Literature DB >> 18314231

Basic mathematical models for the temporal dynamics of HAV in medium-endemicity Italian areas.

Marco Ajelli1, Mimmo Iannelli, Piero Manfredi, Marta L Ciofi degli Atti.   

Abstract

In some Southern Italy areas Hepatitis A still represents a serious public health issue. In 1996 a big epidemics in Puglia led that region to adopt a mass vaccination programme. In this paper a basic mathematical model for the temporal trends of Hepatitis A Virus (HAV) in Southern Italy is proposed and investigated. The model includes the main distinctive features of HAV in Southern Italy, i.e. multiplicity of exposure factors, and periodic forcing caused by yearly patterns of seafood consumption. The analysis illustrates the role played by the risk factors on equilibria, stability, and the period of HAV oscillations, both natural and in presence of vaccination. The model also fits well temporal trends of HAV in Southern Italy, suggesting that it is a good starting point for more structured modelling.

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Year:  2008        PMID: 18314231     DOI: 10.1016/j.vaccine.2007.12.058

Source DB:  PubMed          Journal:  Vaccine        ISSN: 0264-410X            Impact factor:   3.641


  7 in total

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2.  Computing R 0 of dynamic models by a definition-based method.

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Journal:  Infect Dis Model       Date:  2022-05-24

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Journal:  PLoS One       Date:  2014-05-20       Impact factor: 3.240

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Journal:  Int J Environ Res Public Health       Date:  2017-05-24       Impact factor: 3.390

6.  Serosurveillance of hepatitis A in a region which adopted the universal mass vaccination.

Authors:  Maria Filomena Gallone; Francesco Desiante; Maria Serena Gallone; Giovanna Barbuti; Silvio Tafuri; Cinzia Germinario
Journal:  Medicine (Baltimore)       Date:  2017-03       Impact factor: 1.889

7.  Computational modeling of interventions and protective thresholds to prevent disease transmission in deploying populations.

Authors:  Colleen Burgess; Angela Peace; Rebecca Everett; Buena Allegri; Patrick Garman
Journal:  Comput Math Methods Med       Date:  2014-06-09       Impact factor: 2.238

  7 in total

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