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This study aimed to understand the impact of sociodemographic, economic, and climatic factors on the number of hospitalizations and deaths due to PCM in S\u00e3o Paulo (SP) state, Brazil. Data on 645 municipalities were collected from government databases between 2006 and 2020. The Spearman\u2019s correlations between sociodemographic variables (population density, Municipal Human Development Index, and number of public health facilities in the municipality) and PCM rates showed the strongest negative correlation coefficients among the other variables. 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