Cargando…

Describing dengue epidemics: Insights from simple mechanistic models

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 of...

Descripción completa

Detalles Bibliográficos
Autores principales: Aguiar, Maíra, Stollenwerk, Nico, Kooi, Bob W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Institute of Physics 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7108774/
https://www.ncbi.nlm.nih.gov/pubmed/32255870
http://dx.doi.org/10.1063/1.4756395
_version_ 1783512842959323136
author Aguiar, Maíra
Stollenwerk, Nico
Kooi, Bob W.
author_facet Aguiar, Maíra
Stollenwerk, Nico
Kooi, Bob W.
author_sort Aguiar, Maíra
collection PubMed
description 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.
format Online
Article
Text
id pubmed-7108774
institution National Center for Biotechnology Information
language English
publishDate 2012
publisher American Institute of Physics
record_format MEDLINE/PubMed
spelling pubmed-71087742020-04-01 Describing dengue epidemics: Insights from simple mechanistic models Aguiar, Maíra Stollenwerk, Nico Kooi, Bob W. AIP Conf Proc Symposia 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. American Institute of Physics 2012-09-26 /pmc/articles/PMC7108774/ /pubmed/32255870 http://dx.doi.org/10.1063/1.4756395 Text en All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).
spellingShingle Symposia
Aguiar, Maíra
Stollenwerk, Nico
Kooi, Bob W.
Describing dengue epidemics: Insights from simple mechanistic models
title Describing dengue epidemics: Insights from simple mechanistic models
title_full Describing dengue epidemics: Insights from simple mechanistic models
title_fullStr Describing dengue epidemics: Insights from simple mechanistic models
title_full_unstemmed Describing dengue epidemics: Insights from simple mechanistic models
title_short Describing dengue epidemics: Insights from simple mechanistic models
title_sort describing dengue epidemics: insights from simple mechanistic models
topic Symposia
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7108774/
https://www.ncbi.nlm.nih.gov/pubmed/32255870
http://dx.doi.org/10.1063/1.4756395
work_keys_str_mv AT aguiarmaira describingdengueepidemicsinsightsfromsimplemechanisticmodels
AT stollenwerknico describingdengueepidemicsinsightsfromsimplemechanisticmodels
AT kooibobw describingdengueepidemicsinsightsfromsimplemechanisticmodels