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Spatial and Temporal Dynamics of Chikungunya Incidence in Brazil and the Impact of Social Vulnerability: A Population-Based and Ecological Study.
de Jesus Santos, Thiago; de Araújo, Karina Conceição Gomes Machado; Góes, Marco Aurélio de Oliveira; Bezerra-Santos, Marcio; Ribeiro, Caíque Jordan Nunes; Dos Santos, Allan Dantas; Camargo, Emerson Lucas Silva; Souza, Regina Claudia Silva; Mendes, Isabel Amélia Costa; Sousa, Alvaro Francisco Lopes de; da Conceição Araújo, Damião.
Afiliação
  • de Jesus Santos T; Graduate Program in Nursing, Federal University of Sergipe, São Cristóvão 49100-000, Brazil.
  • de Araújo KCGM; Medical and Nursing Science Center, Federal University of Alagoas, Campus Arapiraca, Arapiraca 57309-005, Brazil.
  • Góes MAO; Graduate Program in Nursing, Federal University of Sergipe, São Cristóvão 49100-000, Brazil.
  • Bezerra-Santos M; Medical and Nursing Science Center, Federal University of Alagoas, Campus Arapiraca, Arapiraca 57309-005, Brazil.
  • Ribeiro CJN; Graduate Program in Nursing, Federal University of Sergipe, São Cristóvão 49100-000, Brazil.
  • Dos Santos AD; Graduate Program in Nursing, Federal University of Sergipe, São Cristóvão 49100-000, Brazil.
  • Camargo ELS; Ribeirao Preto College of Nursing, Universidade de São Paulo, Ribeirao Preto 14040-902, Brazil.
  • Souza RCS; Hospital Sírio-Libanês, Faculdade Sírio-Libanês, São Paulo 01308-050, Brazil.
  • Mendes IAC; Ribeirao Preto College of Nursing, Universidade de São Paulo, Ribeirao Preto 14040-902, Brazil.
  • Sousa AFL; Hospital Sírio-Libanês, Faculdade Sírio-Libanês, São Paulo 01308-050, Brazil.
  • da Conceição Araújo D; NOVA National School of Public Health, Comprehensive Health Research Center (CHRC), NOVA University of Lisbon, 1600-560 Lisbon, Portugal.
Diseases ; 12(7)2024 Jun 27.
Article em En | MEDLINE | ID: mdl-39057106
ABSTRACT
To assess the temporal and spatial dynamics of chikungunya incidence and its association with social vulnerability indicators in Brazil, an ecological and population-based study was conducted herein, with confirmed cases of chikungunya and based on clinical and clinical-epidemiological criteria from 2017 to 2023. Data were obtained from the Notifiable Diseases Information System and social vulnerability indicators were extracted from the official platform of the United Nations Development Program and the Social Vulnerability Atlas. Temporal, spatial, and global spatial regression models were employed. The temporal trend showed that in 2017, the incidence increased by 1.9%, and this trend decreased from 2020 to 2021 (-0.93%). The spatial distribution showed heterogeneity and positive spatial autocorrelation (I 0.71; p < 0.001) in chikungunya cases in Brazil. Also, the high-risk areas for the disease were concentrated in the northeast and north regions. The social vulnerability indicators associated with the outcome were those related to income, education, and housing conditions. Our analyses demonstrate that chikungunya continues to be a serious health concern in Brazil, but specially in the northeast and north regions. Lastly, mapping risk areas can provide evidence for the development of public health strategies and disease control in endemic regions.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE País/Região como assunto: America do sul / Brasil Idioma: En Revista: Diseases Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Brasil

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE País/Região como assunto: America do sul / Brasil Idioma: En Revista: Diseases Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Brasil