International Journal of Environmental Research and Public Health · 2018 · 17 citations · 17 references
MedicineBiostatisticsOncologyCancer EpidemiologyEpidemiologySpatial EpidemiologyCancer MortalityDisease MappingEpidemiology Of Oral DiseasesGeographic Variation In CancerOral Cancer EpidemiologyOral Cavity CancerCancer Mortality PatternsCancer Mortality VariationCountry-level Cancer VariationEpidemiology Of Oropharyngeal CancerMortality RatesRegional Cancer PatternsSpatial Epidemiology Of CancerStandardized Mortality Rates
Recent studies have shown a high number of deaths from oral and oropharyngeal cancer worldwide, Brazil included. For this study, the deaths data (ICD-10, chapter II, categories C00 to C14) was obtained from Mortality Information System (SIM) and standardized by gender and population for each of the 554 Microregions of Brazil. The raw mortality rates were adopted as the standard and compared to the application of smoothing by the Bayesian model. In order to describe the geographical pattern of the occurrence of oral cancer, thematic maps were constructed, based on the distributions of mortality rates for Microregions and gender. Results: There were 7882 deaths registered due to oral and oropharyngeal cancer in Brazil, of which 6291 (79.81%) were male and 1591 (20.19%) female. The Empirical Bayesian Model presented greater scattering with mosaic appearance throughout the country, depicting high rates in Southeast and South regions interpolated with geographic voids of low rates in Midwest and North regions. For males, it was possible to identify expressive clusters in the Southeast and South regions. Conclusion: The Empirical Bayesian Model allowed an alternative interpretation of the oral and oropharynx cancer mortality mapping in Brazil.
17
Rebecca L. Siegel, Kimberly D. Miller, Ahmedin Jemal · CA A Cancer Journal for Clinicians · 2018 · 17K citations · Full text
<i><b>GeoDa</b></i>: An Introduction to Spatial Data Analysis
Luc Anselin, Ibnu Syabri, Youngihn Kho · Geographical Analysis · 2005 · 2.5K citations
Computing, Geography, Visualization +17