Non-parametric tests applied to reported cases of dengue in the southeast region of Brazil

  • José Francisco de Oliveira-Júnior
  • Givanildo de Gois
  • Elania Barros da Silva
  • Carlos Antonio Silva Junior
  • Paulo Eduardo Teodoro
Keywords: Infectious disease, Climatic elements, Statistical methods, Meteorological systems, Climate change

Abstract

Dengue is one of the biggest problems of global public health in developing and underdeveloped countries. Nowadays, researchers in climate changes are concerned about the impact of these changes on human health, particularly with increased this epidemic. Dengue is among the largest public health problems in Brazil and is higher in the months with high temperatures, which is the Aedes aegypti's reproductive period climax. Reported dengue cases via DATASUS from 1994 to 2014 were analyzed. Mann-Kendall (MK), Run and Pettit nonparametric tests; were applied to time series. The run test indicated that the time series is homogenous and persistence free. There is a non-significant trend of increase of a number of reported dengue cases only in Rio de Janeiro. Based on the test, three positive trends were identified in the time series of São Paulo, Minas Gerais and the Espírito Santo States of dengue cases reported in Southeast of Brazil. Pettitt test was able to identify the years classified as El Niño events and that had a significant impact on the increase of dengue cases in the southeastern region of Brazil.

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Author Biography

Paulo Eduardo Teodoro
Engenheiro Agrônomo pela Universidade Estadual de Mato Grosso do Sul (UEMS) e Engenheiro Civil pela Universidade Anhanguera-UNIDERP. Mestre em Agronomia - área de concentração: Produção Vegetal da Universidade Estadual de Mato Grosso do Sul, Unidade Universitária de Aquidauana (UEMS/UUA), onde participa de pesquisas na área de Fitotecnia com adubos verdes, braquiária, feijão, feijão-caupi, milho, milheto e soja nos seguintes temas: análises de adaptabilidade e estabilidade fenotípica, interação Genótipo x Ambiente, repetibilidade de caracteres, divergência e variabilidade genética, análise de trilha, modelos mistos (REML/BLUP), redes neurais artificiais (RNAs), inferência bayesiana, dentre outros. Desenvolve ainda pesquisas na área de geoestatística e climatologia com ênfase em: modelos matemáticos teóricos e métodos de interpolação, analise de cluster, ajuste de funções de densidade de probabilidade, precipitação provável e tamanho da amostra.
Published
2018-08-08
How to Cite
Oliveira-Júnior, J. F. de, de Gois, G., da Silva, E. B., Silva Junior, C. A., & Teodoro, P. E. (2018). Non-parametric tests applied to reported cases of dengue in the southeast region of Brazil . Bioscience Journal, 34(4). https://doi.org/10.14393/BJ-v34n1a2018-39702
Section
Biological Sciences