Spatial patterns and eco-epidemiological systems – part I: multi-scale spatial modelling of the occurrence of Chagas disease insect vectors

Roux, Emmanuel; Venâncio, Annamaria de Fátima; Girres, Jean-François; Romana, C.

doi:10.4081/gh.2011.156

Cited by 11 publications

(7 citation statements)

References 17 publications

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“…In addition to this approach, the integrated use of spatial analysis techniques to extend the analytical capability, with insertion of spatial and temporal dimensions of the transmission of Chagas disease, has shown great potential, in particular by the significant development of portable electronic equipment and software for data processing and analysis (70) (85) (86) (87) .…”

Section: Vector Transmissionmentioning

confidence: 99%

2 nd Brazilian Consensus on Chagas Disease, 2015

Dias

Ramos

Gontijo

et al. 2016

Rev. Soc. Bras. Med. Trop.

312

677

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Section: Vector Transmissionmentioning

confidence: 99%

2 nd Brazilian Consensus on Chagas Disease, 2015

Dias

Ramos

Gontijo

et al. 2016

Rev. Soc. Bras. Med. Trop.

312

677

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“…71 Adicionalmente a esta abordagem, a utilização integrada de técnicas de análise espacial para ampliar a capacidade analítica, com inserção das dimensões espaciais e temporais da transmissão da doença de Chagas, tem demonstrado grande potencialidade, em especial pelo expressivo desenvolvimento de equipamentos eletrônicos portáteis e softwares de processamento e análise de dados. 70,[85][86][87] Nas últimas duas décadas, foram publicados estudos com descrição de diferentes graus de resistência das populações de triatomíneos a inseticidas. 88 Entretanto, desconhecem-se os reais fatores por trás da emergência destes fenótipos e o impacto que esta situação trará no desenvolvimento das estratégias padronizadas para controle de vetores.…”

Section: Transmissão Vetorialunclassified

II Consenso Brasileiro em Doença de Chagas, 2015

Dias¹,

Ramos²,

Gontijo³

et al. 2016

Epidemiol. Serv. Saúde

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A doença de Chagas é uma condição crônica negligenciada com elevada carga de morbimortalidade e impacto dos pontos de vista psicológico, social e econômico. Representa um importante problema de saúde pública no Brasil, com diferentes cenários regionais. Este documento traduz a sistematização das evidências que compõe o Consenso Brasileiro de Doença de Chagas. O objetivo foi sistematizar estratégias de diagnóstico, tratamento, prevenção e controle da doença de Chagas no país, de modo a refletir as evidências científicas disponíveis. Sua construção fundamentou-se na articulação e contribuição estratégica de especialistas brasileiros com conhecimento, experiência e atualização sobre diferentes aspectos da doença. Representa o resultado da estreita colaboração entre a Sociedade Brasileira de Medicina Tropical e o Ministério da Saúde. Espera-se com este documento fortalecer o desenvolvimento de ações integradas para enfrentamento da doença no país com foco em epidemiologia, gestão, atenção integral (incluindo famílias e comunidades), comunicação, informação, educação e pesquisas.

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“…For instance, it could be applied to the parameterisation of IFM-like (incidence function model-like) measurements, as described in Moilanen and Nieminen [52]. A comparable application of the proposed methodology was described by Roux et al [51] for selection of the most appropriate spatial weighted structure for modelling the presence and abundance of the insect vector of Chagas disease.…”

Section: Discussionmentioning

confidence: 99%

“…This approach relates to the problem of model selection. We suggested the use of a model selection procedure based on that described by Dray et al [49] and Roux et al [51]. For each buffer size, a principal component analysis (PCA) was performed on environmental variables.…”

Section: Methodsmentioning

confidence: 99%

Studying relationships between environment and malaria incidence in Camopi (French Guiana) through the objective selection of buffer-based landscape characterisations

et al. 2011

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BackgroundMalaria remains a major health problem in French Guiana, with a mean of 3800 cases each year. A previous study in Camopi, an Amerindian village on the Oyapock River, highlighted the major contribution of environmental features to the incidence of malaria attacks. We propose a method for the objective selection of the best multivariate peridomestic landscape characterisation that maximises the chances of identifying relationships between environmental features and malaria incidence, statistically significant and meaningful from an epidemiological point of view.MethodsA land-cover map, the hydrological network and the geolocalised inhabited houses were used to characterise the peridomestic landscape in eleven discoid buffers with radii of 50, 100, 200, 300, 400, 500, 600, 700, 800, 900 and 1000 metres. Buffer-based landscape characterisations were first compared in terms of their capacity to discriminate between sites within the geographic space and of their effective multidimensionality in variable space. The Akaike information criterion (AIC) was then used to select the landscape model best explaining the incidences of P. vivax and P. falciparum malaria. Finally, we calculated Pearson correlation coefficients for the relationships between environmental variables and malaria incidence, by species, for the more relevant buffers.ResultsThe optimal buffers for environmental characterisation had radii of 100 m around houses for P. vivax and 400 m around houses for P. falciparum. The incidence of P. falciparum malaria seemed to be more strongly linked to environmental features than that of P. vivax malaria, within these buffers. The incidence of P. falciparum malaria in children was strongly correlated with proportions of bare soil (r = -0.69), land under high vegetation (r = 0.68) and primary forest (r = 0.54), landscape division (r = 0.48) and the number of inhabited houses (r = -0.60). The incidence of P. vivax malaria was associated only with landscape division (r = 0.49).ConclusionsThe proposed methodology provides a simple and general framework for objective characterisation of the landscape to account for field observations. The use of this method enabled us to identify different optimal observation horizons around houses, depending on the Plasmodium species considered, and to demonstrate significant correlations between environmental features and the incidence of malaria.

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Spatial patterns and eco-epidemiological systems – part I: multi-scale spatial modelling of the occurrence of Chagas disease insect vectors

Cited by 11 publications

References 17 publications

2 nd Brazilian Consensus on Chagas Disease, 2015

2 nd Brazilian Consensus on Chagas Disease, 2015

II Consenso Brasileiro em Doença de Chagas, 2015

Studying relationships between environment and malaria incidence in Camopi (French Guiana) through the objective selection of buffer-based landscape characterisations

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