMD infections. This setting suggested that the Reff in [1] could be treated as a reasonable simplification from its theoretical version. Hence, this inconsistency between the model formulation and the reproduction number was unlikely to affect the main conclusions. In conclusion, we call for caution in deriving and simplifying reproduction numbers from compartmental models.
  6 in total

1.  Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission.

Authors:  P van den Driessche; James Watmough
Journal:  Math Biosci       Date:  2002 Nov-Dec       Impact factor: 2.144

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

Review 3.  Perspectives on the basic reproductive ratio.

Authors:  J M Heffernan; R J Smith; L M Wahl
Journal:  J R Soc Interface       Date:  2005-09-22       Impact factor: 4.118

4.  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

Review 5.  Mathematical models of infectious disease transmission.

Authors:  Nicholas C Grassly; Christophe Fraser
Journal:  Nat Rev Microbiol       Date:  2008-06       Impact factor: 60.633

6.  Seasonality of the transmissibility of hand, foot and mouth disease: a modelling study in Xiamen City, China.

Authors:  Zehong Huang; Mingzhai Wang; Luxia Qiu; Ning Wang; Zeyu Zhao; Jia Rui; Yao Wang; Xingchun Liu; Mikah Ngwanguong Hannah; Benhua Zhao; Yanhua Su; Bin Zhao; Tianmu Chen
Journal:  Epidemiol Infect       Date:  2019-12-30       Impact factor: 2.451

  6 in total
  1 in total

1.  Assessing the Impacts of Meteorological Factors on COVID-19 Pandemic Using Generalized Estimating Equations.

Authors:  Shengnan Lin; Jia Rui; Fang Xie; Meirong Zhan; Qiuping Chen; Bin Zhao; Yuanzhao Zhu; Zhuoyang Li; Bin Deng; Shanshan Yu; An Li; Yanshu Ke; Wenwen Zeng; Yanhua Su; Yi-Chen Chiang; Tianmu Chen
Journal:  Front Public Health       Date:  2022-07-01
  1 in total

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