Suppr超能文献

基于大规模信息的登革热疫情动态研究

On the dynamics of dengue epidemics from large-scale information.

作者信息

Tran Annelise, Raffy Marcel

机构信息

Unité Epidemiologie et Ecologie des Maladies Animales, Centre de Coopération Internationale en Recherche Agronomique pour le Développement, Montpellier, France.

出版信息

Theor Popul Biol. 2006 Feb;69(1):3-12. doi: 10.1016/j.tpb.2005.06.008. Epub 2005 Nov 11.

Abstract

A model for the spatial and temporal dynamics of dengue fever is proposed in this article. The vector population dynamics is derived from a diffusion equation that is based on environmental parameters at the scale of a remote-sensing image. Vectors and hosts populations are then classically divided into compartments corresponding to their respective disease status. The transmission processes between hosts and vectors are described by a set of differential equations. The link between the vector population diffusion model and the compartmental model enables one to describe both the spatial and temporal dynamics of the disease. Simulations in artificial and actual landscapes show the advantage of using remotely sensed and complementary meteorological data for modelling in a realistic way the geographic spread of a vector-borne disease such as dengue fever.

摘要

本文提出了一种登革热时空动态模型。病媒种群动态源自一个基于遥感影像尺度环境参数的扩散方程。然后,病媒和宿主种群按照其各自的疾病状态被经典地划分为不同的区室。宿主与病媒之间的传播过程由一组微分方程描述。病媒种群扩散模型与区室模型之间的联系使得人们能够描述疾病的时空动态。在人工景观和实际景观中的模拟显示了使用遥感和补充气象数据以实际方式模拟登革热等病媒传播疾病地理扩散的优势。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验