Geoprocessing and Health
Childhood Cancer Cases and the Relationship between the Population of the Cities
DOI:
https://doi.org/10.5433/1679-0375.2025.v46.50887Keywords:
Medical Geography, Northern Paraná, childhood and adolescent cancerAbstract
This study is based on the following hypothesis: “Is it the greater the municipality’s population, the greater the number of cancer cases?” To investigate this question it was created a map of childhood cancer cases by municipality that are served by the NGO Viver, with the goal of comparing the data with the population of the municipalities served. Using the QGIS software, the cases were superimposed on the map of Paraná to visualize the spatial distribution. In addition, comparative graphs between the population and the number of
cases were generated to verify the existence of a correlation. Due to the case concentration in the northern region of the state, municipalities outside of this area were discarded to minimize data variation. The data were equalized based on Londrina statistics, a major health hub, assuming that all city cases are treated locally. There was a variation in the results with municipalities presenting more than 8 cases above average and others 4 fewer than expected. Although more populous municipalities generally present more câncer cases, some exceptions were identified which suggests the need for future investigations to understand these deviations.
Downloads
References
Almeida, A. S., Medronho, R. A., & Valencia, L. I. O. (2009). Análise espacial da dengue e o contexto socioeconômico no município do Rio de Janeiro, RJ. Revista de Saúde Pública, 43(4), 666–673.
Barbosa, G. D., & Fonseca, M. H. (2017). Sistemas de Informação Geográfica (SIG) como ferramenta de apoio para a gestão de projetos ambientais. Revista Brasileira de Gestão Ambiental e Sustentabilidade, 4(7), 127–135.
Barros, I. C. A., Sousa, C. C. M., Silva, N. R. F., & Mascarenhas, M. D. M. (2024). Caracterização de casos e indicadores epidemiológicos e operacionais da hanseníase: análise de séries temporais e distribuição espacial, Piauí, 2007-2021. Epidemiologia e Serviços de Saúde, 33, 1–16.
Centro de Oncologia Monte Sinai. (2025). Estatísticas do câncer. https://www.oncologiamontesinai.com.br/estatisticas-do-cancer/
Curriero, F. C., Wychgram, C., Rebman, A. W., Corrigan, A. E., Kvit, A., Shields, T., & Aucott, J. N. (2021). The Lyme and Tickborne Disease Dashboard: a map-based resource to promote public health awareness and research collaboration. PLoS One, 16(12), 1–11.
Feliciano, S. V. M., Santos, M. O., & Oliveira, M. S. P. (2018). Incidência e Mortalidade por Câncer entre Crianças e Adolescentes: uma Revisão Narrativa. Revista Brasileira de Cancerologia, 64(3), 389–396.
Gandra, A. (2023). Mortalidade prematura por câncer no Brasil deve cair até 2030. Agência Brasil. https://agenciabrasil.ebc.com.br/saude/noticia/2023-02/mortalidade-prematura-por-cancer-no-brasil-deve-cair-ate-2030
Instituto Brasileiro de Geografia e Estatística. (2022). Downloads. https://www.ibge.gov.br/geociencias/downloads-geociencias.html
Instituto Nacional de Câncer. (2014). Atlas On-line de Mortalidade. https://www.inca.gov.br/MortalidadeWeb/pages/Modelo10/consultar.xhtml#panelResultado
Jayme, N. S., Silveira, H. M., & Pinese, J. P. P. (2015). Geografia do câncer: espacialização dos casos de neoplasia ocupacional na macrorregional de saúde do norte do estado do Paraná, entre 2001 e 2011. In J. M. Bastos, & E. M Machados (Orgs.), Formação sócio-espacial: o que é isto? (pp. 666–690, Cadernos Geográficos, Vol. 34). Universidade Federal de Santa Catarina. https://cadernosgeograficos.ufsc.br/caderno-geografico-n34-formacao-socio-espacial-o-que-e-isto/
Lu, H., Shang, Z., Ruan, Y., & Jiang, L. (2023). Study on Urban Expansion and Population Density Changes Based on the Inverse S-Shaped Function. Sustainability, 15(13), 1–19.
Luizaga, C. T. M., & Buchalla, C. M. (2023). Estimativa da incidência de câncer no Estado de São Paulo, Brasil, a partir de dados reais. Cad. de Saúde Pública, 39(2), 1–15.
Malta, D. C., Teixeira, R., Oliveira, G. M. M., & Ribeiro, A. L. P. (2020). Mortalidade por Doenças Cardiovasculares Segundo o Sistema de Informação sobre Mortalidade e as Estimativas do Estudo Carga Global de Doenças no Brasil, 2000-2017. Arquivos Brasileiros de Cardiologia, 115(2), 152–160.
Mas, J. F. (2004). Mapping land use/cover in a tropical coastal area using satellite sensor data, GIS and artificial neural networks. Estuarine, Coastal and Shelf Science, 59(2), 219–230.
Melo, H. A., Rossoni, D. F., & Teodoro, U. (2017). Spatial distribution of cutaneous leishmaniasis in the state of Paraná, Brazil. PLoS One, 12(9), 1–10.
Moura, A. C. M. (2005). Geoprocessamento na gestão e planejamento urbano (2nd ed.). Ed. da autora.
Organização Viver. (2022). História. https://www.ongviver.org.br/viver
Ren, Y., Yan, J., Wei, X., Wang, Y., Yang, Y., Hua, L., Xiong, Y., Niu, X., & Song, X. (2012). Effects of rapid urban sprawl on urban forest carbon stocks: Integrating remotely sensed, GIS and forest inventory data. Journal of Environmental Management, 113, 447–455.
Santos, A. S. (2018). Introdução ao ambiente SIG QGIS. IBGE. https://geoftp.ibge.gov.br/metodos_e_outros_documentos_de_referencia/outros_documentos_tecnicos/introducao_sig_qgis/Introducao_ao_ambiente_SIG_QGIS_2edicao.pdf
Santos, M. O., Lima, F. C. S., Martins, L. F. L., Oliveira, J. F. P., Almeida, L. M., & Cancela, M. C. (2023). Estimativa de Incidência de Câncer no Brasil, 2023-2025. Revista Brasileira de Cancerologia, 69(1), e–213700.
United Nations. (2022). World population to reach 8 billion this year, as growth rate slows. https://news.un.org/en/story/2022/07/1122272
World Health Organization. (2022). Cancer. https://www.who.int/health-topics/cancer#tab=tab_1
Zhang, S., Fan, W., Li, Y., & Yi, Y. (2021). The influence of changes in land use and landscape patterns on soil erosion in a watershed. Science of The Total Environment, 574, 34–45.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Igor Henrique de Sousa Palmar, Viviane de Alvarenga, Osvaldo Coelho Pereira Neto
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
The Copyright Declaration for articles published in this journal is the author’s right. Since manuscripts are published in an open access Journal, they are free to use, with their own attributions, in educational and non-commercial applications. The Journal has the right to make, in the original document, changes regarding linguistic norms, orthography, and grammar, with the purpose of ensuring the standard norms of the language and the credibility of the Journal. It will, however, respect the writing style of the authors. When necessary, conceptual changes, corrections, or suggestions will be forwarded to the authors. In such cases, the manuscript shall be subjected to a new evaluation after revision. Responsibility for the opinions expressed in the manuscripts lies entirely with the authors.
This journal is licensed with a license Creative Commons Attribution-NonCommercial 4.0 International.
