This article describes and compares six disaggregation methods used to produce a dasymetric population density grid of the European Union at a 100 m resolution. Population data were initially available at commune level. The main ancillary information source was CORINE land cover, a land cover map distributed by the European Environment Agency. Information from the Eurostat point survey, land use/cover area frame survey, was also integrated in the parameter estimation of some of the approaches tested. Accurate population data for 1 km cell grids were provided by the Statistical Offices Sweden. These data provided the basic reference to quantify the accuracy of each method. The best results were obtained with a modified version of the limiting variable method (Eicher, C. and Brewer, C., 2001. Dasymetric mapping and areal interpolation: implementation and evaluation. Cartography and Geographic Information Science, 28, 125-138) that could be implemented, thanks to the national reference grids. For other methods the parameters could be estimated without using the reference grids; among them a method based on logit regression gave the best results. Compared with the traditional choropleth maps that represent a homogeneous density in each commune, the accuracy improvement of the disaggregated maps ranged between 20% and 67% (between 46% and 67% for the best method).
Primary dental clinics are maldistributed in São Paulo city, with disadvantaged populations having less spatial access than their advantaged counterparts.
The aim of this study was to develop a method for the analysis of the influence of public transport supply in a large city (Melbourne) on the access to emergency dental treatment. Geographic Information Systems (GIS) tools were used to associate the geographical distribution of patients (and their socioeconomic status) with accessibility (through public transport supply, i.e. bus, tram and/or train) to emergency dental care. The methodology used allowed analysis of the socioeconomic status of patient residential areas and both spatial location and supply frequency of public transport by using existing data from patient records, census and transport departments. In metropolitan Melbourne, a total of 13 784 patients met the inclusion criteria for the study sample, of which 95% (n = 13 077) were living within a 50 km radius of the Royal Dental Hospital of Melbourne. Low socioeconomic areas had a higher demand for dental emergency care in the Royal Dental Hospital of Melbourne. Public transport supply was similar across the various socioeconomic strata in the population, with 80% of patients having good access to public transport. However, when considering only high-frequency bus stops, the percentage of patients living within 400 m from a bus stop dropped to 65%. Despite this, the number of patients (adjusted to the population) coming from areas not supplied by public transport, and from areas with good or poor public transport supply, was similar. The methodology applied in the present study highlights the importance of evaluating not only the spatial distribution but also the frequency of public transport supply when studying access to services. This methodology can be extrapolated to other settings to identity transport/access patterns for a variety of services.
Introduction:The geographical distribution of dentistry schools has been the object of study in Brazil and in other parts of the world. Aim: To analyze the distribution of dentistry schools in Brazil by states and to correlate with the number of dentists in 2015. Methods: This is a cross-sectional study. The analysis of the courses distribution was carried out by states and categorized by public or private schools. All the institutions' addresses were geocoded and mapped to illustrate the spatial distribution of dental courses. To determine the association between the number of faculties by state and the number of dentists, the Spearman correlation test was applied with the level of decision (alpha = 0.05) for correlating the variables. Results: The distribution of schools and dentists were irregular. In 2015, there were 232 dental courses in operation; being 56 (24%) public and 176 (76%) private in Brazil, and all 26 states and the Federal District have dental courses. The Spearman test showed a strong positive correlation between the number of dental schools and the number of dentists. Conclusion: The distribution of dental schools has reflexes in the distribution of health professionals.
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