Objective: To characterize the temporal trend and spatial behavior of leprosy in Brazil, from 2011 to 2021.

Methods: This is an ecological study, with data from the Notifiable Diseases Information System, obtained in June 2022. The annual detection rate of new leprosy cases per 100 thousand inhabitants was calculated. To estimate the trend of the 2011-2019 and 2011-2021 series, the polynomial regression model was used, testing first-, second-, and third-order polynomials. For spatiality, natural breaks were used and, later, the univariate global and local Moran's indexes. A significance level of 5% was adopted and the analyses were performed using SPSS®, GeoDa®, and QGIS® software.

Results: The findings indicated an upward trend in the incidence of leprosy in Brazilian regions and in 20 federative units between 2011 and 2019. However, there was a decrease in most of the country when considering the COVID-19 pandemic years. Spatiality showed that the highest detection rates throughout the period were observed in the North, Midwest, and Northeast regions, with high-risk clusters, and the lowest detection rates in the South and Southeast regions, with low-risk clusters.

Conclusion: The leprosy detection rate showed an upward trend in Brazil between 2011 and 2019, with greater spatial concentration in the North, Northeast, and Midwest regions. Nevertheless, the study raises an alert for the programmatic sustainability of leprosy control in Brazil, considering the drop in the COVID-19 pandemic, presumably due to the influence of the reorganization of the development of initiatives and provision of services in face of COVID-19.

Download full-text PDF

Source
http://dx.doi.org/10.1590/1980-549720220040DOI Listing

Publication Analysis

Top Keywords

temporal trend
8
leprosy brazil
8
ecological study
8
brazil 2011
8
detection rate
8
upward trend
8
2011 2019
8
covid-19 pandemic
8
detection rates
8
leprosy
6

Similar Publications

As one of the provinces with the largest number of national forest cities, all prefecture-level cities in Guangdong Province have joined the campaigns of building forest cities. Mastering the spatial and temporal variations of ecological environment quality (EEQ) in Guangdong Province is conducive to the benign interaction and coordinated development of urban construction and ecosystem. We used the water benefit-based ecological index (WBEI) to achieve rapid monitoring of EEQ in Guangdong Province, utilized the standard deviation ellipse and gravity center migration, Theil-Sen Median trend method and Mann-Kendall test to explore the spatial distribution disparities and trends, and analyzed the coupling coordination between EEQ and urbanization.

View Article and Find Full Text PDF

Background: Colorectal cancer (CRC) incidence and mortality in those aged 50 years and above have decreased over the last 2 decades. However, there is a rising incidence in CRC among individuals under 50 years of age, termed early-onset colorectal cancer (EOCRC). EOCRC patients are more advanced stage at diagnosis and may suffer more psychosocial, emotional and financial distress.

View Article and Find Full Text PDF

The Impact of Public Health and Social Measures (PHSMs) on SARS-CoV-2 Transmission in the WHO European Region (2020-2022).

Influenza Other Respir Viruses

December 2024

Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.

Background: Between 2020 and 2022, countries used a range of different public health and social measures (PHSMs) to reduce the transmission of SARS-CoV-2. The impact of these PHSMs varied as the pandemic progressed, variants of concern (VOCs) emerged, vaccines rolled out and acceptance/uptake rates evolved. In this study, we assessed the impact of PHSMs in the World Health Organization (WHO) European Region during VOC phases.

View Article and Find Full Text PDF

As the primary power source for electric vehicles, the accurate estimation of the State of Health (SOH) of lithium-ion batteries is crucial for ensuring the reliable operation of the power system. Long Short-Term Memory (LSTM), a special type of recurrent neural network, achieves sequence information estimation through a gating mechanism. However, traditional LSTM-based SOH estimation methods do not account for the fact that the degradation sequence of battery SOH exhibits trend-like nonlinearity and significant dynamic variations between samples.

View Article and Find Full Text PDF

Spatiotemporal heterogeneity of Rhipicephalus microplus resistance to chemical acaricides at intra-farm level: A case study using ivermectin.

Med Vet Entomol

December 2024

Instituto de Investigación de la Cadena Láctea (IdICaL) (INTA-CONICET), Instituto Nacional de Tecnología Agropecuaria, INTA E.E.A. Rafaela, Rafaela, Argentina.

The aim of this work was to analyse the spatiotemporal heterogeneity of Rhipicephalus microplus (Canestrini, 1888) (Acari: Ixodidae) resistance to chemical acaricides at intra-farm level under different environmental (favourable and unfavourable areas for tick development) and management (different schemes of acaricides applications) conditions using ivermectin as a model. The in vitro larval immersion test (LIT) was used to determine quantitatively the levels of resistance to ivermectin in the different populations and subpopulations of R. microplus analysed.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!