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Background: Human activities, such as urbanization and climate change, have facilitated the spread of arbovirus-carrying vectors, disproportionately affecting vulnerable traditional Indigenous communities. Objective: To explore the relationships between subclinical myocardial dysfunction, assessed by global longitudinal strain (GLS), and comprehensive arbovirus serology in an Indigenous population, while also describing the serological and epidemiological profile of dengue, chikungunya, and Zika viruses. Methods: This ancillary study is part of the first phase (2016–2017) of the Project of Atherosclerosis among Indigenous Populations (PAI), a cross-sectional study involving participants from two Indigenous communities with different degrees of urbanization and a highly urbanized city in Northeast Brazil. We assessed the seroprevalence of dengue, chikungunya, and Zika viruses in the Fulni-ô Indigenous community, the less urbanized and most traditional group. Additionally, we explored the relationship between these viruses and subclinical heart disease, assessed by speckle-tracking echocardiography-derived GLS. Results: One hundred seventy-four participants were included, with a median age of 45.0 years (interquartile range 38.0–55.0). The majority were female (58.6%; n = 102). The prevalence of anti-ZIKV IgG was 95.3%; anti-DENV IgG was 85.8%, and anti-CHIKV IgG was 70.9%. GLS abnormalities were detected in nearly half (48.3%) of the cohort. However, no significant association was found between arbovirus serology and GLS. Conclusions: The findings reveal a high prevalence of positive serology for arboviruses and a significant rate of subclinical cardiac dysfunction. There was no significant association between reduced left ventricular longitudinal strain and positive arbovirus serology, likely due to the limited number of participants with indications of acute contact with the viruses studied. However, the unprecedented and relevant results of this study are noteworthy, as they address critical public health issues, particularly in vulnerable populations. Further research is needed to explore these findings in more depth. [ABSTRACT FROM AUTHOR]

Background: Previne Brasil is a new way of financing Primary Health Care (PHC) in Brazil that places users of public health services at the center of the system's analysis and attention through the use of seven performance indicators. This study aims to analyze the performance of Primary Health Care in Brazil under the new financing model (Previne Brasil) in the period from the first four months of 2022 to the first four months of 2023. Methods: This is a territorial ecological study using secondary data from the Primary Care Health Information System (SISAB). Seven performance indicators were included and analyzed according to Brazil, its regions, states and capitals. A comparative descriptive analysis was carried out between the spatial units. Results: Of the seven indicators analyzed, only one (Proportion of pregnant women tested for syphilis and HIV) reached the proposed target considering the average of the four-month periods evaluated (target: 60%; Observed: 62.5%). The Northeast was the region with the best performance, surpassing the target in three of the seven indicators (prenatal consultations, tests for syphilis and HIV in pregnant women and dental care for pregnant women). The states and capitals showed progressive improvement in the performance indicators over the four quarters analyzed, although unevenly between the indicators. The indicators related to hypertension and diabetes were the worst. The Final Synthetic Indicator (FSI) showed an increase in the median over the four quarters (4.78; 5.65; 6.02 6.29), which represents an increase of 1.51 in the indicator between the first four months of 2022 and the first four months of 2023. Conclusion: Although there have been improvements in the performance of Primary Health Care in Brazil, the achievement of the agreed targets for the indicators seems a long way off. The socio-spatial inequalities in the indicators reflect the country's health complexity and reinforce the need for policies that take into account the local-regional context. [ABSTRACT FROM AUTHOR]

Background: Pentraxin 3 (PTX3) is an acute-phase protein that belongs to the pentraxin family, which plays an important role in the body's defense against pathogens. PTX3 levels have been associated with inflammatory processes, and it is a possible biomarker for the diagnosis and prognosis of different infectious diseases, including COVID-19. The objective of this study was to analyze the potential of PTX3 as a plasma biomarker for predicting death in patients hospitalized with COVID-19. Methods: The study included a total of 312 patients with COVID-19, admitted from July 2020 to August 2021 to hospital ward and intensive care unit beds at two hospitals in the Northeast Region of Brazil. PTX3 was measured using ELISA in samples collected within 24 h after hospital admission. Maximally selected rank statistics were used to determine the PTX3 cutoff point that best distinguished patients who died from those who survived. A receiver operating characteristic (ROC) curve was used to determine the performance of the biomarker. Survival analysis was performed using a Kaplan-Meier curve, and a Cox regression model was used to determine predictors associated with death. Results: Of the 312 patients included in the study, 233 recovered and 79 died. Patients who died had higher PTX3 levels at the time of admission, when compared to those who recovered (median: 52.84 versus 10.79 ng/mL; p < 0.001). PTX3 showed area under the ROC (AUC) = 0.834, higher than other markers used in clinical practice, such as C-reactive protein (AUC = 0.72) and D-dimer (AUC = 0.77). Furthermore, according to the Kaplan-Meier survival curve, patients with PTX3 concentrations above the cutoff point (27.3 ng/mL) had a lower survival rate (p = 0.014). In multivariate Cox regression, PTX3 > 27.3 ng/mL was an important predictor of death, regardless of other confounding factors (hazard ratio = 1.79; p = 0.027). Conclusion: PTX3 can be considered as a potential biomarker for predicting death in patients hospitalized with COVID-19. [ABSTRACT FROM AUTHOR]

Brazil is a country with great agricultural production and this economic activity is rising in the last decade. Thus, we have observed an increase in the number of rural workers and also in the growth of pesticide poisoning cases. An epidemiological study, ecological, observational and retrospective was conducted using the population of cases of exogenous pesticide poisoning occurred / reported in agricultural workers, livestock and related services in the state of Bahia, in the period between 2007 and 2011. It was reported 696 occurrences in agricultural workers, livestock and related services in Bahia, with a concentration of cases in the North and West of state. The most affected public is composed of men aged 20-49 years. There was a trend for lower education. Suicide had led the causes of poisoning by pesticides. Noteworthy that exposure occurred both in the workplace and in homes (40.1% each), with clinical evolving to cure without sequelae. It was concluded that, during the study period, despite the increase in the number of places offered in the agriculture sector in Bahia, there was, comparatively, higher growth notifications exogenous poisonings pesticide (84%) in the number of jobs (18 %). Failures in the records of the information was an element that stood out, often, damaging epidemiological analyzes of this disease. [ABSTRACT FROM AUTHOR]

Background: Coronavirus disease 2019 (COVID-19) was confirmed in Brazil in February 2020. Since then, the disease has spread throughout the country, reaching the poorest areas. This study analyzes the relationship between COVID-19 and the population's living conditions. We aimed to identify social determinants related to the incidence, mortality, and case fatality rate of COVID-19 in Brazil, in 2020. Methods: This is an ecological study evaluating the relationship between COVID-19 incidence, mortality, and case fatality rates and 49 social indicators of human development and social vulnerability. For the analysis, bivariate spatial correlation and multivariate and spatial regression models (spatial lag model and spatial error models) were used, considering a 95% confidence interval and a significance level of 5%. Results: A total of 44.8% of municipalities registered confirmed cases of COVID-19 and 14.7% had deaths. We observed that 56.2% of municipalities with confirmed cases had very low human development (COVID-19 incidence rate: 59.00/100 000; mortality rate: 36.75/1 000 000), and 52.8% had very high vulnerability (COVID-19 incidence rate: 41.68/100 000; mortality rate: 27.46/1 000 000). The regression model showed 17 indicators associated with transmission of COVID-19 in Brazil. Conclusions: Although COVID-19 first arrived in the most developed and least vulnerable municipalities in Brazil, it has already reached locations that are farther from large urban centers, whose populations are exposed to a context of intense social vulnerability. Based on these findings, it is necessary to adopt measures that take local social aspects into account in order to contain the pandemic. [ABSTRACT FROM AUTHOR]

Background: The death of women as a result of violent crime has become a major social and health problem worldwide. Most of these crimes are committed by their partners. The Covid-19 pandemic seems to have amplified the problem, given that measures to contain the spread of the disease have exposed women to more prolonged contact with their aggressors. Objective: To describe the epidemiological profile of lethal and intentional violent crimes committed against women in the state of Alagoas, Brazil, from March 2018 to February 2020 (before the pandemic) and from March 2020 to December 2021 (during the first two years of the Covid-19 pandemic). Methods: This is an observational study involving all deaths of women due to lethal and intentional violent crimes. The data was obtained from the Alagoas State Secretariat for Public Security. The variables age, type of crime, means used, day of the week and time of the crime were analyzed. The specific mortality rate was calculated for the entire study period. Population data was obtained from the Brazilian Institute of Geography and Statistics (IBGE). Descriptive statistics were used to analyze the data. Results: There were 316 deaths during the study period. The mortality rate in 2020 (5.33/100,000) was higher than in the years prior to the pandemic (3.88/100,000 in 2018 and 4.84/100,000 in 2019). There was a predominance of the 18–29 (31.31%) and 30–39 (27.95%) age groups in both periods. The proportion of female homicides was 55.19% in the pre-pandemic period and 64.20% in the pandemic period. The proportion of beating deaths was 1.7 times higher in the pandemic period than in the non-pandemic period (15.23% vs. 8.97%). There was also an increase in beatings on Saturdays, with a proportion 1.60 times higher than in the pre-pandemic period (19.75% vs. 12.34%). Conclusion: The victims were predominantly young women, the crimes classified as homicides and with the use of firearms. The study emphasizes that the context of the Covid-19 pandemic may have contributed to the increase in violent crimes against women in Alagoas, highlighting the urgency of preventive measures and support for victims. [ABSTRACT FROM AUTHOR]

Background: Human immunodeficiency virus (HIV) infection is a health problem in Brazil and worldwide. Without treatment, the infection can progress to Acquired Immunodeficiency Syndrome (AIDS), with a high mortality potential. The objective of this study was to analyze the time trend of AIDS mortality in Brazil, macro-regions, federal units and their respective capitals, from 2012 to 2022. Methods: This is a time-series study of all AIDS deaths in Brazil from 2012 to 2022. The study included the annual number of deaths and the crude and standardized mortality rates. The Joinpoint regression model was used for the time analysis of the standardized rates. Annual percentage change (APC) and average annual percentage change (AAPC) were calculated. A 95% confidence interval (CI) and a 5% significance level were used. Results: During the period analyzed, 128,678 AIDS deaths were recorded in Brazil, with a crude mortality rate of 6.3/100,000 and a standardized mortality rate of 5.3/100,000. From 2012 to 2020, three regions showed a declining trend in AIDS mortality: Central-West (AAPC − 2.3%; 95%CI -4.3 to -0.21; p = 0.03), Southeast (AAPC − 5.6%; 95%CI -6.8 to -4.0; p < 0.001), and South (AAPC − 4.4%; 95%CI -5.27 to -3.6; p < 0.001). There was also a downward trend in 10 states and 10 capitals. There was an increase in the number of deaths from 2020 onwards in the North, Northeast and Southeast regions compared to 2019. Conclusion: There was a downward trend in AIDS mortality from 2012 to 2020 and an upward trend from 2020 to 2022. The regional differences observed could reflect the social disparities that exist in Brazil. In addition, the Covid-19 pandemic has had an impact on the process of dealing with HIV in Brazil. [ABSTRACT FROM AUTHOR]

OBJECTIVES: To analyse and map the leprosy risk areas in the state of Alagoas, an endemic region in the Northeastern Brazil, between 2001 and 2019. METHODS: Ecological and time series study, using spatial analysis techniques. First, we analyse the epidemiological aspects of leprosy cases, using the data available in the Notifiable Diseases Information System; then, we used the segmented log‐linear regression model to assess time trends. Spatial distribution was analysed by the Local Empirical Bayesian Estimator and by calculating the Global and Local Moran Index. Finally, spatiotemporal clusters were identified through scanning statistics, using the Kulldorf method of retrospective analysis. RESULTS: We observed that Alagoas showed an average new case detection rate of 14.43/100,000 inhabitants between 2001 and 2019, being classified as highly endemic. The area of highest risk was the 9th health region (state hinterland), with increasing time trend (Annual Percentage Change/APC = 7.2; p‐value < 0.05). Several clusters of high risk of leprosy transmission were verified in Alagoas, including the state capital and hinterland municipalities. CONCLUSIONS: Our data indicate that active M. leprae transmission persists in Alagoas; that diagnosis is delayed and that there are high‐risk areas, especially in inland municipalities. [ABSTRACT FROM AUTHOR]

Background: Pentraxin 3 (PTX3) is a soluble pattern recognition receptor that plays a crucial role in modulating the inflammatory response and activating the complement system. Additionally, plasma PTX3 has emerged as a potential biomarker for various infectious diseases. The aim of this study was to evaluate the association of PTX3 gene polymorphisms and PTX3 plasma levels with susceptibility to leprosy and clinical characteristics. Methods: Patients with leprosy from a hyperendemic area in the Northeast Region of Brazil were included. Healthy household contacts and healthy blood donors from the same geographical area were recruited as a control group. The rs1840680 and rs2305619 polymorphisms of PTX3 were determined by real-time PCR. Plasma levels of PTX3 were determined by ELISA. Results: A total of 512 individuals were included. Of these, 273 were patients diagnosed with leprosy; 53 were household contacts, and 186 were healthy blood donors. No association was observed between PTX3 polymorphisms and susceptibility to leprosy or development of leprosy reaction or physical disability. On the other hand, plasma levels of PTX3 were significantly higher in patients with leprosy when compared to household contacts (p = 0.003) or blood donors (p = 0.04). It was also observed that PTX3 levels drop significantly after multidrug therapy (p < 0.0001). Conclusions: Our results suggest that PTX3 may play an important role in the pathogenesis of leprosy and point to the potential use of this molecule as an infection marker. [ABSTRACT FROM AUTHOR]

During the COVID-19 pandemic, a reduction in vaccination coverage of children and adolescents was observed in several countries. The aim of this study was to assess the impact of the pandemic, in the first two years, on human rotavirus vaccine (HRV) coverage in Brazil compared with previous years. The number of doses of HRV administered in the period from January 2015 to December 2021 and its annual vaccination coverage were analyzed. The vaccination coverage decreased to 77.3% in 2020 and to 70.4% in 2021, substantially lower than the minimum that would be expected (89.2%); the decline was more pronounced in the second year of the pandemic despite the fact that in this period, the circulation restrictions were already less tight. Of the five Brazilian macro-regions, the northeast had the largest decline, and the south had the smallest impact on coverage. At the municipal level, less than half of the Brazilian municipalities managed to achieve vaccination coverage above 90% in either pandemic year. Although there was already a downward trend in coverage in the pre-pandemic years, the present study shows that the values recorded in 2020 and 2021 were significantly lower. Monitoring of vaccination coverage in the coming years should be carried out continuously in order to avoid a possible resurgence of rotavirus-induced diarrhea. [ABSTRACT FROM AUTHOR]

Introduction: Tuberculosis is one of the ten leading causes of death and the leading infectious cause worldwide. The disease represents a challenge to health systems around the world. In 2018, it is estimated that 10 million people were affected by tuberculosis, and approximately 1.5 million people died due to the disease worldwide, including 251,000 patients coinfected with HIV. In Brazil, the disease caused 4,490 deaths, with rate of 2.2 deaths per 100,000 inhabitants. The objective of this study was to analyze the time behavior, spatial, spatial-temporal distribution, and the effects of social vulnerability on the incidence of TB in Brazil during the period from 2001 to 2017. Materials and methods: A spatial-temporal ecological study was conducted, including all new cases of tuberculosis registered in Brazil during the period from 2001 to 2017. The following variables were analyzed: incidence rate of tuberculosis, the Social Vulnerability Index, its subindices, its 16 indicators, and an additional 14 variables available on the Atlas of Social Vulnerability. The statistical treatment of the data consisted of the following three stages: a) time trend analysis with a joinpoint regression model; b) spatial analysis and identification of risk areas based on smoothing of the incidence rate by local empirical Bayesian model, application of global and local Moran statistics, and, finally, spatial-temporal scan statistics; and c) analysis of association between the incidence rate and the indicators of social vulnerability. Results: Brazil reduced the incidence of tuberculosis from 42.8 per 100,000 to 35.2 per 100,000 between 2001 and 2017. Only the state of Minas Gerais showed an increasing trend, whereas nine other states showed a stationary trend. A total of 326 Brazilian municipalities were classified as high priority, and 22 high-risk spatial-temporal clusters were identified. The overall Social Vulnerability Index and the subindices of Human Capital and Income and Work were associated with the incidence of tuberculosis. It was also observed that the incidence rates were greater in municipalities with greater social vulnerability. Conclusions: This study identified clusters with high risk of TB in Brazil. A significant association was observed between the incidence rate of TB and the indices of social vulnerability. [ABSTRACT FROM AUTHOR]

Background: The 69th World Health Assembly approved the Global Health Sector Strategy to eliminate hepatitis C virus (HCV) infection by 2030. In Brazil, efforts have been undertaken to achieve this goal; there are, however, great challenges. It is important to understand the disease profile in different regions of the country in order to design strategies to fight the disease nationwide. The objective of this study was to analyse the time trend of the incidence and mortality of hepatitis C in Brazil during the period from 2008 to 2018 according to sociodemographic and clinical characteristics.Methods: All newly diagnosed cases of hepatitis C reported between 2008 and 2018, in all regions of Brazil, were included. The indicators were obtained from the databases of the Brazilian Ministry of Health. For the time series analysis, a joinpoint regression model was used.Results: Between 2008 and 2018, 136,759 newly diagnosed cases of hepatitis C were reported considering anti-HCV and HCV RNA positivity, and 271,624 newly diagnosed cases were reported considering one or another positive test. The majority of the records were concentrated in the Southeast (61%) and South (26.2%) Regions. The joinpoint regression model indicated an increasing trend in the detection rate of hepatitis C in Brazil, but there was a decreasing trend in the mortality rate during the period analysed.Conclusions: Differences were observed in the time trend of hepatitis C and in the sociodemographic and clinical characteristics in different regions of Brazil. These data can provide support to design strategies for the elimination of hepatitis C in Brazil, according to regional particularities. [ABSTRACT FROM AUTHOR]

Tuberculosis verrucosa cutis is a rare clinical form of cutaneous tuberculosis resulting from the inoculation of I Mycobacterium tuberculosis i into the skin of previously infected patients.3,5 We described here an unusual case of cutaneous tuberculosis in a patient without comorbidities or immunosuppressive conditions, contrasting the apparent initial conditioning of the manifestation of tuberculosis only in these cases. Usually, these tests are only offered to municipalities previously selected by epidemiological and operational criteria.1,2 In the present report, the diagnosis was made based on histopathological evaluation, in which the presence of alcohol-acid-resistant bacilli and characteristic findings of cutaneous tuberculosis (tuberculosis verrucosa cutis) were observed. [Extracted from the article]

Objectives: to analyze the epidemiological profile and the spatial-temporal dynamics on maternal mortality in Alagoas and its relationship with social vulnerability and income inequality. Methods: a mixed ecological study involving maternal deaths who resided in Alagoas from 1996 to 2016. Sociodemographic variables (age, race/color, education, marital status), clinical (type of obstetric cause, death by category and ICD group) were analyzed, besides the indicators (Maternal Mortality Ratio- MMR, Social Vulnerability Index and Gini Index). For the temporal analysis, we used the inflection point regression model and for the spatial analysis, the local empirical Bayesian model, Moran Global and Local statistics, and the bivariate local spatial autocorrelation analysis. Results: a total of 586 deaths (47.63/100 thousand live births) were registered, with a trend of MMR growth (APC 2.8%), with a heterogeneous distribution between health regions and cities. The profile was characterized by the predominance of young, black / mixed skin color women with low schooling. Eight cities were considered priority. There was spatial correlation with the Social Vulnerability Index and income inequality. Conclusions: identifying priority areas may contribute to planning and targeting interventions. [ABSTRACT FROM AUTHOR]

This study showed a spatial association between COVID-19 and poor living conditions in a population in Northeast Brazil. The case fatality rate was 1.42 times higher in the municipalities with very high social deprivation. Priority municipalities have been identified for intervention by the public authorities. [ABSTRACT FROM AUTHOR]

Leprosy is an infectious disease that may present different clinical forms depending on host immune response to Mycobacterium leprae. Mannose-binding lectin (MBL) is an acute phase protein associated with the pathophysiology of leprosy. Some studies have shown that there is a correlation between serum levels of MBL and polymorphisms in its gene associated with susceptibility per se and to different clinical forms. The aim of this study was to conduct a systematic review of publications in the literature that studied the association of MBL with leprosy. Databases were searched until December 2020 (PROSPERO: CRD42020158458), and additional searches were conducted scanning the reference lists of the articles. Two independent reviewers assessed the study quality using the Newcastle-Ottawa Quality Assessment Scale. Finally, 10 eligible articles were included in the study. The overall results indicated that both low MBL serum levels and polymorphisms in the structural or promoter region of its gene seem to be associated as protective factors against the development of severe forms. The results suggest that MBL may play a role in the clinical progression of leprosy. • Evidence has shown that MBL could facilitate the ingestion and spread of intracellular pathogens through C3 opsonization • Genetic polymorphisms associated to low MBL serum levels can be advantageous in some situations. • The findings suggest that MBL2 variants may act as a protective factor for the development of multibacillary leprosy; [ABSTRACT FROM AUTHOR]

Background: Dengue fever is an arthropod-borne viral disease caused by dengue virus (DENV) and transmitted by Aedes mosquitoes. The Northeast region of Brazil is characterized by having one of the highest dengue rates in the country, in addition to being considered the poorest region. Here, we aimed to identify spatial clusters with the highest dengue risk, as well as to analyze the temporal behavior of the incidence rate and the effects of social determinants on the disease transmission dynamic in Northeastern Brazil. Methods: This is an ecological study carried out with all confirmed cases of dengue in the Northeast Brazil between 2014 and 2017. Data were extracted from the National Notifiable Diseases Information System (SINAN) and the Brazilian Institute of Geography and Statistics (IBGE). Local empirical Bayesian model, Moran statistics and spatial scan statistics were applied. The association between dengue incidence rate and social determinants was tested using Moran's bivariate correlation. Results: A total of 509 261 cases of dengue were confirmed in the Northeast during the study period, 53.41% of them were concentrated in Pernambuco and Ceará states. Spatial analysis showed a heterogeneous distribution of dengue cases in the region, with the highest rates in the east coast. Four risk clusters were observed, involving 815 municipalities (45.45%). Moreover, social indicators related to population density, education, income, housing, and social vulnerability showed a spatial correlation with the dengue incidence rate. Conclusions: This study provides information on the spatial dynamics of dengue in northeastern Brazil and its relationship with social determinants and can be used in the formulation of public health policies to reduce the impact of the disease in vulnerable populations. [ABSTRACT FROM AUTHOR]