Modeling dengue cases in the city of Campina Grande-PB using circular statistics

Authors

  • Divanilda Maia Esteves Universidade Estadual da Paraíba https://orcid.org/0009-0005-0927-6147
  • Débora dos Santos Farias Universidade Federal da Paraíba

Keywords:

Directional Statistics, Circular Data, Arboviruses

Abstract

This work proposes the use of circular statistics to model the number of monthly dengue cases in the city of Campina Grande-PB. Circle statistics is used for data that can be represented as points on the circumference of the unit circle. What sets this approach apart from the commonly used approach is that it respects the nature of the data and provides techniques and graphs that highlight the intrinsic characteristics of directional variables. The main difference of this approach is that the data is represented by angles, which highlights the periodic nature of the data. The data used in this work refer to the number of dengue cases notified monthly in the municipality of Campina Grande and were made available by SINAN through the TABENET (Public domain tabulator developed by DATASUS that allows organizing data to generate information from databases of data from the unified health system, it is possible to generate tables and produce graphs and maps).
The period considered goes from January 2018 to December 2021. The statistical procedures were performed in software R. For the analyzes the packages dplyr and Circular were used.

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Published

21-08-2024

How to Cite

Esteves, D. M., & Farias, D. dos S. (2024). Modeling dengue cases in the city of Campina Grande-PB using circular statistics. Sigmae, 13(2), 104–117. Retrieved from https://publicacoes.unifal-mg.edu.br/revistas/index.php/sigmae/article/view/2225

Issue

Section

Applied Statistics