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Temporal trend, high-risk spatial and spatiotemporal clustering of leprosy indicators in Brazil: A 20-year ecological and population-based study.
Paz, Wandklebson Silva; Ramos, Rosália Elen Santos; Bezerra, Letícia Pereira; Matos, Dalton Ferreira; Tavares, Débora Santos; Souza, Carlos Dornels Freire; Bezerra-Santos, Márcio; Ximenes, Ricardo Arraes Alencar.
Afiliación
  • Paz WS; Tropical Medicine Graduate Program, Universidade Federal de Pernambuco, Recife, Brazil.
  • Ramos RES; Tropical Medicine Graduate Program, Universidade Federal de Pernambuco, Recife, Brazil.
  • Bezerra LP; Biosciences and Biotechnology in Health Graduate Program, Instituto Aggeu Magalhães, Fundação Oswaldo Cruz, Recife, Brazil.
  • Matos DF; Biotechnology Graduate Program, Universidade Federal de Sergipe, São Cristóvão, Brazil.
  • Tavares DS; Department of Health Education, Universidade Federal de Sergipe, Lagarto, Brazil.
  • Souza CDF; College of Medicine, Federal University of Vale do São Francisco, Petrolina, Brazil.
  • Bezerra-Santos M; Health Science Graduate Program, Universidade Federal de Sergipe, Aracaju, Brazil.
  • Ximenes RAA; Medical Science Center, Universidade Federal de Alagoas, Arapiraca, Brazil.
Trop Med Int Health ; 28(7): 517-529, 2023 07.
Article en En | MEDLINE | ID: mdl-37243431
OBJECTIVES: Leprosy still represents a public health concern in Brazil. The country is the only one in America not to reach the global goal of leprosy disease control. Hence, this study aimed to assess the temporal, spatial and space-time patterns of leprosy cases in Brazil of the 20-year time series 2001-2020. METHODS: An ecological and population-based analysis was carried out, applying temporal and spatial techniques, and using the detection coefficient of sociodemographic and clinical-epidemiological variables of leprosy new cases in the 5570 municipalities of Brazil. Temporal trends were assessed using a segmented linear regression model. For spatial analysis, global and local Moran indexes were applied, and space-time scan statistics was used to identify risk clusters. RESULTS: The mean detection coefficient was 19.36/100,000 inhabitants, with a higher occurrence among men (21.29/100,000 inhabitants) and in the 60-69 age group (36.31/100,000). A decreasing temporal trend was observed in the country (annual percentage change: -5.20% per year). The North and Midwest regions were the most affected, exhibiting municipalities with a high/high standard, and with the highest annual percentage increase of multibacillary (MB) cases. Leprosy has a heterogeneous distribution throughout Brazil, but with high-risk spatiotemporal clusters, mainly located in the North and Midwest regions. CONCLUSION: Although Brazil has shown a decreasing temporal trend during the past 20 years, the country is still classified as highly endemic for leprosy, showing an increase in the proportion of new MB cases over the years.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Lepra Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans / Male País/Región como asunto: America do sul / Brasil Idioma: En Revista: Trop Med Int Health Asunto de la revista: MEDICINA TROPICAL / SAUDE PUBLICA Año: 2023 Tipo del documento: Article País de afiliación: Brasil

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Lepra Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans / Male País/Región como asunto: America do sul / Brasil Idioma: En Revista: Trop Med Int Health Asunto de la revista: MEDICINA TROPICAL / SAUDE PUBLICA Año: 2023 Tipo del documento: Article País de afiliación: Brasil