Leprosy in Brazil: an analysis of the Global Burden of Disease estimates between 1990 and 2019.

Brazil Disability-adjusted life years Global Burden of Disease Incidence Leprosy Prevalence

Journal

Public health
ISSN: 1476-5616
Titre abrégé: Public Health
Pays: Netherlands
ID NLM: 0376507

Informations de publication

Date de publication:
16 Sep 2024
Historique:
received: 15 04 2024
revised: 24 07 2024
accepted: 26 07 2024
medline: 18 9 2024
pubmed: 18 9 2024
entrez: 17 9 2024
Statut: aheadofprint

Résumé

To analyze the occurrence of leprosy in Brazil and its states between 1990 and 2019, according to Global Burden of Disease (GBD) estimates, and its correlation with development status. A descriptive and analytical ecological epidemiological study. Rates of incidence, prevalence, and years lived with disability (YLD) due to leprosy, standardized by age, per 100,000 inhabitants, were analyzed. The trend analysis consisted of the joinpoint regression model and the average annual percentage change. The correlation between the incidence rate and the sociodemographic index (SDI) was investigated (Spearman test) at a 5% significance level. Incidence, prevalence and YLD rates were presented by country's states, sex, and age. There was an average percentage decrease of -1.1% per year (P < 0.001) in the incidence rate in the country and, between 1990 and 2019, a decline from 4.8 to 3.5 per 100,000 inhabitants; prevalence from 26.1 to 22.2, and YLD from 1.1 to 1.0. The incidence rate was higher among men and the elderly. Maranhão (7.0 in 1990; 4.2 in 2019), Alagoas (6.6 in 1990; 4.1 in 2019), Acre (6.1 in 1990; 4.0 in 2019), Mato Grosso (5.2 in 1990 and 3.7 in 2019), and Mato Grosso do Sul (4.8 in 1990 and 3.7 in 2019) presented the highest incidence rates. A negative correlation was observed between SDI levels and leprosy incidence rates in 1990 (R = -0.71; P < 0.0001) and 2019 (R = -0.81; P < 0.0001). Despite the decrease in the rates of leprosy incidence, prevalence, and YLDs over the analyzed period, Brazil has a long way towards achieving its eradication. The greater burden of the disease in males stands out. The estimated risk of the disease was higher in the states with the lowest SDI levels. Therefore, interventions must consider the heterogeneity of the disease burden geographically and between sociodemographic groups.

Identifiants

pubmed: 39288716
pii: S0033-3506(24)00353-6
doi: 10.1016/j.puhe.2024.07.035
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

307-314

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.

Auteurs

V E M de Araújo (VEM)

Programa de Pós-Graduação em Saúde Pública da Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil. Electronic address: valdelaine.miranda@gmail.com.

G A Veloso (GA)

Departamento de Estatística, Instituto de Matemática e Estatística, Universidade Federal Fluminense, Niterói, Rio de Janeiro, Brazil. Electronic address: guilhermeaugustoveloso@yahoo.com.br.

L R F S Kerr (LRFS)

Universidade Federal do Ceará, Fortaleza, Ceará, Brazil. Electronic address: ligiakerr@gmail.com.

J M Pescarini (JM)

Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom; Centro de Integração de Dados e Conhecimentos para Saúde (Cidacs), Oswaldo Cruz Foundation, Salvador, Brazil. Electronic address: julia.pescarini1@lshtm.ac.uk.

L S de M Cardoso (LSM)

Programa de Pós-Graduação em Saúde Pública da Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil; Centro de Integração de Dados e Conhecimentos para Saúde (Cidacs), Oswaldo Cruz Foundation, Salvador, Brazil. Electronic address: laissmcardoso@gmail.com.

M Naghavi (M)

University of Washington, Institute for Health Metrics and Evaluation, Seattle, WA, USA. Electronic address: nagham@uw.edu.

D C Malta (DC)

Departamento de Enfermagem Materno Infantil e Saúde Pública, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil. Electronic address: dcmalta@uol.com.br.

Classifications MeSH