Literature DB >> 18804482

A two-age-classes dengue transmission model.

A K Supriatna1, E Soewono, S A van Gils.   

Abstract

In this paper, we discuss a two-age-classes dengue transmission model with vaccination. The reason to divide the human population into two age classes is for practical purpose, as vaccination is usually concentrated in one age class. We assume that a constant rate of individuals in the child-class is vaccinated. We analyze a threshold number which is equivalent to the basic reproduction number. If there is an undeliberate vaccination to infectious children, which worsens their condition as the time span of being infectious increases, then paradoxically, vaccination can be counter productive. The paradox, stating that vaccination makes the basic reproduction number even bigger, can occur if the worsening effect is greater than a certain threshold, a function of the human demographic and epidemiological parameters, which is independent of the level of vaccination. However, if the worsening effect is to increase virulence so that one will develop symptoms, then the vaccination is always productive. In both situations, screening should take place before vaccination. In general, the presence of class division has obscured the known rule of thumb for vaccination.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18804482     DOI: 10.1016/j.mbs.2008.08.011

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


  5 in total

1.  Parameterization and sensitivity analysis of a complex simulation model for mosquito population dynamics, dengue transmission, and their control.

Authors:  Alicia M Ellis; Andres J Garcia; Dana A Focks; Amy C Morrison; Thomas W Scott
Journal:  Am J Trop Med Hyg       Date:  2011-08       Impact factor: 2.345

2.  Time-dependent force of infection and effective reproduction ratio in an age-structure dengue transmission model in Bandung City, Indonesia.

Authors:  Juni Wijayanti Puspita; Muhammad Fakhruddin; Nuning Nuraini; Edy Soewono
Journal:  Infect Dis Model       Date:  2022-07-11

3.  Modeling the dynamic transmission of dengue fever: investigating disease persistence.

Authors:  Líliam César de Castro Medeiros; César Augusto Rodrigues Castilho; Cynthia Braga; Wayner Vieira de Souza; Leda Regis; Antonio Miguel Vieira Monteiro
Journal:  PLoS Negl Trop Dis       Date:  2011-01-11

4.  Modelling interventions during a dengue outbreak.

Authors:  D H Barmak; C O Dorso; M Otero; H G Solari
Journal:  Epidemiol Infect       Date:  2013-06-26       Impact factor: 4.434

Review 5.  Dynamic epidemiological models for dengue transmission: a systematic review of structural approaches.

Authors:  Mathieu Andraud; Niel Hens; Christiaan Marais; Philippe Beutels
Journal:  PLoS One       Date:  2012-11-06       Impact factor: 3.240

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.