ANÁLISE DAS NOTIFICAÇÕES DE DENGUE NO PARANÁ: ESTUDO DE CASO A PARTIR DA ESTATÍSTICA DESCRITIVA E ANÁLISE DE CORRESPONDÊNCIA MÚLTIPLA.

João Carlos Zayatz; SYNTIA  LEMOS COTRIM; Paulo César  Ossani; Gislaine Camila  Lapasini Leal

João Carlos Zayatz Universidade Estadual de Maringá https://orcid.org/0000-0003-0849-1900
SYNTIA LEMOS COTRIM Universidade Estadual de Maringá
Paulo César Ossani Universidade Estadual de Maringá https://orcid.org/0000-0002-6617-8085
Gislaine Camila Lapasini Leal Universidade Estadual de Maringá https://orcid.org/0000-0001-8599-0776

Keywords: dengue, disease notification, health information systems, multivariate analysis, multiple correspondence analysis.

Abstract

The objective of this study is to describe how dengue notifications in the epidemiological year 2019-2020 of Paraná State in Brazil. The records were extracted from the Notifications Aggravation System (SINAN). In addition to descriptive statistics, a multiple electronics analysis was used to explore the variable relationships present in the system, including socioeconomic and clinical information. The period represented a record in the historical series for the state, with 366,760 notifications, of which 66.59% were confirmed. Deaths from the disease were 198, which represents 0.054% of those notified. The acceptance criterion, in most clinical-epidemiological cases, used was 65.88% from the total. Specific laboratory tests were used as a confirmation criterion in 27.31% of the employees. The strongest association between pre-existing disease variables and levels of alarming (DAS) and severe (DG) dengue cases were also identified. Furthermore, between socioeconomic variables and classic dengue criteria were observed and are described in the results. The research intends to contribute to offer an overview of the registration of dengue notifications in Paraná, for the epidemiological year addressed and to suggest other possibilities for further exploratory analysis.

Author Biographies

João Carlos Zayatz, Universidade Estadual de Maringá

Graduado em Engenharia de Produção pela Universidade Estadual de Maringá (2012) e Mestre em Engenharia de Produção pela Universidade Estadual de Maringá (2022). Tem interesse na área de Pesquisa Operacional, Engenharia de Operações e Processos de Produção

SYNTIA LEMOS COTRIM, Universidade Estadual de Maringá

Graduated in Production Engineering from the State University of Maringá, Master in Urban Engineering and PhD in Chemical Engineering from the State University of Maringá. Adjunct Professor of the Production Engineering course and permanent professor of the Post-Graduation Program in Production Engineering PGP-UEM.

Paulo César Ossani , Universidade Estadual de Maringá

Doutorado em Estatística e Experimentação Agropecuária pela Universidade Federal de Lavras (UFLA), Mestrado em Estatística e Experimentação Agropecuária pela Universidade Federal de Lavras (UFLA), Mestrado em Matemática e Estatística pela Universidade Vale do Rio Verde de Três Corações (UNINCOR), Especialização em Educação Matemática pela Universidade Vale do Rio Verde de Três Corações (UNINCOR), Licenciatura em Matemática pela Universidade do Estado de Minas Gerais (UEMG). Experiência em Estatística Multivariada, Estatística Computacional, Machine Learning e no desenvolvimento de softwares para auxiliar na resolução de problemas matemáticos/estatísticos. Experiência no ensino superior em diversas disciplinas de matemática e estatística, além de ministrar cursos de MatLab e R.

Gislaine Camila Lapasini Leal, Universidade Estadual de Maringá

G.C.L. Leal. is an adjunct professor in the Production Engineering Department at Maringá State University, Paraná, Brazil. She is also part of the postgraduate programs in Computer Science and Production Engineering at the same university.

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