Anàlisi bàsic de rutes òptimes a zones de catàstrofe

L'objectiu del projecte és desenvolupar un Sistema d'Informació Geogràfica (SIG) d'ús senzill, amb la finalitat de generar cartografia actualitzada de manera gairebé instantània que serveixi de recolzament a l'ajuda internacional desplegada en un país després d'una catàstrofe natural. La cartografia serà d'Haití, com a exemple de zona afectada per un terratrèmol. Amb el SIG els equips d'emergència podran indicar aquelles vies tallades, per poder tenir cartografia actualitzada. Igualment podran indicar un punt origen i un punt destí i el SIG els indicarà la ruta més curta, tenint en compte les carreteres tallades. El programari utilitzat per desenvolupar el projecte és GeoMedia Professional, Microsoft Access i Microsoft Visual Studio .NET. S'ha generat cartografia d'Haití en format vectorial.

Projecte HAITí SIG : anàlisi bàsic de rutes òptimes a zones de catàstrofe

Els Sistemes d'Informació Geogràfica s'han convertit en quelcom molt important en els darrers temps gràcies al desenvolupament de les tecnologies sobre les que es recolzen. Aquest projecte tracta sobre ells, i ho fa des de dos vessats: el teòric i el pràctic. En la part teòrica del projecte es farà una revisió del que són per a què serveixen els Sistemes d'Informació Geogràfica. Per a entendre'ls amb més garanties es tracten lleugerament alguns conceptes genèrics sobre geodèsia i cartografia. La part pràctica del projecte descriu de quina forma s'ha creat un Sistema d'Informació Geogràfica que permet el tractament de dades d'Haití i que facilita la creació de mapes diversos. Addicionalment, per a veure una utilitat real del que es pot fer amb ells, es descriu també de quina forma s'ha dissenyat una aplicació que permet realitzar el càlcul de rutes òptimes entre dos punts, partint com a base de la xarxa de carreteres d'Haití. Per a finalitzar, es descriu de quina manera s'ha implementat un control de trams de carretera intransitables, els quals no seran considerats en el càlcul de les rutes.

Análisis ráster de rutas de mínimo coste conGeomedia® PRO

Concretament, l'objectiu principal d'aquest projecte és el de construir un sistema de Informació Geogràfic que permeti l'anàlisi de les diferents rutes i camins existents entre Tarraco (Tarragona) i St Bertrand de Comminges (França) passant per Ilerda (Lleida) amb l'objectiu de trobar el camí de mínim cost travessant els Pirineus.

Cobertura sanitaria en zonas de catástrofes

El objetivo de este trabajo es conseguir crear un Sistemas de Información Geográfica (SIG), adquiriendo por el camino todos los conocimientos necesarios para su realización. Este trabajo está estructuradoen 4 partes bien diferenciadas.

Modelling habitat-suitability using museum collections: an example with three sympatric Apodemus species from the Alps

Aim, Location Although the alpine mouse Apodemus alpicola has been given species status since 1989, no distribution map has ever been constructed for this endemic alpine rodent in Switzerland. Based on redetermined museum material and using the Ecological-Niche Factor Analysis (ENFA), habitat-suitability maps were computed for A. alpicola, and also for the co-occurring A. flavicollis and A. sylvaticus. Methods In the particular case of habitat suitability models, classical approaches (GLMs, GAMs, discriminant analysis, etc.) generally require presence and absence data. The presence records provided by museums can clearly give useful information about species distribution and ecology and have already been used for knowledge-based mapping. In this paper, we apply the ENFA which requires only presence data, to build a habitat-suitability map of three species of Apodemus on the basis of museum skull collections. Results Interspecific niche comparisons showed that A. alpicola is very specialized concerning habitat selection, meaning that its habitat differs unequivocally from the average conditions in Switzerland, while both A. flavicollis and A. sylvaticus could be considered as 'generalists' in the study area. Main conclusions Although an adequate sampling design is the best way to collect ecological data for predictive modelling, this is a time and money consuming process and there are cases where time is simply not available, as for instance with endangered species conservation. On the other hand, museums, herbariums and other similar institutions are treasuring huge presence data sets. By applying the ENFA to such data it is possible to rapidly construct a habitat suitability model. The ENFA method not only provides two key measurements regarding the niche of a species (i.e. marginality and specialization), but also has ecological meaning, and allows the scientist to compare directly the niches of different species.

Atlas interactivo de mortalidad de Andalucía (AIMA)

Until now, mortality atlases have been static. Most of them describe the geographical distribution of mortality using count data aggregated over time and standardized mortality rates. However, this methodology has several limitations. Count data aggregated over time produce a bias in the estimation of death rates. Moreover, this practice difficult the study of temporal changes in geographical distribution of mortality. On the other hand, using standardized mortality hamper to check differences in mortality among groups. The Interactive Mortality Atlas in Andalusia (AIMA) is an alternative to conventional static atlases. It is a dynamic Geographical Information System that allows visualizing in web-site more than 12.000 maps and 338.00 graphics related to the spatio-temporal distribution of the main death causes in Andalusia by age and sex groups from 1981. The objective of this paper is to describe the methods used for AIMA development, to show technical specifications and to present their interactivity. The system is available from the link products in www.demap.es. AIMA is the first interactive GIS that have been developed in Spain with these characteristics. Spatio-temporal Hierarchical Bayesian Models were used for statistical data analysis. The results were integrated into web-site using a PHP environment and a dynamic cartography in Flash. Thematic maps in AIMA demonstrate that the geographical distribution of mortality is dynamic, with differences among year, age and sex groups. The information nowadays provided by AIMA and the future updating will contribute to reflect on the past, the present and the future of population health in Andalusia.

Evaluation of a linear spectral mixture model and vegetation indices (NDVI and EVI) in a study of schistosomiasis mansoni and Biomphalaria glabrata distribution in the state of Minas Gerais, Brazil

This paper analyses the associations between Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) on the prevalence of schistosomiasis and the presence of Biomphalaria glabrata in the state of Minas Gerais (MG), Brazil. Additionally, vegetation, soil and shade fraction images were created using a Linear Spectral Mixture Model (LSMM) from the blue, red and infrared channels of the Moderate Resolution Imaging Spectroradiometer spaceborne sensor and the relationship between these images and the prevalence of schistosomiasis and the presence of B. glabrata was analysed. First, we found a high correlation between the vegetation fraction image and EVI and second, a high correlation between soil fraction image and NDVI. The results also indicate that there was a positive correlation between prevalence and the vegetation fraction image (July 2002), a negative correlation between prevalence and the soil fraction image (July 2002) and a positive correlation between B. glabrata and the shade fraction image (July 2002). This paper demonstrates that the LSMM variables can be used as a substitute for the standard vegetation indices (EVI and NDVI) to determine and delimit risk areas for B. glabrata and schistosomiasis in MG, which can be used to improve the allocation of resources for disease control.

A geoprocessing approach for studying and controlling schistosomiasis in the state of Minas Gerais, Brazil

Geographical information systems (GIS) are tools that have been recently tested for improving our understanding of the spatial distribution of disease. The objective of this paper was to further develop the GIS technology to model and control schistosomiasis using environmental, social, biological and remote-sensing variables. A final regression model (R² = 0.39) was established, after a variable selection phase, with a set of spatial variables including the presence or absence of Biomphalaria glabrata, winter enhanced vegetation index, summer minimum temperature and percentage of houses with water coming from a spring or well. A regional model was also developed by splitting the state of Minas Gerais (MG) into four regions and establishing a linear regression model for each of the four regions: 1 (R² = 0.97), 2 (R² = 0.60), 3 (R² = 0.63) and 4 (R² = 0.76). Based on these models, a schistosomiasis risk map was built for MG. In this paper, geostatistics was also used to make inferences about the presence of Biomphalaria spp. The result was a map of species and risk areas. The obtained risk map permits the association of uncertainties, which can be used to qualify the inferences and it can be thought of as an auxiliary tool for public health strategies.

The Estrada Real project and endemic diseases: the case of schistosomiasis, geoprocessing and tourism

Geographical Information System (GIS) is a tool that has recently been applied to better understand spatial disease distributions. Using meteorological, social, sanitation, mollusc distribution data and remote sensing variables, this study aimed to further develop the GIS technology by creating a model for the spatial distribution of schistosomiasis and to apply this model to an area with rural tourism in the Brazilian state of Minas Gerais (MG). The Estrada Real, covering about 1,400 km, is the largest and most important Brazilian tourism project, involving 163 cities in MG with different schistosomiasis prevalence rates. The model with three variables showed a R² = 0.34, with a standard deviation of risk estimated adequate for public health needs. The main variables selected for modelling were summer vegetation, summer minimal temperature and winter minimal temperature. The results confirmed the importance of Remote Sensing data and the valuable contribution of GIS in identifying priority areas for intervention in tourism regions which are endemic to schistosomiasis.

Spatial distribution of Schistosoma mansoni infection before and after chemotherapy with two praziquantel doses in a community of Pernambuco, Brazil

Praziquantel chemotherapy has been the focus of the Schistosomiasis Control Program in Brazil for the past two decades. Nevertheless, information on the impact of selective chemotherapy against Schistosoma mansoni infection under the conditions confronted by the health teams in endemic municipalities remains scarce. This paper compares the spatial pattern of infection before and after treatment with either a 40 mg/kg or 60 mg/kg dose of praziquantel by determining the intensity of spatial cluster among patients at 180 and 360 days after treatment. The spatial-temporal distribution of egg-positive patients was analysed in a Geographic Information System using the kernel smoothing technique. While all patients became egg-negative after 21 days, 17.9% and 30.9% reverted to an egg-positive condition after 180 and 360 days, respectively. Both the prevalence and intensity of infection after treatment were significantly lower in the 60 mg/kg than in the 40 mg/kg treatment group. The higher intensity of the kernel in the 40 mg/kg group compared to the 60 mg/kg group, at both 180 and 360 days, reflects the higher number of reverted cases in the lower dose group. Auxiliary, preventive measures to control transmission should be integrated with chemotherapy to achieve a more enduring impact.

Map of ecological networks for landscape planning

This paper presents a method based on a geographical information system (GIS) to model ecological networks in a fragmented landscape. The ecological networks are generated with the help of a landscape model (which integrate human activities) and with a wildlife dispersal model. The main results are maps which permit the analysis and the understanding of the impact of human activities on wildlife dispersal. Three applications in a study area are presented: ecological networks at the landscape scale, conflicting areas at the farmstead scale and ecological distance between biotopes. These applications show the flexibility of the model and its potential to give information on ecological networks at different planning scales.

Cluster recognition in spatial-temporal sequences: The case of forest fires

Forest fire sequences can be modelled as a stochastic point process where events are characterized by their spatial locations and occurrence in time. Cluster analysis permits the detection of the space/time pattern distribution of forest fires. These analyses are useful to assist fire-managers in identifying risk areas, implementing preventive measures and conducting strategies for an efficient distribution of the firefighting resources. This paper aims to identify hot spots in forest fire sequences by means of the space-time scan statistics permutation model (STSSP) and a geographical information system (GIS) for data and results visualization. The scan statistical methodology uses a scanning window, which moves across space and time, detecting local excesses of events in specific areas over a certain period of time. Finally, the statistical significance of each cluster is evaluated through Monte Carlo hypothesis testing. The case study is the forest fires registered by the Forest Service in Canton Ticino (Switzerland) from 1969 to 2008. This dataset consists of geo-referenced single events including the location of the ignition points and additional information. The data were aggregated into three sub-periods (considering important preventive legal dispositions) and two main ignition-causes (lightning and anthropogenic causes). Results revealed that forest fire events in Ticino are mainly clustered in the southern region where most of the population is settled. Our analysis uncovered local hot spots arising from extemporaneous arson activities. Results regarding the naturally-caused fires (lightning fires) disclosed two clusters detected in the northern mountainous area.

PigCampa : Portal web de comunicació i col·laboració amb un entorn intranet de gestió del coneixement per a Associacions de Mares i Pares d'Alumnes

Aquest projecte aborda la qüestió d'implementar i implantar un sistema informàtic general i homogeni, que faciliti la gestió del coneixement, per a Associacions de Mares i Pares d'Alumnes (AMPA), des d'una aproximació a la seva modelització organitzacional.

Análisis de incidentes químicos ocurridos en piscinas de España, 2008-2012.

Objective: Compared historical overview and systematic description of the distribution, features and public health implication of incidents occurred in swimming pools associated with exposure to chemicals, during the period 2008-2012 in Spain. Method: Retrospective observational design, using information reported to the digital mass media internetbased. Records of chemical incidents from a database of 5-year were analyzed to categorize main features. We examined the following variables: year, frequency and geographical location of incidents, class of swimming pool, settings lead to the event, causal factors, chemicals released, exposure ways, balance of victims, attending hospital and evacuated people. Results: 41 chemical incidents were identified in 5 years with a balance of 428 victims, 119 in-patient and 1750 people evacuated. Common profile of a chemical incident in a swimming pool was featured as a municipal setting where a release or hazardous chemical leak, mainly chlorine or mixed with acids occurred. An average of 10 exposed people per event, mostly children, exposed by respiratory airway, needed to be attended in hospital or community health center an annual average of 24 people, including bathers, employees or users. Conclusions: Swimming pools display scenarios with chemical risks that must be evaluated. Planning and implementing preventive measures are priority to mitigate a negative impact for public health. Our findings suggest the convenience of the regulation of a coordinated information system for ongoing surveillance of incidents in swimming pools to enable a safe management of chemical hazards.