Literature DB >> 10942786

Influence of vertical and mechanical transmission on the dynamics of dengue disease.

L Esteva1, C Vargas.   

Abstract

We formulate a non-linear system of differential equations that models the dynamics of transmission of dengue fever. We consider vertical and mechanical transmission in the vector population, and study the effects that they have on the dynamics of the disease. A qualitative analysis as well as some numerical examples are given for the model.

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Year:  2000        PMID: 10942786     DOI: 10.1016/s0025-5564(00)00024-9

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


  19 in total

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Authors:  M G Roberts
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Authors:  Michael A Johansson; Joachim Hombach; Derek A T Cummings
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5.  A new method for estimating the effort required to control an infectious disease.

Authors:  M G Roberts; J A P Heesterbeek
Journal:  Proc Biol Sci       Date:  2003-07-07       Impact factor: 5.349

6.  Mathematical analysis of the role of hospitalization/isolation in controlling the spread of Zika fever.

Authors:  Mudassar Imran; Muhammad Usman; Tufail Malik; Ali R Ansari
Journal:  Virus Res       Date:  2018-07-09       Impact factor: 3.303

7.  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

8.  Effect of Larval Competition on Extrinsic Incubation Period and Vectorial Capacity of Aedes albopictus for Dengue Virus.

Authors:  Jeffrey Bara; Zoi Rapti; Carla E Cáceres; Ephantus J Muturi
Journal:  PLoS One       Date:  2015-05-07       Impact factor: 3.240

9.  Bifurcation analysis in models for vector-borne diseases with logistic growth.

Authors:  Guihua Li; Zhen Jin
Journal:  ScientificWorldJournal       Date:  2014-03-25

Review 10.  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

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