Mortality Profile and Spatial Analysis of Neoplasms in a São Paulo Countryside Municipality in the Biennium 2019-2020
DOI:
https://doi.org/10.32635/2176-9745.RBC.2024v70n3.4707Keywords:
Neoplasms/mortality, Spatial Analysis, Socioeconomic Factors, Demography, COVID-19Abstract
Introduction: Cancer is one of the leading causes of death worldwide, and socioeconomic and environmental differences reflect in mortality rates among different regions. Objective: To characterize and describe the profile of the population who died due to neoplasms in the municipality of Ribeirão Preto/SP, according to sex, race/color, age and place of residence in the biennium 2019-2020, and establish an association with COVID-19 deaths in 2020. Method: Cross-sectional, observational study, with data collected from death certificates by some type of neoplasm as the underlying cause and absolute and relative frequency of the population profile of deaths, mortality rates, and grouping by systems according to the ICD-10. Deaths according to the economic characteristics of the municipality’s regions were identified, and maps were created with the main causes, relating to economic conditions according to data of IBGE in addition to standardized mortality ratio. Results: There were 1,766 deaths, mostly in the age range of 61-80 years (52.8%), with an increase of 19.4% in 2020. Neoplasms of the digestive system were more prevalent (33.7%), but the most affected organ was lung (14.4%). Of the total, 8.9% of deaths were associated with COVID-19 infection. The Central region presented the highest mortality rate (2.5/thousand inhabitants), but the North Zone had the highest standardized mortality ratio (27.9/thousand inhabitants). The study suggests that there was a heterogeneous distribution across the municipality, with vulnerabilities such as income, which contributed to the analyzed outcome. Conclusion: It’s important to consider socioeconomic-spatial disparity of Ribeirão Preto for the creation and implementation of neoplasms prevention, screening and treatment programs for the population.
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