SrasV1, France, Analysis, bibRecord, 000218

Epidemics Modelings: Some New Challenges

Identifieur interne : 000218 ( France/Analysis ); précédent : 000217; suivant : 000219

Epidemics Modelings: Some New Challenges

Auteurs : Stefanella Boatto [Brésil] ; Renata Stella Khouri [Brésil] ; Lucas Solerman [Brésil] ; Claudia Codeço [Brésil] ; Catherine Bonnet [France]

Source :

Aip Conference Proceedings [ 0094-243X ] ; 2010.

RBID : PMC:7108773

Abstract

Epidemics modeling has been particularly growing in the past years. In epidemics studies, mathematical modeling is used in particular to reach a better understanding of some neglected diseases (dengue, malaria, …) and of new emerging ones (SARS, influenza A,….) of big agglomerates. Such studies offer new challenges both from the modeling point of view (searching for simple models which capture the main characteristics of the disease spreading), data analysis and mathematical complexity. We are facing often with complex networks especially when modeling the city dynamics. Such networks can be static (in first approximation) and homogeneous, static and not homogeneous and/or not static (when taking into account the city structure, micro‐climates, people circulation, etc.). The objective being studying epidemics dynamics and being able to predict its spreading.

Url:

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7108773

DOI: 10.1063/1.3498081
PubMed: 32255868
PubMed Central: 7108773

Affiliations:

Brésil, France

Links to Exploration step

PMC:7108773

Le document en format XML

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<front><div type="abstract" xml:lang="en"><p>Epidemics modeling has been particularly growing in the past years. In epidemics studies,
mathematical modeling is used in particular to reach a better understanding of some
neglected diseases (dengue, malaria, …) and of new emerging ones (SARS, influenza A,….) of
big agglomerates. Such studies offer new challenges both from the modeling point of view
(searching for simple models which capture the main characteristics of the disease
spreading), data analysis and mathematical complexity. We are facing often with complex
networks especially when modeling the city dynamics. Such networks can be static (in first
approximation) and homogeneous, static and not homogeneous and/or not static (when taking
into account the city structure, micro‐climates, people circulation, etc.). The objective
being studying epidemics dynamics and being able to predict its spreading.</p>
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Epidemics Modelings: Some New Challenges

Epidemics Modelings: Some New Challenges

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Abstract

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