Abstract
Diagnostic imaging equipment is important for assistance in the Unified Health System, however, the lack of adequate geographical distribution of these equipment can hamper access to services. The objective was to analyze the geospatial distribution by data from the SUS Information Technology Department of equipment, as well as the availability and access to this equipment in the national territory and its relationship with the states’ per capita income. A cross-sectional study using spatial analysis tools to determine the existence of Global Spatial Autocorrelation (Moran's I) and Local Spatial Autocorrelation Index. The highest rates are concentrated in the Southeast, South, and Midwest regions, and the lowest are in the North and Northeast regions, which can be justified by the local GDP. Therefore, there is a lack of adequate distribution and management of imaging equipment, especially in the poorest regions. It shows the population’s difficulty of access and the need to implement public policies focusing on access to these equipment.
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The authors wish to acknowledge all investigation members for their generous contribution in this study.
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Noma, I.H.Y., Cruz, E., Dultra, A.C., Negri, M. (2022). Geospatial Analysis of Diagnostic Imaging Equipment in Brazil. In: Bastos-Filho, T.F., de Oliveira Caldeira, E.M., Frizera-Neto, A. (eds) XXVII Brazilian Congress on Biomedical Engineering. CBEB 2020. IFMBE Proceedings, vol 83. Springer, Cham. https://doi.org/10.1007/978-3-030-70601-2_312
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