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Spatial analysis for the identification of risk areas for schistosomiasis mansoni in the State of Sergipe, Brazil, 2005-2014
Santos, Allan Dantas dos; Lima, Ana Caroline Rodrigues; Santos, Márcio Bezerra; Alves, José Antônio Barreto; Góes, Marco Aurélio de Oliveira; Nunes, Marco Antônio Prado; Sá, Sidney Lourdes César Souza; Araújo, Karina Conceição Gomes Machado de.
  • Santos, Allan Dantas dos; Universidade Federal de Sergipe. Departamento de Enfermagem. Lagarto. BR
  • Lima, Ana Caroline Rodrigues; Universidade Federal de Sergipe. Departamento de Enfermagem. Lagarto. BR
  • Santos, Márcio Bezerra; Universidade Federal de Sergipe. Departamento de Enfermagem. Lagarto. BR
  • Alves, José Antônio Barreto; Universidade Federal de Sergipe. Departamento de Enfermagem. Lagarto. BR
  • Góes, Marco Aurélio de Oliveira; Universidade Federal de Sergipe. Departamento de Enfermagem. Lagarto. BR
  • Nunes, Marco Antônio Prado; Universidade Federal de Sergipe. Departamento de Enfermagem. Lagarto. BR
  • Sá, Sidney Lourdes César Souza; Universidade Federal de Sergipe. Departamento de Enfermagem. Lagarto. BR
  • Araújo, Karina Conceição Gomes Machado de; Universidade Federal de Sergipe. Departamento de Enfermagem. Lagarto. BR
Rev. Soc. Bras. Med. Trop ; 49(5): 608-615, Sept.-Oct. 2016. tab, graf
Article in English | LILACS | ID: lil-798128
ABSTRACT
Abstract

INTRODUCTION:

Schistosomiasis is a parasitic infectious disease with a worldwide prevalence. The objective of this work is to identify risk areas for schistosomiasis mansoni transmission in the State of Sergipe, Brazil, during the period from 2005 to 2014.

METHODS:

We conducted an epidemiological study with secondary data from the Information System Control Program of Schistosomiasis [Sistema de Informação do Programa de Controle da Esquistossomose (SISPCE)]. Temporal trends were analyzed to obtain the annual percentage change (APC) in the rates of annual prevalence. In addition to the description of general indicators of the disease, the spatial analysis was descriptive, by means of the estimator of intensity kernel, and showed spatial dependence by indicators of global Moran (I) and Local Index of Spatial Association (LISA). Thematic maps of spatial distribution were made, identifying priority intervention areas in need of healthcare.

RESULTS:

There were 78,663 cases of schistosomiasis, with an average of 8.7% positivity recorded; 79.8% of the cases were treated, and Sergipe showed a decreasing positive trend (APC -2.78). There was the presence of spatial autocorrelation and a significant global Moran index (I = 0.19; p-value = 0.03). We identified clusters of high-risk areas, mainly located in the northeast and southcentral of the state, which each had equally high infection rates.

CONCLUSIONS:

There was a decreasing positive trend of schistosomiasis in Sergipe. Spatial analysis identified the geographic distribution of risk and allowed the definition of priority areas for the maintenance and intensification of control interventions.
Subject(s)


Full text: Available Index: LILACS (Americas) Main subject: Schistosomiasis mansoni Type of study: Diagnostic study / Etiology study / Prevalence study / Risk factors Limits: Humans Country/Region as subject: South America / Brazil Language: English Journal: Rev. Soc. Bras. Med. Trop Journal subject: Tropical Medicine Year: 2016 Type: Article Affiliation country: Brazil Institution/Affiliation country: Universidade Federal de Sergipe/BR

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Full text: Available Index: LILACS (Americas) Main subject: Schistosomiasis mansoni Type of study: Diagnostic study / Etiology study / Prevalence study / Risk factors Limits: Humans Country/Region as subject: South America / Brazil Language: English Journal: Rev. Soc. Bras. Med. Trop Journal subject: Tropical Medicine Year: 2016 Type: Article Affiliation country: Brazil Institution/Affiliation country: Universidade Federal de Sergipe/BR