Literature DB >> 11030059

[Satellite data and disease transmission by vectors: the creation of maps for risk prediction].

S E Randolph1, D J Rogers.   

Abstract

The complex set of criteria determining the reproduction rate of infection (distribution, density, dynamics of arthropod populations, temperature, humidity...) can be estimated with far greater precision by satellite than by conventional meteorological stations. By linking a) distribution modes and type of environment and b) satellite data and rates of underlying biological processes, we have been able to elaborate two super-imposed models: one for vector populations and one for pathogenic agents. We have used such models to look at, for example, trypanosomiasis, malaria and Lyme disease.

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Year:  2000        PMID: 11030059

Source DB:  PubMed          Journal:  Bull Soc Pathol Exot        ISSN: 0037-9085


  4 in total

1.  Trends in tick population dynamics and pathogen transmission in emerging tick-borne pathogens in Europe: an introduction.

Authors:  Nienke Hartemink; Willem Takken
Journal:  Exp Appl Acarol       Date:  2016-01-18       Impact factor: 2.132

2.  Conditions of malaria transmission in Dakar from 2007 to 2010.

Authors:  Libasse Gadiaga; Vanessa Machault; Frédéric Pagès; Abdoulaye Gaye; Fanny Jarjaval; Lydie Godefroy; Birane Cissé; Jean-Pierre Lacaux; Cheikh Sokhna; Jean-François Trape; Christophe Rogier
Journal:  Malar J       Date:  2011-10-21       Impact factor: 2.979

3.  Prevalence and prediction of Lyme disease in Hainan province.

Authors:  Lin Zhang; Xiong Zhu; Xuexia Hou; Huan Li; Xiaona Yang; Ting Chen; Xiaoying Fu; Guangqing Miao; Qin Hao; Sha Li
Journal:  PLoS Negl Trop Dis       Date:  2021-03-18

4.  Local scale prediction of Plasmodium falciparum malaria transmission in an endemic region using temperature and rainfall.

Authors:  Yazoumé Yé; Moshe Hoshen; Catherine Kyobutungi; Valérie R Louis; Rainer Sauerborn
Journal:  Glob Health Action       Date:  2009-11-11       Impact factor: 2.640

  4 in total

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