Spatial-temporal Correlation of Dengue Fever and Climatic Variables in the City of São Paulo, Brazil
DOI:
https://doi.org/10.33448/rsd-v10i3.13067Keywords:
Correlation; Computational Model; Epidemic disease.Abstract
This paper studies the association between dengue cases and climatic variables in the city of São Paulo, Brazil, in the period from 2001 to 2011. The main hypothesis is that climatic conditions, such as precipitation, humidity and temperature, are all correlated to the dengue spread in São Paulo. Randomization and Spearman rank correlation are applied over the collected dataset, and the estimated results show that only a higher temperature is correlated to an increase in the notification of new dengue cases in São Paulo, further reinforcing the fact that the Aedes aegypti mosquito is known to survive in distinct climatic conditions, greatly adapting itself to urban environments.
References
Akiner, M. M., Demirci, B., Babuadze, G., Robert, V., & Schaffner, F. (2016). Spread of the invasive mosquitoes Aedes aegypti and Aedes albopictus in the Black Sea region increases risk of chikungunya, dengue, and Zika outbreaks in Europe. PLoS neglected tropical diseases, 10(4), e0004664.
Araújo, M. L. V., Miranda, J. G. V., Sampaio, R., Moret, M. A., Rosário, R. S., & Saba, H. (2018). Nonlocal dispersal of dengue in the state of Bahia. Science of the Total Environment, 631, 40-46.
Centers for Disease Control, Dengue (2020). Retrieved Oct 6, 2020, from URL https://www.cdc.gov/dengue/.
Halstead, S. B. (2006). Dengue in the Americas and Southeast Asia: do they differ?. Revista panamericana de salud publica, 20, 407-415.
Halstead, S. B. (2007). Dengue. The lancet, 370(9599), 1644-1652.
IBGE, Instituto Brasileiro de Geografia e Estatística, Population of São Paulo (2020). Retrieved Nov 8, 2020, from URL https://www.ibge.gov.br/cidades-e-estados/sp/sao-paulo.html.
INMET. Instituto Nacional de Metereologia (2020). Retrieved Nov 20, 2020, from URL http://www.inmet.gov.br/projetos/rede/pesquisa/.
Keating, J. (2001). An investigation into the cyclical incidence of dengue fever. Social science & medicine, 53(12), 1587-1597.
Manly, B. F. (2006). Randomization, bootstrap and Monte Carlo methods in biology (Vol. 70). CRC press.
Mustafa, M. S., Rasotgi, V., Jain, S., & Gupta, V. J. M. J. A. F. I. (2015). Discovery of fifth serotype of dengue virus (DENV-5): A new public health dilemma in dengue control. Medical journal armed forces India, 71(1), 67-70.
Nascimento Filho, A. S., Araújo, M. L. V., Miranda, J. G. V., Murari, T. B., Saba, H., & Moret, M. A. (2018). Self-affinity and self-organized criticality applied to the relationship between the economic arrangements and the dengue fever spread in Bahia. Physica A: Statistical Mechanics and its Applications, 502, 619-628.
Neumann, G., Noda, T., & Kawaoka, Y. (2009). Emergence and pandemic potential of swine-origin H1N1 influenza virus. Nature, 459(7249), 931-939.
Pourrut, X., Kumulungui, B., Wittmann, T., Moussavou, G., Délicat, A., Yaba, P., ... & Leroy, E. M. (2005). The natural history of Ebola virus in Africa. Microbes and infection, 7(7-8), 1005-1014.
Reinhold, J. M., Lazzari, C. R., & Lahondère, C. (2018). Effects of the environmental temperature on Aedes aegypti and Aedes albopictus mosquitoes: a review. Insects, 9(4), 158.
Saba, H., Moret, M. A., Barreto, F. R., Araújo, M. L. V., Jorge, E. M. F., Nascimento Filho, A. S., & Miranda, J. G. V. (2018). Relevance of transportation to correlations among criticality, physical means of propagation, and distribution of dengue fever cases in the state of Bahia. Science of The Total Environment, 618, 971-976.
Zambrano, L. I., Rodriguez, E., Espinoza-Salvado, I. A., & Rodríguez-Morales, A. J. (2019). Dengue in Honduras and the Americas: The epidemics are back!. Travel Med Infect Dis, 101456-101456.
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Copyright (c) 2021 Marcio Luis Valença Araújo; Aloísio Nascimento Filho; Antônio Cordeiro; Renelson Sampaio; Marcelo Moret; Raphael Rosário; José Garcia Vivas Miranda; Marcio Macedo; Eduardo Jorge; Hugo Saba
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