Literature DB >> 16289268

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

Annelise Tran1, Marcel Raffy.   

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.

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Year:  2005        PMID: 16289268     DOI: 10.1016/j.tpb.2005.06.008

Source DB:  PubMed          Journal:  Theor Popul Biol        ISSN: 0040-5809            Impact factor:   1.570


  11 in total

Review 1.  Models of the impact of dengue vaccines: a review of current research and potential approaches.

Authors:  Michael A Johansson; Joachim Hombach; Derek A T Cummings
Journal:  Vaccine       Date:  2011-06-23       Impact factor: 3.641

2.  Multi-agent systems in epidemiology: a first step for computational biology in the study of vector-borne disease transmission.

Authors:  Benjamin Roche; Jean-François Guégan; François Bousquet
Journal:  BMC Bioinformatics       Date:  2008-10-15       Impact factor: 3.169

3.  Urban structure and dengue fever in Puntarenas, Costa Rica.

Authors:  Adriana Troyo; Douglas O Fuller; Olger Calderón-Arguedas; Mayra E Solano; John C Beier
Journal:  Singap J Trop Geogr       Date:  2009-07-01

4.  Spatio-temporal diffusion pattern and hotspot detection of dengue in Chachoengsao province, Thailand.

Authors:  Phaisarn Jeefoo; Nitin Kumar Tripathi; Marc Souris
Journal:  Int J Environ Res Public Health       Date:  2010-12-29       Impact factor: 3.390

5.  Modeling the dynamic transmission of dengue fever: investigating disease persistence.

Authors:  Líliam César de Castro Medeiros; César Augusto Rodrigues Castilho; Cynthia Braga; Wayner Vieira de Souza; Leda Regis; Antonio Miguel Vieira Monteiro
Journal:  PLoS Negl Trop Dis       Date:  2011-01-11

6.  Diffusion pattern and hotspot detection of dengue in belo horizonte, minas gerais, Brazil.

Authors:  José Eduardo Marques Pessanha Pessanha; Waleska Teixeira Caiaffa; Maria Cristina de Mattos Almeida; Silvana Tecles Brandão; Fernando Augusto Proietti
Journal:  J Trop Med       Date:  2012-03-12

Review 7.  Surveillance of dengue fever virus: a review of epidemiological models and early warning systems.

Authors:  Vanessa Racloz; Rebecca Ramsey; Shilu Tong; Wenbiao Hu
Journal:  PLoS Negl Trop Dis       Date:  2012-05-22

8.  Modelling interventions during a dengue outbreak.

Authors:  D H Barmak; C O Dorso; M Otero; H G Solari
Journal:  Epidemiol Infect       Date:  2013-06-26       Impact factor: 4.434

9.  Identifying landscape features associated with Rift Valley fever virus transmission, Ferlo region, Senegal, using very high spatial resolution satellite imagery.

Authors:  Valérie Soti; Véronique Chevalier; Jonathan Maura; Agnès Bégué; Camille Lelong; Renaud Lancelot; Yaya Thiongane; Annelise Tran
Journal:  Int J Health Geogr       Date:  2013-03-01       Impact factor: 3.918

10.  Seasonal and spatial heterogeneities in host and vector abundances impact the spatiotemporal spread of bluetongue.

Authors:  Maud V P Charron; Georgette Kluiters; Michel Langlais; Henri Seegers; Matthew Baylis; Pauline Ezanno
Journal:  Vet Res       Date:  2013-06-19       Impact factor: 3.683

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