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

Data de publicação

Novembro de 2024

Periódico

Public Health

Resumo

Objetives – 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.

Study design – A descriptive and analytical ecological epidemiological study.

Methods – 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.

Results – 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).

Conclusions – 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.

DOI/link

https://doi.org/10.1590/S1679-49742021000100017

Autoria

Vínculo institucional

Lattes

Orcid

Valdelaine Etelvina Miranda De Araújo

Programa de Pós-Graduação em Saúde Pública da Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil

Guilherme Augusto Veloso

Departamento de Estatística, Instituto de Matemática e Estatística, Universidade Federal Fluminense, Niterói, Rio de Janeiro, Brazil

Ligia Regina Franco Sansigolo Kerr

Universidade Federal do Ceará, Fortaleza, Ceará, Brazil

Júlia Moreira Pescarini

Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom and Centro de Integração de Dados e Conhecimentos para Saúde (Cidacs), Oswaldo Cruz Foundation, Salvador, Brazil

Lais Santos de Magalhaes Cardoso

Programa de Pós-Graduação em Saúde Pública da Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil and Centro de Integração de Dados e Conhecimentos para Saúde (Cidacs), Oswaldo Cruz Foundation, Salvador, Brazil

Mohsen Naghavi

University of Washington, Institute for Health Metrics and Evaluation, Seattle, WA, USA

Deborah Carvalho Malta

Departamento de Enfermagem Materno Infantil e Saúde Pública, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil