A imunização é reconhecida como uma das intervenções mais bem-sucedidas e custo-efetivas, resultando na erradicação e no controle de diversas doenças em todo o mundo. Todavia, uma preocupante redução na cobertura vacinal tem sido observada no Brasil, trazendo o recrudescimento de algumas doenças até então superadas. Dessa forma, no intuito de realizar um diagnóstico situacional que pondere as diferentes regiões do país e a tendência temporal de cobertura vacinal, o presente estudo teve o objetivo de evidenciar áreas com queda da cobertura vacinal de BCG, poliomielite e tríplice viral no Brasil por meio de um estudo ecológico que coletou informações acerca do número crianças de até um ano de idade imunizadas para essas três vacinas, no período entre 2006 e 2016, por município brasileiro. Os dados foram adquiridos por meio do Departamento de Informática do SUS. Foi realizada uma varredura espacial, analisando as variações espaciais nas tendências temporais de cobertura vacinal. Foi observada uma tendência de redução no número de imunizações no Brasil, com quedas de 0,9%, 1,3% e 2,7% ao ano para BCG, poliomielite e tríplice viral, respectivamente. Ademais, aglomerados significativos com tendências temporais de redução da cobertura vacinal foram verificados em todas as cinco regiões brasileiras. O estudo evidencia uma importante redução na cobertura vacinal nos últimos anos, constatando heterogeneidades consideráveis entre os municípios. Dessa forma, uma atenção singular e planejamento estratégico condizente com as características de cada localidade são necessários para o controle tanto da redução de cobertura vacinal como do reaparecimento de doenças no Brasil.

Os sistemas de saúde, organizados em Redes de Atenção e coordenados pela Atenção Primária à Saúde, podem contribuir para a qualidade clínica, com resultados sanitários de impacto positivo, na satisfação dos usuários (pela melhoria do acesso e resolubilidade) e na redução dos gastos dos sistemas locais de saúde. Dessa forma, propôs-se analisar a produção científica acerca das evidências, potencialidades, desafios e perspectivas da Atenção Primária à Saúde na coordenação das Redes de Atenção. Para atingir o objetivo, definiu-se como método a revisão integrativa, considerando o período temporal de 2000 a 2011. As bases de dados selecionadas foram Medline (Medical Literature Analysis and Retrieval Sistem on-line), Lilacs (Literatura Latino-Americana em Ciências de Saúde) e SciELO (Scientific Electronic Library Online). Atenderam aos critérios de seleção 18 artigos. Pode-se observar que as potencialidades acerca dos serviços de Atenção Primária se sobressaíram às fragilidades. Contudo, destaca-se a necessidade de pesquisas com maior nível de classificação das evidências científicas sobre a atuação da Atenção Primária à Saúde na coordenação das Redes de Atenção.

Although the detection rate is decreasing, the proportion of new cases with WHO grade 2 disability (G2D) is increasing, creating concern among policy makers and the Brazilian government. This study aimed to identify spatial clustering of leprosy and classify high-risk areas in a major leprosy cluster using the SatScan method. Data were obtained including all leprosy cases diagnosed between January 2006 and December 2013. In addition to the clinical variable, information was also gathered regarding the G2D of the patient at diagnosis and after treatment. The Scan Spatial statistic test, developed by Kulldorff e Nagarwalla, was used to identify spatial clustering and to measure the local risk (Relative Risk—RR) of leprosy. Maps considering these risks and their confidence intervals were constructed. A total of 434 cases were identified, including 188 (43.31%) borderline leprosy and 101 (23.28%) lepromatous leprosy cases. There was a predominance of males, with ages ranging from 15 to 59 years, and 51 patients (11.75%) presented G2D. Two significant spatial clusters and three significant spatial-temporal clusters were also observed. The main spatial cluster (p = 0.000) contained 90 census tracts, a population of approximately 58,438 inhabitants, detection rate of 22.6 cases per 100,000 people and RR of approximately 3.41 (95%CI = 2.721–4.267). Regarding the spatial-temporal clusters, two clusters were observed, with RR ranging between 24.35 (95%CI = 11.133–52.984) and 15.24 (95%CI = 10.114–22.919). These findings could contribute to improvements in policies and programming, aiming for the eradication of leprosy in Brazil. The Spatial Scan statistic test was found to be an interesting resource for health managers and healthcare professionals to map the vulnerability of areas in terms of leprosy transmission risk and areas of underreporting. Brazil has still not achieved the goal of leprosy elimination established by the World Health Organization. The diagnosis and treatment of leprosy are available and the country is striving to fully integrate leprosy services into the existing general health services. Access to information, diagnosis and treatment with multidrug therapy (MDT) remain key elements in the strategy to eliminate the disease as a public health problem, defined as reaching a prevalence of less than 1 leprosy case per 10,000 inhabitants. Thus, this study aimed to identify spatial clustering of leprosy and to classify high-risk areas in a major leprosy cluster. A total of 434 cases were identified, with 188 (43.31%) being of borderline leprosy and 101 (23.28%) lepromatous leprosy. There was a predominance of males, with ages ranging from 15 to 59 years, and 51 patients (11.75%) presented G2D. Two significant spatial clusters and three significant spatial-temporal clusters were also observed. These results can assist health services and policy makers to improve the health conditions of the Brazilian population, advancing towards the goal of elimination in Brazil.

Brazil is the only country in Latin America that has adopted a national health system. This causes differences in access to health among Latin American countries and induces noticeable migration to Brazilian regions to seek healthcare. This phenomenon has led to difficulties in the control and elimination of diseases related to poverty, such as leprosy. The aim of this study was to evaluate social determinants and their relationship with the risk of leprosy, as well as to examine the temporal trend of its occurrence in a Brazilian municipality located on the tri-border area between Brazil, Paraguay and Argentina. This ecological study investigated newly-diagnosed cases of leprosy between 2003 and 2015. Exploratory analysis of the data was performed through descriptive statistics. For spatial analysis, geocoding of the data was performed using spatial scan statistic techniques to obtain the Relative Risk (RR) for each census tract, with their respective 95% confidence intervals calculated. The Bivariate Moran I test, Ordinary Least Squares (OLS) and Geographically Weighted Regression (GWR) models were applied to analyze the spatial relationships of social determinants and leprosy risk. The temporal trend of the annual coefficient of new cases was obtained through the Prais-Winsten regression. A standard error of 5% was considered statistically significant (p < 0.05). Of the 840 new cases identified in the study, there was a predominance of females (n = 427, 50.8%), of white race/color (n = 685, 81.6%), age range 15 to 59 years (n = 624, 74.3%), and incomplete elementary education (n = 504, 60.0%). The results obtained from multivariate analysis revealed that the proportion of households with monthly nominal household income per capita greater than 1 minimum wage (β = 0.025, p = 0.036) and people of brown race (β = -0.101, p = 0.024) were statistically-significantly associated with risk of illness due to leprosy. These results also confirmed that social determinants and risk of leprosy were significantly spatially non-stationary. Regarding the temporal trend, a decrease of 4% (95% CI [-0.053, -0.033], p = 0.000) per year was observed in the rate of detection of new cases of leprosy. The social determinants income and race/color were associated with the risk of leprosy. The study’s highlighting of these social determinants can contribute to the development of public policies directed toward the elimination of leprosy in the border region. The World Health Organization considers Brazil to be a priority country for the control of leprosy. This is determined by the high rates of prevalence, detection of new cases and proportion of cases in females, proportion of cases in children, and people with degree of incapacity II. Moreover, Brazil has been unable to achieve the target of one case per 10,000 inhabitants, despite efforts to eliminate the disease. Elimination and control become even more complex challenges in border regions if we consider the heavy flow of people between countries and the resulting overload for the local health system. Thus, this study aimed to identify the risk of leprosy and its social determinants, as well as to investigate the temporal trend of the disease in a region with a triple border, connecting Brazil, Paraguay and Argentina. We identified 840 new cases in the study; there was a predominance of women (n = 427, 50.8%), of white race/color (n = 685, 81.6%), age range 15 to 59 years (n = 624, 74.3%), with incomplete elementary education (n = 504, 60.0%). The social determinants income and race/color were associated with the risk of leprosy. The results may contribute to the planning of actions in health for border regions.

Objective: to analyze how the social isolation measures and closed borders affected the health and economy in an international border region. Method: descriptive cross-sectional study conducted in the western region of Paraná, Brazil, using an electronic form created using Google® forms. A sample of 2,510 people was addressed. Descriptive analysis and the Chi-square test were performed, with a level of significance established at 5%. This public opinion survey, addressing unidentified participants, is in accordance with Resolutions 466/2012 and 510/2016. Results: the participants were 41.5 years old on average, most were women and worked in the education sector; 41.9% reported that the closing of borders/commercial businesses negatively influenced income; 17.7% reported the possibility of losing their jobs; 89.0% consider that a larger number of people would be sick if the borders/commercial had not been closed; 63.7% believe the health services are not prepared to deal with the pandemic; 74.9% realize that the Brazilian Unified Health System may not have sufficient service capacity; 63.4% reported anxiety; and 75.6% of commercial workers will experience changes in their income level. Conclusion: the closing of international borders and commercial businesses was related to a perception of physical and mental changes, job loss, and decreased income.