Describing dengue epidemics: Insights from simple mechanistic models | Zendy

Maíra Aguiar | Zendy; Nico Stollenwerk | Zendy; Bob W. Kooi | Zendy

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Describing dengue epidemics: Insights from simple mechanistic models

Author(s) -

Maíra Aguiar,

Nico Stollenwerk,

Bob W. Kooi

Publication year - 2012

Publication title -

aip conference proceedings

Language(s) - English

Resource type - Conference proceedings

SCImago Journal Rank - 0.177

H-Index - 75

eISSN - 1551-7616

pISSN - 0094-243X

DOI - 10.1063/1.4756395

Subject(s) - dengue fever , inference , perspective (graphical) , computer science , epidemiology , set (abstract data type) , incidence (geometry) , simple (philosophy) , data science , virology , medicine , artificial intelligence , mathematics , epistemology , philosophy , geometry , programming language

We present a set of nested models to be applied to dengue fever epidemiology. We perform a qualitative study in order to show how much complexity we really need to add into epidemiological models to be able to describe the fluctuations observed in empirical dengue hemorrhagic fever incidence data offering a promising perspective on inference of parameter values from dengue case notifications.

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