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

Résumé : After a period of rapid development of the sites (an increase in both reared surface area and production), tropical shrimp aquaculture is currently being faced with critical problems due to economical and ecological constraints. In many countries with favourable conditions for shrimp aquaculture such as indonesia or Vietnam, sites are often badly selected and/or over-exploited. This conducts to sorne extent to decreases or collapses in the production due to the difficulty in predicting the maximum production capacity of the sites. Furthermore, it appears that production sustainability depends on many factors among which socio-economy and ecolo gy are of prime importance. The STD3 project titled « Assessment of tropical shrimp aquaculture impact on the environment in tropical countries using hydrobiology, ecology and remote sensing as helping tools for diagnosis )) was initiated in 1994, with the aim to study the sustainability of marine shrimp aquaculture in tropical areas, main! y Indonesia and Vietnam, through the following tasks: (i) improve site selection and study the impact of aquaculture on marine environments presenting a variable sensitivity to organic sewage, (ii) analyse the socio-economical aspects and profitability of the aquaculture industry and of common resources (iii) use remote sensing and geographical data bases for diagnosis and monitoring of site degradation (iv) reinforce the capacity of Asian scientists through training. Severa! aquaculture sites have been investigated in the Lampung region (South Sumatra, Indonesia), the Mekong delta (Vietnam) and on the West coast of New-Caledonia, providing a large range of typical ecosystems encountered in Asia and in the Pacifie, from coralline sites to coastal plains with mangrove and deltaic areas. The study concerned the spatial structure and seasonal influence of these ecosystems, the temporal variation during the course of the project (3 years) and the relation between the ecological structure and farm productions. Remote sensing provides a synoptic vision over large land expanses. Severa! scenes were processed for landuse mapping using conventional classification techniques. Concerning water quality assessment, a general relation for the Java sea was found between image and field data in terms of total suspended matter. Applying this relation to a new site in Sumatra has provided an initial approach to water type and, together with land use mapping, a preliminary assessment of the suitability of the area to shrimp aquaculture development. Socio-economic research has been focused on the identification ofneeds for collective action, including public policy, in the perspective of shrimp farming sustainability. The main concern is in the regulation of shrimp farming intensification and extensification at the scale of coastal ecosystemic entities in a common property resource management perspective. The common considered here is coastal water quality. Comparing the local development profiles and the institutional grounds for the design and implementation of collective management rules shows that variables such as land tenure system, farm owner socio-economic profile, social homogeneity or heterogeneity of the farmers are key factors to analyse the potential for sustainability. The defmition of water quality and the possible means to ensure its collective management are discussed. The main conclusion is that the economie incentives to farming development are strong but there is no significant difference among traditional, semi-intensive and intensive systems in terms of economie efficiency or wealth distribution. The description of the functioning of the different kinds of ecosystems make it possible to give an advice concerning the positioning of the activity inside the ecosystem, and furthermore to have a reference state in order to determine the impact of the activity on the coastal environnement. This impact can be summarized as an increase in the concentration of total suspended matt€?r, of particulate organic matter and of sulfate reducing bacterias. This organic ma~.er is either issued from rearing activities or from telluric origine, due to mangrove eradication when building the ponds. An evaluation of the relationship existing between productivity and characteristics of each ecosystem bas been conducted by correlating ecological indicators data (concentration of total suspended matter, particulate organic matter, chlorophyll, percentage of pheopigments in total pigments and cyanobacteria and sulfatereducing bacteria in water and sediments) with the average production of the farms. This comparison lead to the compilation of a scale of observed production integrating the range of these environmental parameters with shrimp production levels, bound to facilitate the positioning of shrimp farming in relation with the confmement leve! of each ecosystem. Lastly, ali geographie data originated from the various compartments of the study have been geo-referenced and loaded into a geographical information system. This allows to display any query made on spatial variables and their related statistical data, including the ir variations over the last few years and to reveal patterns and phenomena otherwise not obvious.
Le programme mis en oeuvre par la DRV (Paris, CREMA-L'Houmeau, DELIAO Brest, COP Tahiti, GIE/RA Nouvelle Calédonie), dans le cadre d'un projet européen STD3 «(Sciences et Technique au Service du Développement», en collaboration avec l'Université de Montpellier II, l'Ecole Nationale d'Agronomie de Rennes, l'ITC (Hollande), l'Institut Océanographique de Nha Trang (Vietnam), le BADC de Jepara et le BPPT de Jakarta (Indonésie), avait pour but la mise au point de méthodes permettant d'améliorer la sélection des sites ainsi que le suivi du développement et de l'impact de l'aquaculture des crevettes Péneides en milieu tropical pour éviter la surexploitation. Quatre axes de recherche ont été défmis : a) identifier la nature et quantifier les rejets de déchets issus de ce type d'aquaculture, b) définir les caractéristiques écologiques des écosystèmes susceptibles d'accueillir l'activité aquacole et suivre leur évolution sous l'influence des rejets, c) déterminer l'influence de la gestion des fermes et des ressources (aspects économiques) sur les performances de productivité, d) déterminer la capacité de la télédétection comme outil de diagnostic d'impact à l'échelle de la région, e) mener un programme de formation d'étudiants et jeunes chercheurs Vietnamiens et Indonésiens.

Droits : 1998 Ifremer
http://archimer.ifremer.fr/doc/00132/24357/22357.pdf
http://archimer.ifremer.fr/doc/00132/24357/

Éditeur(s) : HAL CCSD
Résumé : International audience
Geographic Information Systems (GIS) help addressing geographical and environmental issues by providing information about a region or a city as a set of maps (layers), each one displaying information about a given theme like roads, vegetation, tourist spots or museums for instance. By combining different layers on a region, one can associate a given area to characteristics from their related themes. Indeed, the information from two or more layers might be merged and then transformed into a new layer as defined in map "algebra". When a theme vocabulary is organized as a taxonomy with concepts linked by is-a relationships, there are different ways to annotate an area with a concept depending on the level selected into the layer taxonomy. In this paper, we present an heuristic- based approach for an optimal merging of such layers in a GIS. Our goal is to generate new layers which sum up information from several themes in a most useful way. Two optimization criteria are considered, the average size of resulting areas and the average informative value of their resulting annotation. We demonstrate the validity of the proposed solution, firstly, on a formal example, and then, on a real world application.
Proceedings of the 4th International Conference on Advanced Geographic Information Systems, Applications, and Services
Valencia, Spain

hal-00679555
https://hal.archives-ouvertes.fr/hal-00679555

Éditeur(s) : HAL CCSD IRD
Résumé : International audience
The number of satellites and remote sensing sensors devoted to earth observation becomes increasingly high, providing more and more data and especially images. In the same time the access to such a data and to the tools to process them has been considerably improved. In the presence of such data flow - and regarding the necessity to follow up and predict environmental and societal changes in highly dynamic socio-environmental contexts - we need automatic image interpretation methods. This could be accomplished by exploring some strengths of artificial intelligence. Our main idea consists in inducing classification rules that explicitly take into account structural knowledge, using Aleph, an Inductive Logic Programming (ILP) system. We applied our proposed methodology to three land cover/use maps of the French Guiana littoral. One hundred and forty six classification rules were induced for the 39 land-cover classes of the maps. These rules are expressed in first order logic language which make them intelligible and interpretable by non-experts. A ten-fold cross validation gave average values for classification accuracy, specificity and sensibility equal to, respectively, 98.82 %, 99.65% and 70%. The proposed methodology could be valuably exploited to automatically classify new objects and/or help operators using object-based classification procedures.
Symposium of the Latin American Society for Remote Sensing and Spatial Information Systems (SELPER)
Cayenne, French Guiana

ird-00797337
http://hal.ird.fr/ird-00797337
http://hal.ird.fr/ird-00797337/document
http://hal.ird.fr/ird-00797337/file/Bayoudh_et_al_2012_FP_SELPER-086.pdf
IRD : fdi:010058343

Éditeur(s) : HAL CCSD Elsevier
Résumé : International audience
The cyanobacteria-derived neurotoxin β-methylamino-l-alanine (BMAA) represents a plausible environmental trigger for amyotrophic lateral sclerosis (ALS), a debilitating and fatal neuromuscular disease. With the eutrophication of water bodies, cyanobacterial blooms and their toxins are becoming increasingly prevalent in France, especially in the Brittany region. Cyanobacteria are monitored at only a few recreational sites, preventing an estimation of exposure of the human population. By contrast, phosphorus, a limiting nutrient for cyanobacterial growth and thus considered a good proxy for cyanobacteria exposure, is monitored in many but not all surface water bodies. Our goal was to develop a geographic exposure indicator that could be used in epidemiological research. We considered the total phosphorus (TP) concentration (mg/L) of samples collected between October 2007 and September 2012 at 179 monitoring stations distributed throughout the Brittany region. Using readily available spatial data, we computed environmental descriptors at the watershed level with a Geographic Information System. Then, these descriptors were introduced into a backward stepwise linear regression model to predict the median TP concentration in unmonitored surface water bodies. TP concentrations in surface water follow an increasing gradient from West to East and inland to coast. The empirical concentration model included five predictor variables with a fair coefficient of determination (R2 = 0.51). The specific total runoff and the watershed slope correlated negatively with the TP concentrations (p = 0.01 and p < 10− 9, respectively), whereas positive associations were found for the proportion of built-up area, the upstream presence of sewage treatment plants, and the algae volume as indicated by the Landsat red/green reflectance ratio (p < 0.01, p < 10− 6 and p < 0.01, respectively). Complementing the monitoring networks, this geographical modeling can help estimate TP concentrations at the watershed level, delivering a proxy for cyanobacteria exposure that can be used along with other risk factors in further ALS epidemiologic case–control studies
ISSN: 0160-4120

hal-01175538
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01175538
DOI : 10.1016/j.envint.2015.04.007
PUBMED : 25913322

Éditeur(s) : Elsevier Science Bv
Résumé : Estuaries and coastal waters are essential nursery habitats for many marine species, and especially for flatfishes. Thus, investigating how anthropogenic disturbances affect the quality of these habitats is of major importance to understand their consequences on the population renewal of marine species. The aim of the present study was to analyse the effects of estuarine habitat degradation on the population of the common sole in the Eastern Channel, a key species in the fish community and fisheries in this area. We especially focused on the drastic drop in the surface area and on the low water quality of the Seine estuary, the main river of the Eastern Channel. A geographic Information System (GIS) was used to develop quantitative maps of sole nursery habitats in the Eastern Channel by using a habitat suitability model based on bathymetry and sediment structure. This approach indicated that juvenile densities are low in the Seine estuary with regards to other nursery sectors. Then, thanks to historical maps of the Seine estuary, habitat suitability maps were built for key dates in the modifications of this estuary since 1850. This backward predictive approach suggests that habitat loss in the Seine estuary has led to a 42% decrease of its nursery capacity. As the density of juvenile sole in the Seine estuary is low in comparison to other sectors, this represents only a 3% loss at the sole population scale, in the Eastern Channel. However, when we assumed that prior to anthropogenic disturbance the juvenile density in the Seine estuary might have been equivalent to the current density of adjacent sectors with higher quality, the loss in abundance could be nearly 23% (8-36%). Results suggest that the loss in habitat surface combined with habitat degradation has led to an important loss in the contribution of the Seine estuary nursery to the whole sole population in the Eastern Channel. (C) 2009 Elsevier BM. All rights reserved.
Journal Of Sea Research (1385-1101) (Elsevier Science Bv), 2010-07 , Vol. 64 , N. 1-2 , P. 34-44

Droits : 2009 Elsevier B.V. All rights reserved.
http://archimer.ifremer.fr/doc/00008/11921/9799.pdf
DOI:10.1016/j.seares.2009.08.003
http://archimer.ifremer.fr/doc/00008/11921/

Éditeur(s) : HAL CCSD Armand Colin
Résumé : International audience
Located in the heart of the Maritimes in Southeast New Brunswick, Moncton has the highest concentration of Acadians in any urban setting in Canada. Over the years, Acadians have increasingly become part of the New Brunswick society. They have greatly contributed to Moncton's development through the creation of genuine Acadian institutions in the educational and financial sectors, which, as a result, have modified the spatio-linguistic configuration and the cultural identity of the place. This new reality has been the object of a series of spatiotemporal analyses using the Geographic Information System (GIS); they show that the dynamics of the Francophone and Anglophone populations in the agglomeration's different sectors lead to the creation of some isolated linguistic groupings. And that unlike the situation in other regions of New Brunswick, the assimilation process of the French-speaking Acadians into the Anglophone majority has slowed down in the Greater Moncton over the course of thelast few years. These transformations point out to the crucial role of the Universite de Moncton as an educational, cultural and even political nexus for the Acadians in the Greater Moncton, as well as in the Maritime provinces in general.
Située au cœur des Maritimes, dans le sud-est du Nouveau-Brunswick, l'agglomération du Grand Moncton est la région urbaine canadienne qui présente la plus forte concentration d'Acadiens français. Au fil des années, ces derniers furent plus présents dans la société néo-brunswickoise contribuant grandement au développement de Moncton à travers la création d'institutions acadiennes dans le domaine de l'éducation et des services financiers. Les transformations dues à l'émergence d'une influence acadienne modifient la configuration géographique et l'identité culturelle de l'espace en question. Cette réalité apparente fait l'objet d'une série d'analyses spatio-temporelles à l'aide des Systèmes d'Information Géographique (SIG); ces analyses montrent d'abord que la dynamique des populations francophone et anglophone a tendance à créer certains îlots linguistiques tandis que ralentit le processus généralisé d'assimilation des Acadiens à la majorité anglophone dans l'agglomération du Grand Moncton. Ces transformations mettent en évidence le rôle de l'Université de Moncton comme centre d'attraction éducationnel, culturel et même politique pour les Acadiens de Moncton en particulier et des Provinces maritimes en général.
ISSN: 0003-4010

hal-01413577
https://hal.univ-antilles.fr/hal-01413577
https://hal.univ-antilles.fr/hal-01413577/document
https://hal.univ-antilles.fr/hal-01413577/file/2002%20Transformation%20marquante.pdf
DOI : 10.3406/geo.2002.1659

Éditeur(s) : HAL CCSD Société nationale de protection de la nature
Résumé : International audience
The island of Moorea in French Polynesia is representative of a relatively well preserved small tropical oceanic island but both its terrestrial and marine ecosystems are currently under strong anthropogenic pressures. The terrestrial ecosystems are facing an increasing urbanization, and the destruction and modification of their natural habitats by cultivation and forestry plantations, accidental or intentional fires, and particularly by the invasion of alien plant and animal species. Coastal areas and reef ecosystems are threatened by shoreline artificialization, sedimentation due to soil erosion, increasing uses of marine and lagoon resources and frequency of coral bleaching events. A significant erosion of terrestrial and marine biodiversity is observed on the island since the last decades. In the context of the Land Management Plan (PGA) and Marine Area Management Plan (PGEM) recently set up in the island by local authorities, scientific surveys and inventories were made in 2006 in order to assess the status of terrestrial biodiversity (vascular plants) and marine biodiversity (reef fishes) and compare areas with different anthropogenic pressures. Studies conducted on the flora and the vegetation at low and middle elevation along altitudinal transects show that the plant invasion process is related to climatic and topographic factors, and species autoecology. The marine study aims to compare the protected areas with control areas in order to test the effectiveness of protection measures and to propose a streamlined monitoring protocol. A methodological study in both terrestrial and marine ecosystems was conducted in order to propose biodiversity indicators which are crucial for decision making in conservation and sustainable development of island biodiversity. We used Geographic Information System (GIS) as a fast and intuitive tool for mapping indicators and their variability. This methodological approach developed on the island of Moorea could be used as a model for other tropical islands
Moorea est une petite île océanique tropicale de la Polynésie française relativement bien préservée, mais dont les écosystèmes terrestres et marins sont actuellement soumis à de fortes pressions anthropiques. Le milieu terrestre est confronté à une urbanisation croissante, à la destruction ou à la modification des habitats naturels pour l’extension des cultures ou des plantations forestières, aux incendies volontaires ou accidentels, et particulièrement à l’invasion d’espèces végétales et animales introduites. Les zones côtières et les récifs coralliens sont menacés par de multiples perturbations telles que l’artificialisation des lignes de rivage, l’apport de sédiments dus à l’érosion des sols, l’augmentation des usages des ressources marines et lagonaires et de la fréquence des phénomènes de blanchissement du corail. Une érosion sensible de la biodiversité terrestre et marine de l’île est observée depuis les dernières décennies. Dans le cadre du Plan Général d’Aménagement (PGA) et du Plan de Gestion de l’Espace Maritime (PGEM) mis en place par les autorités locales, des inventaires scientifiques ont été réalisés en 2006 dans le but d’évaluer l’état de la biodiversité terrestre (plantes vasculaires) et marine (poissons récifaux) et de comparer des zones soumises à différentes perturbations. Les études réalisées sur la flore et la végétation de basse et moyenne altitude le long de transects altitudinaux montrent des processus d’invasion végétale différents en relation avec les facteurs climatiques, topographiques et autoécologiques des espèces. Les études en milieu marin visent à comparer des aires protégées à des aires témoins afin de suivre l’efficacité des mesures de gestion. La réflexion méthodologique menée parallèlement sur les deux écosystèmes a pour but d’illustrer différents indices de biodiversité nécessaires à la prise de décision en matière de conservation ou de développement durable de la biodiversité insulaire et de réaliser un état de référence pour établir un diagnostic sur l’état de la biodiversité. La représentation cartographique des indices à l’aide d’un SIG, illustrée dans cette étude avec la richesse spécifique terrestre et marine, permet une lecture intuitive et rapide de la variabilité de cet indice dont la restitution est basée sur une standardisation du nombre d’espèces. Cette approche méthodologique développée sur l’île de Moorea pourrait servir de modèle pour d’autres îles tropicales
EISSN: 2429-6422

hal-01306285
https://hal-univ-perp.archives-ouvertes.fr/hal-01306285

Résumé : La tuberculose (TB), maladie infectieuse contagieuse, est causée par une mycobactérie appartenant au complexe Mycobacterium tuberculosis (MTBC). Malgré de nombreuses campagnes de vaccination par le BCG (Bacilles de Calmette et Guérin) et les traitements antituberculeux, on observe une réémergence de la maladie depuis les années 80. Ce bouleversement s’explique par la coïnfection avec le virus du VIH/SIDA, la désorganisation des systèmes de santé et par l’apparition des bactéries résistantes aux principaux antibiotiques antituberculeux. Dans ce contexte une meilleure connaissance des mouvements et de l’évolution des clones circulants du bacille tuberculeux permettrait de détecter plus rapidement et de façon plus pertinente l’émergence d’épidémies. Le contrôle et la surveillance de la maladie représentent des moyens essentiels pour lutter contre l’expansion mondiale de la tuberculose. C’est ainsi que l’unité de la Tuberculose et des Mycobactéries de l’Institut Pasteur de la Guadeloupe (IPG) a mis en place une base de données de profils génotypiques pour l’étude de l’épidémiologie globale de la tuberculose. Dans le cadre de cette thèse, nous décrirons les méthodes de bioinformatique qui ont été utilisées pour la gestion et l’exploitation de la 6ème version (SITVIT2) de cette base de données des génotypes pour mieux comprendre l’évolution et la dissémination mondiale du bacille tuberculeux. Cette base intègre aussi plusieurs marqueurs moléculaires tels que les MIRU-VNTRs (« mycobacterial interspersed repetitive units-variable number of tandem repeats ») et le Spoligotype43 servant à mieux décrire et identifier les familles de profils génotypiques du MTBC. La banque de données SITVIT2 ne cesse d’évoluer, et elle contient actuellement des informations épidémiologiques sur 111 635 isolats cliniques. Cette base de données est consultable en ligne à l’adresse suivante : http://www.pasteur-guadeloupe.fr:8081/SITVIT2/. Nous avons également réalisé une base de données nommée SITVITBovis qui est dédiée à la tuberculose bovine. Cette base de données sera accessible à l’adresse : http://www.pasteur-guadeloupe.fr:8081/SITVIT_Bovis/. Parallèlement au développement et à la gestion des bases de données, ce travail de thèse s’est appuyé sur plusieurs études épidémiologiques et phylogéographiques mettant en corrélation les données disponibles sur la résistance aux médicaments ou les caractéristiques démographiques (dont le sexe, l’âge, le statut VIH, et l’origine du patient). Notre initiative de recherche permet ainsi d’améliorer la caractérisation phylogénétique détaillée des lignées du MTBC, ainsi que l’épidémiologie des clones en circulation, afin d’élaborer une cartographie géographique des isolats cliniques prédominants pour les bacilles tuberculeux principalement impliqués dans la maladie, à l’échelle nationale, régionale et mondiale. La superposition ultérieure de ces cartes avec des données sociopolitiques, économiques et démographiques obtenues auprès de Systèmes d’information géographique (SIG) ont permis de dresser un portrait précis des disparités actuelles par pays ou sous-région. Cette thèse représente une importante collaboration avec plusieurs équipes de chercheurs travaillant également dans le domaine de l’épidémiologie moléculaire de la tuberculose. L’objectif à long terme de ce travail, est d’optimiser la structure de la base, et de pérenniser l’enrichissement de celle-ci (notamment par l’automatisation et la facilité de la saisie de données). Une représentation optimale et une meilleure accessibilité des données de la base conforteraient les efforts faits pour le contrôle et la surveillance de la TB dans monde.
Tuberculosis (TB) is a contagious infectious disease caused by mycobacteria belonging to the Mycobacterium tuberculosis complex (MTBC). Despite numerous campaigns of vaccination by the BCG (Bacillus Calmette-Guérin) vaccine, and TB treatments, there was a resurgence of the disease since the 80s. This disruption is due to coinfection with HIV/AIDS, disorganization of health systems and the emergence of bacteria resistant to anti-TB drugs. In this context, a better understanding of the movements and changes of circulating clones of tubercle bacilli would detect faster and more relevant emerging epidemics. The control and monitoring of the disease are essential means to fight against the worldwide spread of tuberculosis. Thus the TB and Mycobacteria unit of the Pasteur Institute of Guadeloupe (IPG) has developed a database of genotypic profiles for the study of global epidemiology of tuberculosis.In this thesis, we discuss the Bioinformatical methods that have been used for the management and development of the 6th version (SITVIT2) of this database of genotypes to better understand the evolution and global dissemination of the tubercle bacillus. The database also includes several molecular markers such as MIRU-VNTRs (mycobacterial interspersed repetitive units- variable number of tandem repeats) and Spoligotype43 allowing a better description and identification of the families of genotypic profiles of Mycobacterium tuberculosis complex. SITVIT2 database is constantly evolving, and it currently contains epidemiological information on 111,635 clinical isolates. This database is available online at the following address: http://www.pasteur-guadeloupe.fr:8081/SITVIT2/. We also developed a database named "SITVITBovis", which is dedicated to bovine tuberculosis. This database will be accessible at: http://www.pasteur-guadeloupe.fr:8081/SITVIT_Bovis/.Alongside the development and management of databases, this work was based on several epidemiological and phylogeographic studies correlating data on drug resistance or demographic characteristics (including sex, age, HIV status, and the origin of the patient). Our research initiative is thus focused to further improve in depth phylogenetic characterization of MTBC lineages, as well as the epidemiological analysis of circulating clones to generate evidence-based geographical mapping of predominant clinical isolates of tubercle bacilli causing the bulk of the disease both at country and regional level. Further superposition of these maps with socio-political, economical and demographical available through Geographic Information Systems (GIS) allows to have a precise view of prevailing disparities at the level of country or sub-region. This thesis represents an important collaboration with several researchers teams also working in the field of molecular epidemiology of tuberculosis.The long-term goal of this work is to further optimize the database structure, and sustain enriching it (including automation and ease of data entry). Optimum performance and accessibility of data in the database would reinforce efforts to control and surveillance of TB in the world.

http://www.theses.fr/2014AGUY0791/document

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

Éditeur(s) : HAL CCSD BioMed Central
Résumé : International audience
Background: An environmental health inequality is a major public health concern in Europe. However just few studies take into account a large set of characteristics to analyze this problematic. The aim of this study was to identify and describe how socioeconomic, health accessibility and exposure factors accumulate and interact in small areas in a French urban context, to assess environmental health inequalities related to infant and neonatal mortality.Methods: Environmental indicators on deprivation index, proximity to high-traffic roads, green space, and healthcare accessibility were created using the Geographical Information System. Cases were collected from death certificates in the city hall of each municipality in the Nice metropolitan area. Using the parental addresses, cases were geocoded to their census block of residence. A classification using a Multiple Component Analysis following by a Hierarchical Clustering allow us to characterize the census blocks in terms of level of socioeconomic, environmental and accessibility to healthcare, which are very diverse definition by nature. Relation between infant and neonatal mortality rate and the three environmental patterns which categorize the census blocks after the classification was performed using a standard Poisson regression model for count data after checking the assumption of dispersion.Results: Based on geographic indicators, three environmental patterns were identified. We found environmental inequalities and social health inequalities in Nice metropolitan area. Moreover these inequalities are counterbalance by the close proximity of deprived census blocks to healthcare facilities related to mother and newborn. So therefore we demonstrate no environmental health inequalities related to infant and neonatal mortality.Conclusion: Examination of patterns of social, environmental and in relation with healthcare access is useful to identify census blocks with needs and their effects on health. Similar analyzes could be implemented and considered in other cities or related to other birth outcomes.
ISSN: 1476-069X

halshs-01366285
https://halshs.archives-ouvertes.fr/halshs-01366285
https://halshs.archives-ouvertes.fr/halshs-01366285/document
https://halshs.archives-ouvertes.fr/halshs-01366285/file/art_10.1186_s12940-016-0163-7.pdf
PUBMED : 27449640