Data de publicação
Setembro de 2024
Periódico
Public Health
Resumo
Objetives – In the American regions, Brazil accounts for 97% of visceral leishmaniasis (VL) cases, with a case fatality rate of approximately 10%. This study aimed to investigate the VL mortality distribution in Brazil and identify high-priority and high-risk areas for intervention strategies.
Study design – This was an ecological study that analysed the spatial–temporal patterns of VL mortality in Brazilian municipalities.
Methods – Age-standardised VL mortality rates from the Global Burden of Disease study from 2001 to 2018 were used. The distribution of mortality in the municipalities was assessed, and subsequently the Local Index of Spatial Autocorrelation (LISA) analysis was conducted to identify contiguous areas with high mortality rates. Scan analysis identified clusters of high spatial–temporal risks.
Results – The highest mortality rates and clusters were in municipalities located in the Northeast region and in the states of Tocantins and Roraima (North region), Mato Grosso do Sul (Central-West region), and Minas Gerais (Southeast region). According to LISA, there was an increase in the number of municipalities classified as high priority from the first 3-year period (n = 434) to the last 3-year period (n = 644). The spatio-temporal analysis identified 21 high-risk clusters for VL mortality.
Conclusions – Areas with a high risk of VL mortality should prioritise preventing transmission, invest in early diagnosis and treatment, and promote the training of healthcare professionals.
DOI/link
https://doi.org/10.1590/S1679-49742021000100017
Autoria
Vínculo institucional
Lattes
Orcid
R. Vieira-Duarte
Graduate Program in Biological Sciences, Centre for Research in Biological Sciences, Universidade Federal de Ouro Preto, Minas Gerais, Brazil
Valdelaine Etelvina Miranda De Araújo
Postgraduate Program in Public Health, School of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil and Ministry of Health, Health Surveillance Secretariat and Environment, Department of Epidemiological Analysis and Surveillance of Noncommunicable Diseases, Brasília, DF, Brazil
Guilherme Augusto Veloso
Mathematics and Statistics Institute – Statistics Department, Universidade Federal Fluminense, Niteroi, Rio de Janeiro, Brazil
Diogo Tavares Cardoso
Parasitology Postgraduate Programme, Institute of Biological Sciences, Universidade Federal de Minas Gerais, Minas Gerais, Brazil
Fabŕıcio Thomaz De Oliveira Ker
Postgraduate Programme in Infectious Diseases and Tropical Medicine, School of Medicine, Universidade Federal de Minas Gerais, Minas Gerais, Brazil
David Soeiro Barbosa
Parasitology Postgraduate Programme, Institute of Biological Sciences, Universidade Federal de Minas Gerais, Minas Gerais, Brazil and Postgraduate Programme in Infectious Diseases and Tropical Medicine, School of Medicine, Universidade Federal de Minas Gerais, Minas Gerais, Brazil
Deborah Carvalho Malta
Department of Maternal-Infant Nursing and Public Health, School of Nursing, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
Mohsen Naghavi
Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
Mariângela Carneiro
Parasitology Postgraduate Programme, Institute of Biological Sciences, Universidade Federal de Minas Gerais, Minas Gerais, Brazil and Postgraduate Programme in Infectious Diseases and Tropical Medicine, School of Medicine, Universidade Federal de Minas Gerais, Minas Gerais, Brazil
Wendel Coura-Vital
Graduate Program in Biological Sciences, Centre for Research in Biological Sciences, Universidade Federal de Ouro Preto, Minas Gerais, Brazil and Postgraduate Programme in Pharmaceutical Sciences, School of Pharmacy, Universidade Federal de Ouro Preto, Minas Gerais, Brazil