Spatial distribution of prostate cancer at a regional scale and demographic and socioeconomic factors: Megalopolis of Central Mexico (2013-2020)
Abstract
The spatial distribution of crude mortality rates for prostate cancer at the municipal level in the Mexican megalopolis in 2013-2020 was analyzed using spatial analysis, with autocorrelation and spatial regression techniques. There is a growing trend in deaths, and a heterogeneous distribution according to mortality levels. Areas with higher and lower risk were delimited. Using the Global Moran Index, the spatial non-randomness of mortality was determined. With the cluster analysis, those areas with high values were geostatistically delimited: central metropolitan municipalities and some suburban areas; and low: certain peripheral conurbation areas. Applying the spatial lag regression analysis, a significant relationship was detected with demographic aging (positive) and with the presence of indigenous population (negative), there was no significant relationship between mortality and access to health services and poverty level.
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