A Incidência da Dengue Explicada por Variáveis Climáticas na Região Metropolitana do Rio de Janeiro
DOI:
https://doi.org/10.5540/tcam.2025.026.e01476Keywords:
Epidemiologia, An´alise Multivariada, Series Temporais, Sensoriamento RemotoAbstract
The increase in notifications on the incidence of dengue testify to the overload of the public health systems and calls attention to the improper use of public resources that could be used to fight poverty and the consequent income inequality. Although dengue is a vector-borne disease, it has been observed that populations living in areas with different urban, economic and demographic patterns are impacted differently by this arbovirus. Understanding how the temporal evolution of dengue occurred in recent years can provide healthcare officials with a more detailed knowledge of the dynamics of the spread of dengue and its vectors, thus assisting the decision-making process and orienting local authorities in organizing controls in endemic areas. To achieve this objective, some time series models for analysis and forecasting were proposed and adjusted to the field data. This work describes a study carried out for the municipalities of Guapimirim and Magé, located in the metropolitan area of Rio de Janeiro. The modelling of the time series was based on ARMAX models, which allow to estimate the relationship between the incidence of dengue and climatic variables.
References
Referências
M. G. Teixeira, M. L. Barreto, and Z. Guerra, “Fundação Nacional de Saúde.
Evolução temporal das doenças de notificações compulsória no Brasil 1980-
Boletim Eletrônico Epidmiologia Edição Especial,” Informe Epidemiológico do SUS, vol. 8, no. 4, pp. 5–33, 1999.
O. Franca, A História da Febre Amarela no Brasil-Rio de Janeiro, vol. Único.
Dengue explicada por variáveis climáticas 9
O. R. Causey, O. Maroja, and M. C. Azevedo, “Epidemia pelo vírus Mayaro
no Estado do Pará,” TEMA -Revista do Serviço Especial de Saúde Pública,
vol. 10, no. 1, pp. 152–154, 1976.
M. G. Teixeira, A. M. S. Andrade, M. d. C. N. Costa, J. S. M. Castro, F. L. S. Oliveira, C. S. B. Goes, M. M. Maia, E. B. Santana, B. T. B. Nunes, and P. F. C. Vasconcelos, “East/Central/South African Genotype Chikungunya Virus, Brazil, 2014,” Emerging Infectious Diseases, vol. 21, no. 5, pp. 906–908, 2015.
G. S. Campos, B. A. C. Andrade, and S. I. Sardi, “Zika vírus outbreak, Bahia, Brazil,” Emerging Infectious Diseases, vol. 21, no. 10, pp. 1885–1886, 2015.
M. T. Nunes, N. R. Farias, J. M. Vasconcelos, N. Golding, M. N. G. Kroemer, L. F. Olliveira, R. S. S. Azevedo, D. E. A. Silva, E. V. P. Silva, S. P. Silva, V. L. Carvalho, G. E. Coelho, A. C. R. Cruz, S. G. Rodrigues, J. L. C. Vianez, B. T. D. Nunes, R. B. Tesh, H. S. I, O. G. Pybus, and P. F. C. Vasoncelos, Emergence and potential for spread of Chikungunya virus in Brazil,” BMC Medicine, vol. 11, no. 3, pp. 480–496, 2015.
T. N. Lima-Camara, “Emerging arboviruses and public health challenges in Brazil,” Revista de Saúde Pública, vol. 102, no. 13, pp. 1–10, 2016.
WHO, Dengue haemorrhagic fever Diagnosis, treatment, prevention and control. Genebra: World Health Organization, 1997.
S. B. Halstead, “Dengue Virus-Mosquito Interactions,” Scott B. Halstead,
vol. 53, no. 1, pp. 273–291, 2008.
P. Gurugama, P. Garg, J. Perera, A. Wijewickrama, and S. L. Seneviratne,
“Dengue viral infections,” India Journal of Dermatology, vol. 55, no. 1, pp. 68–
, 2010.
D. Shepard, E. Undurraga, Y. Halasa, and J. Stanaway, “ The global economic
burden of dengue: a systematic analysis ,” The Lancet Infectious Diseases,
vol. 16, no. 8, pp. 935–941, 2016.
M. da Saúde, “Monitoramento dos casos de arboviroses urbanas transmitidas
pelo Aedes (dengue, chikungunya e Zika), Semanas Epidemiológicas 01 a 52,”
Boletim Epidemiológico 5, vol. 51, no. 2, pp. 1–21, 2020.
M. M. O. Campos, M. S. Rodrigues, I. A. D. Paploski, M. Kikuti, A. M. Kasper,
S. J. Cruz, T. L. Queiroz, A. S. Tavares, P. M. Santana, J. M. G. Araújo,
A. I. Ko, M. G. Reis, and G. S. Ribeiro, “Accuracy of Dengue Reporting by
National Surveillance System, Brazil,” Emerging Infectious Diseases, vol. 22,
no. 2, pp. 336–339, 2016.
D. J. Gubler, “Dengue and dengue hemorrhagic fever,” Clinical Microbiology
Reviews, vol. 11, no. 3, pp. 480–496, 1998.
Autor1 Autor2 Autor3 Autor4
D. Normile, “Surprising new dengue virus throws a spanner in disease control efforts,” Science, vol. 342, no. 6157, p. 415, 2013.
N. Vasilakis, N. Ooi, M. Rabaa, M. S, S. Widen, H. A. Perera, D and, A. Travassos Da Rosa, K. Bossart, R. Tesh, and E. Holmes, “The daemon in the forest-emergence of a new dengue serotype in SouthEast Asia,” Third International Conference on Dengue and Dengue Haemorrhagic Fever, Bangkok, Thailand, 2013.
L. C. M. S. Mustafa, C. Rasotgi, C. S. Jain, and L. C. V. Gupta, “Discovery
of fifth serotype of dengue virus (DENV-5): A new public health dilemma in
dengue control,” Medical Journal Armed Forces India, vol. 71, no. 1, pp. 67–70, 2015.
T. N. Vilches and C. P. Farreira, “Um Modelo para a Dengue com Influência Sazonal,” TEMA - Tendências em Matemática Aplicada e Computacional, vol. 14, no. 3, pp. 279–290, 2013.
A. Molter, L. R. Piovesan, R. Pergher, and V. M. C, “Controle ótimo em
epidemias de dengue,” Tema-Treds in Applied and Competational Mathematics, vol. 17, no. 2, pp. 129–142, 2016.
IBGE, “Censo Demográfico IBGE 2010 [Internet].,” Instituto Brasileiro de Geografia e Estatística, no. 1, pp. 1–378, 2010.
L. Silva, R. Cardoso, J. Fernandes, C. Silva, and A. Eiras, “Modelo entomológico determinístico sob efeito da pluviosidade para o Aedes aegypti e o Aedes albopictus,” TEMA - Tendências em Matemática Aplicada e Computacional,
vol. 19, no. 2, pp. 289–303, 2018.
L. Silva, A. Vasconcelos, C. R. Sanches, A.L., C. Fernandes, and A. Eiras, “Otimização mono-objetivo o controle do mosquito Aedes Aegypti por meio de um modelo de duas populações com influência de precipitação,” TEMA -Tendências em Matemática Aplicada e Computacional, vol. 20, no. 1, pp. 279–290, 2019.
J. D. Hamilton, Time Series Analysis. Princeton University Press, 1994.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 TEMA (São Carlos)

This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.
Copyright
Authors of articles published in the journal Trends in Computational and Applied Mathematics retain the copyright of their work. The journal uses Creative Commons Attribution (CC-BY) in published articles. The authors grant the TCAM journal the right to first publish the article.
Intellectual Property and Terms of Use
The content of the articles is the exclusive responsibility of the authors. The journal uses Creative Commons Attribution (CC-BY) in published articles. This license allows published articles to be reused without permission for any purpose as long as the original work is correctly cited.
The journal encourages Authors to self-archive their accepted manuscripts, publishing them on personal blogs, institutional repositories, and social media, as long as the full citation is included in the journal's website version.