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.

Background: The COVID-19 pandemic brought social, economic, and health impacts, requiring fast adaptation of health systems. Although information and communication technologies were essential for achieving this objective, the extent to which health systems incorporated this technology is unknown.Objective: The aim of this study was to map the use of digital health strategies in primary health care worldwide and their impact on quality of care during the COVID-19 pandemic.Methods: We performed a scoping review based on the Joanna Briggs Institute manual and guided by the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses) Extension for Scoping Reviews. A systematic and comprehensive three-step search was performed in June and July 2021 in multidisciplinary health science databases and the gray literature. Data extraction and eligibility were performed by two authors independently and interpreted using thematic analysis.Results: A total of 44 studies were included and six thematic groups were identified: characterization and geographic distribution of studies; nomenclatures of digital strategies adopted; types of information and communication technologies; characteristics of digital strategies in primary health care; impacts on quality of care; and benefits, limitations, and challenges of digital strategies in primary health care. The impacts on organization of quality of care were investigated by the majority of studies, demonstrating the strengthening of (1) continuity of care; (2) economic, social, geographical, time, and cultural accessibility; (3) coordination of care; (4) access; (5) integrality of care; (6) optimization of appointment time; (7) and efficiency. Negative impacts were also observed in the same dimensions, such as reduced access to services and increased inequity and unequal use of services offered, digital exclusion of part of the population, lack of planning for defining the role of professionals, disarticulation of actions with real needs of the population, fragile articulation between remote and face-to-face modalities, and unpreparedness of professionals to meet demands using digital technologies.Conclusions: The results showed the positive and negative impacts of remote strategies on quality of care in primary care and the inability to take advantage of the potential of technologies. This may demonstrate differences in the organization of fast and urgent implementation of digital strategies in primary health care worldwide. Primary health care must strengthen its response capacity, expand the use of information and communication technologies, and manage challenges using scientific evidence since digital health is important and must be integrated into public service.

Background: We aimed to visualize and classify the time series of COVID-19, tuberculosis (TB) notification, and TB outcomes (cure, treatment abandonment, and death), verify the impact of the new coronavirus pandemic on these indices in Brazil, and verify the presence of spatial autocorrelation between COVID-19 and TB. Methods: This was an ecological time series study that considered TB and COVID-19 cases. Seasonal Trend Decomposition using Loess (STL) was used to trace the temporal trend, Prais–Winsten was used to classify the temporal trend, Interrupted Time Series (ITS) was used to verify the impact of COVID-19 on TB rates, and the Bivariate Moran Index (Global and Local) was used to verify the spatial autocorrelation of events. Results: Brazil and its macro-regions showed an increasing temporal trend for the notification of TB in the pre-pandemic period. Only the Northeast Region showed a decreasing temporal trend for cured cases. For treatment abandonment, all regions except for the Northeast showed an increasing temporal trend, and regarding death, Brazil and the Northeast Region showed an increasing temporal trend. With the ITS, COVID-19 caused a decline in TB notification rates and TB outcome rates. With the global spatial analysis, it was possible to identify the existence of spatial autocorrelation between the notification rate of COVID-19 and the TB notification rate and deaths. With the local analysis, it was possible to map the Brazilian municipalities and classify them according to the relationship between the rates of both diseases and space. Conclusions: COVID-19 influenced the follow-up of and adherence to TB treatment and intensified social vulnerability and, consequently, affected the notification of TB since the relationship between the disease and social determinants of health is already known. The restoration and strengthening of essential services for the prevention and detection of cases and treatment of TB in endemic environments such as Brazil have been oriented as a priority in the global health agenda.

Introduction: The objective of this systematic review is to identify tuberculosis (TB) high-risk among the general population globally. The review was conducted using the following steps: elaboration of the research question, search for relevant publications, selection of studies found, data extraction, analysis, and evidence synthesis.Methods: The studies included were those published in English, from original research, presented findings relevant to tuberculosis high-risk across the globe, published between 2017 and 2023, and were based on geospatial analysis of TB. Two reviewers independently selected the articles and were blinded to each other`s comments. The resultant disagreement was resolved by a third blinded reviewer. For bibliographic search, controlled and free vocabularies that address the question to be investigated were used. The searches were carried out on PubMed, LILACS, EMBASE, Scopus, and Web of Science. and Google Scholar.Results: A total of 79 published articles with a 40-year study period between 1982 and 2022 were evaluated. Based on the 79 studies, more than 40% of all countries that have carried out geospatial analysis of TB were from Asia, followed by South America with 23%, Africa had about 15%, and others with 2% and 1%. Various maps were used in the various studies and the most used is the thematic map (32%), rate map (26%), map of temporal tendency (20%), and others like the kernel density map (6%). The characteristics of the high-risk and the factors that affect the hotspot’s location are evident through studies related to poor socioeconomic conditions constituting (39%), followed by high population density (17%), climate-related clustering (15%), high-risk spread to neighbouring cities (13%), unstable and non-random cluster (11%).Conclusion: There exist specific high-risk for TB which are areas that are related to low socioeconomic conditions and spectacular weather conditions, these areas when well-known will be easy targets for intervention by policymakers. We recommend that more studies making use of spatial, temporal, and spatiotemporal analysis be carried out to point out territories and populations that are vulnerable to TB.

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.

Objective to present a critical reflection upon the current and different interpretative models of the Social Determinants of Health and inequalities hindering access and the right to health. Method theoretical study using critical hermeneutics to acquire reconstructive understanding based on a dialectical relationship between the explanation and understanding of interpretative models of the social determinants of health and inequalities. Results interpretative models concerning the topic under study are classified. Three generations of interpretative models of the social determinants of health were identified and historically contextualized. The third and current generation presents a historical synthesis of the previous generations, including: neo-materialist theory, psychosocial theory, the theory of social capital, cultural-behavioral theory and the life course theory. Conclusion From dialectical reflection and social criticism emerge a discussion concerning the complementarity of the models of the social determinants of health and the need for a more comprehensive conception of the determinants to guide inter-sector actions to eradicate inequalities that hinder access to health.