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Salud Colect. 2018 Jan-Mar;14(1):51-63. doi: 10.18294/sc.2018.1200.

Childhood cancer: incidence and spatial patterns in the city of Campinas, Brazil, 1996-2005.

[Article in English, Spanish; Abstract available in Spanish from the publisher]

Author information

1
Doctora en Salud Colectiva. Profesora, Universidade Federal da Fronteira Sul, Chapecó, Brasil. jane.friestino@uffs.edu.br.
2
Doctora en Bioestadística. Profesora, Epidemiology Research Unit, Instituto de Saúde Pública, Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto, Portugal. dvmendon@icbas.up.pt.
3
Doctor en Bioestadística. Profesor, Epidemiology Research Unit, Instituto de Saúde Pública, Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto, Portugal. pnoliveira@icbas.up.pt.
4
Doctora en Salud Pública. Profesora Asistente Invitada, Escola Superior de Saúde, Instituto Politécnico do Porto. Investigadora, Instituto de Investigação e Inovação em Saúde (i3s), Instituto de Engenharia Biomédica, Universidade do Porto, Portugal. carlaoliver@gmail.com.
5
Doctor en Medicina Preventiva. Profesor, Universidade Estadual de Campinas, Brasil. djalmore@unicamp.br.

Abstract

in English, Spanish

This article analyzes cancer incidence and spatial patterns in children and adolescents (0-19 years of age) residing in the city of Campinas in Southeastern Brazil who were diagnosed from 1996-2005. Cancers were classified according to the Third International Classification of Childhood Cancer (ICCC-3) Groups. The four most common groups were studied: leukemias, lymphomas, and central nervous system and soft tissue neoplasms. Age-standardized incidence rates were calculated using the world standard population. A spatial Bayesian hierarchical regression model (controlling for data heterogeneity and spatial autocorrelation) was fitted, assuming that the number of cancer cases follows a Poisson distribution. A total of 180 cases were diagnosed during the study period. Overall, the crude incidence rate was 54.2 per million and the age-standardized incidence rate was 56.5 per million. Although some regions present higher incidence rates, considering the spatial heterogeneity and the spatial autocorrelation, no statistically significant differences in the relative risks were observed.

PMID:
30020360
DOI:
10.18294/sc.2018.1200
[Indexed for MEDLINE]
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