Éditeur(s) : HAL CCSD BioMed Central
Résumé : International audience
Background: Heterogeneous patterns of malaria transmission are thought to be driven by factors including host genetics, distance to mosquito breeding sites, housing construction, and socio-behavioural characteristics. Evaluation of local transmission epidemiology to characterize malaria risk is essential for planning malaria control and elimination programmes. The use of geographical information systems (GIS) techniques has been a major asset to this approach. To assess time and space distribution of malaria disease in Bandiagara, Mali, within a transmission season, data were used from an ongoing malaria incidence study that enrolled 300 participants aged under six years old ". Methods: Children's households were georeferenced using a handheld global position system. Clinical malaria was defined as a positive blood slide for Plasmodium falciparum asexual stages associated with at least one of the following signs: headache, body aches, fever, chills and weakness. Daily rainfall was measured at the local weather station. Landscape features of Bandiagara were obtained from satellite images and field survey. QGIS™ software was used to map malaria cases, affected and non-affected children, and the number of malaria episodes per child in each block of Bandiagara. Clusters of high or low risk were identified under SaTScan W software according to a Bernoulli model. Results: From June 2009 to May 2010, 296 clinical malaria cases were recorded. Though clearly temporally related to the rains, Plasmodium falciparum occurrence persisted late in the dry season. Two " hot spots " of malaria transmission also found, notably along the Yamé River, characterized by higher than expected numbers of malaria cases, and high numbers of clinical episodes per child. Conversely, the northeastern sector of the town had fewer cases despite its proximity to a large body of standing water which was mosquito habitat. Conclusion: These results confirm the existence of a marked spatial heterogeneity of malaria transmission in Bandiagara, providing support for implementation of targeted interventions. Background Malaria is one of the leading causes of morbidity and mortality in the world, with an estimated 3.3 billion people at risk of malaria [1]. The incidence of malaria worldwide is estimated to be 216 million cases per year, with 81% of these cases occurring in sub-Saharan Africa. Malaria kills approximately 655,000 people per year; 91% of deaths occur in sub-Saharan Africa [1], mostly in children under five years of age. In Mali, West Africa, malaria represents 36.5% of consultation motives in health center, it is a leading cause of morbidity and mortality children of less than five years of age and the first reason of anaemia in pregnant women [2]. Malaria transmission is seasonal. Malaria parasite transmission and clinical disease are characterized by important microgeographic variation, often between adjacent villages, households or families [3-8]. This local heterogeneity is driven by a variety of factors including human genetics [9,10], distance to potential breeding sites [11,12], housing construction
ISSN: 1475-2875

hal-01307672
https://hal-amu.archives-ouvertes.fr/hal-01307672
https://hal-amu.archives-ouvertes.fr/hal-01307672/document
https://hal-amu.archives-ouvertes.fr/hal-01307672/file/1475-2875-12-82.pdf
DOI : 10.1186/1476-072X-2-5

Éditeur(s) : HAL CCSD
Résumé : International audience
The development of transport infrastructures lead to increase the exposure of population to high noise levels. The objective of this work is to define an indicator representative of the health risk induced by noise pollution in urban environment and adapted to the geographical resolution of IRIS. The methodology for the definition of the indicator considers in a first part the health aspect with the health data for the following effects: annoyance, sleep disturbance and cardiovascular diseases. Then, in a second part, methodology considers some effects related to the urban context since the configuration of urban space can change the exposure of population to noise and the perception of noise. The work is achieved with a GIS software and the input acoustical data comes from noise maps calculated for the END. The indicator seems to be relevant and interesting as it brings health information.
InterNoise 2010 Noise and Sustainability
Lisbonne, Portugal

halshs-00664636
https://halshs.archives-ouvertes.fr/halshs-00664636

Éditeur(s) : HAL CCSD Montpellier : CIRAD
Résumé : Les aménagements futurs nécessaires au développement rapide de la Guyane vont entraîner la conversion de terres forestières, participant ainsi au changement global. Les décideurs guyanais devront conjuguer ces aménagements avec la préservation des services écosystémiques forestiers. Le projet GuyaSim avait comme objectif l’approfondissement des connaissances sur ces services (stock de carbone, biodiversité et qualité du sol)et le transfert d’un logiciel aux décideurs pour faciliter l’intégration de ces connaissances dans les politiques d’aménagement du territoire. L’article présente les caractéristiques et les fonctionnalités de ce logiciel GuyaSim. Il s’agit d’un logiciel libre de type Sig, destiné a priori aux services d’aménagement des collectivités et du domaine forestier de Guyane. Le logiciel offre deux grands types de fonctionnalité : la mise à disposition d’informationset l’aide à l’aménagement. Les informations mises à disposition sont les scénarios de développement socio-économique, les scénarios climatiques et les valeurs des services écosystémiques. L’aide à l’aménagement consiste en des outils de construction des scénarios d’aménagement du territoire (changement d’usage des terres) et d’aménagement forestier (exploitation forestière), fournissant des informations sur l’impact environnemental. Les fonctionnalités du logiciel sont limitées par les connaissances sur les écosystèmes guyanais. Les avancées des projets de recherche en cours permettront de mettre à jour le logiciel à moyen terme
ISSN: 0006-579X

hal-01535354
https://hal.archives-ouvertes.fr/hal-01535354
PRODINRA : 351684

Éditeur(s) : HAL CCSD
Résumé : International audience
A geographic information system (GIS) was developed in Martinique, to perform soil zoning for the revival of the production of Coffea arabica var. typica.Pioneer in the cultivation of coffee in the Caribbean since 1720, today Martinique plays no role in the coffee industry. In addition, due to its rarity on the island, the edapho-climatic requirements of Coffea arabica had to be defined based on the world literature. The digital data (isohyets, isotherm, geomorphology) was obtained from Martinique’s institutions with expertise in the production of environmental data (IRD, IGN, Météo- France, DEAL Martinique, CTM)1. These data have been processed with a SIG software: QGIS version 2.8.1. During the investigations, the rainfall represented a factor limiting any possibility of production of Coffea arabica var. typica in the future. By removing the pluviometry from the set of parameters, we can visualize the areas that might be acceptable to this culture. With the forecast of the National Meteorological services for the 2071-2100 period under the new climate requirements, we carried out an agroclimatic zoning which also showed us the impossibility of producing this coffee in the future.
ISSN: 2277-8322

hal-01376447
https://hal.univ-antilles.fr/hal-01376447