The Collapsible Light Trap: a portable Pennsylvania Light Trap for collecting aquatic insects.

A Collapsible Light Trap (CLT) for collecting insects, particularly aquatic insects, is described here. CLT is a modified Pennsylvania Light Trap with the advantage of being collapsible and lightweight to be carried in a small backpack and very easy to set up in the field. CLT is equipped with LED light strip wrapped around a PVC tube and can be connected to a regular 12 V / 7 Ah battery, running for more than 48 uninterrupted hours. Complete CLT weighs 0.8-1.0 kg, depending on the metal used, and the battery weighs around 2 kg, being easily transportable to more remote collecting areas. Over the years, CLTs have been used for collecting and describing the diversity of aquatic insects from Brazil, particularly caddisflies. Depending on the locality, only one trap for one night can collect over a thousand insect specimens and more than 200 individuals of caddisflies.

Description of lymphocyte and cytokine profiles in individuals with acute myeloid leukemia associated with FLT3-ITD and NPM1 mutation status.

The pathogenesis of acute myeloid leukemia (AML) involves mutations in genes such as FLT3 and NPM1, which are also associated with the prognosis of the disease. The immune system influences disease progression, but the mechanisms underlying the interaction between the immune system and AML are not clear. In this study, the profiles of lymphocytes and cytokines were described in individuals with AML stratified by molecular changes associated with prognosis. The participants included in this study were newly diagnosed AML patients (n = 43) who were about to undergo chemotherapy. Subtypes of lymphocytes in peripheral blood, including B cells, T cells, and natural killer cells, and serum concentrations of cytokines, including Th1, Th2, and Th17, were studied by flow cytometry assays (BD FACSCanto II). The correlations between lymphocyte subsets, cytokines, and genetic/prognostic risk stratification (based on the FLT3 and NPM1 genes) were analyzed. The differences in B lymphocytes (%), T lymphocytes (%), plasmablasts (%), leukocytes (cells/µl), and tumor necrosis factor (pg/ml) were determined between groups with FLT3-ITD+ and FLT3-ITD- mutations. The presence of mutations in NPM1 and FLT3-ITD and age suggested changes in the lymphocyte and cytokine profile in individuals with AML.

Microcystin removal by microbial communities from a coastal lagoon: Influence of abiotic factors, bacterioplankton composition and estimated functions.

Toxic cyanobacterial blooms present a substantial risk to public health due to the production of secondary metabolites, notably microcystins (MCs). Microcystin-LR (MC-LR) is the most prevalent and toxic variant in freshwater. MCs resist conventional water treatment methods, persistently impacting water quality. This study focused on an oligohaline shallow lagoon historically affected by MC-producing cyanobacteria, aiming to identify bacteria capable of degrading MC and investigating the influence of environmental factors on this process. While isolated strains did not exhibit MC degradation, microbial assemblages directly sourced from lagoon water removed MC-LR within seven days at 25 ºC and pH 8.0. The associated bacterial community demonstrated an increased abundance of bacterial taxa assigned to Methylophilales, and also Rhodospirillales and Rhodocyclales to a lesser extent. However, elevated atmospheric temperatures (45 ºC) and acidification (pH 5.0 and 3.0) hindered MC-LR removal, indicating that extreme environmental changes could contribute to prolonged MC persistence in the water column. This study highlights the importance of considering environmental conditions in order to develop strategies to mitigate cyanotoxin contamination in aquatic ecosystems.

The COVID-19 pandemic impacted the activities of the Schistosomiasis Control Program in Brazil: is the goal of controlling the disease by 2030 at risk?

BACKGROUND: Schistosomiasis continues to represent a serious public health problem in Brazil. With the coronavirus disease 2019 (COVID-19) pandemic, several control strategies were suspended, probably compromising the goals of eradicating the disease in the country. We aimed to assess the impact of the COVID-19 pandemic on Schistosomiasis Control Program (PCE) actions in all endemic states of Brazil. METHODS: We performed an ecological study using spatial analysis techniques. The PCE variables assessed were the population surveyed, the number of Kato-Katz tests, positive cases of schistosomiasis and the percentage of cases treated between 2015 and 2021. The percent change was calculated to verify if there was an increase or decrease in 2020 and 2021, along with time trend analyses provided by the Joinpoint model. Spatial distribution maps were elaborated considering the percent change. RESULTS: The surveyed population decreased in 2020 (-65.38%) and 2021 (-37.94%) across Brazil. There was a proportional reduction in the number of Kato-Katz tests (2020, -67.48%; 2021, -40.52%), a decrease in the percentage of positive cases (2020, -71.16%; 2021, -40.5%) and a reduction in the percentage of treated cases (2020, -72.09%; 2021, -41.67%). Time trend analyses showed a decreasing trend in most PCE variables. CONCLUSIONS: The PCE activities were impacted by the COVID-19 pandemic in Brazil and PCE strategies must be urgently reviewed, focusing on investments in all endemic areas.

Enhancing diagnostic accuracy of multiple myeloma through ML-driven analysis of hematological slides: new dataset and identification model to support hematologists.

Multiple Myeloma (MM) is a hematological malignancy characterized by the clonal proliferation of plasma cells within the bone marrow. Diagnosing MM presents considerable challenges, involving the identification of plasma cells in cytology examinations on hematological slides. At present, this is still a time-consuming manual task and has high labor costs. These challenges have adverse implications, which rely heavily on medical professionals' expertise and experience. To tackle these challenges, we present an investigation using Artificial Intelligence, specifically a Machine Learning analysis of hematological slides with a Deep Neural Network (DNN), to support specialists during the process of diagnosing MM. In this sense, the contribution of this study is twofold: in addition to the trained model to diagnose MM, we also make available to the community a fully-curated hematological slide dataset with thousands of images of plasma cells. Taken together, the setup we established here is a framework that researchers and hospitals with limited resources can promptly use. Our contributions provide practical results that have been directly applied in the public health system in Brazil. Given the open-source nature of the project, we anticipate it will be used and extended to diagnose other malignancies.

Impact of the COVID-19 Pandemic Surveillance of Visceral Leishmaniasis in Brazil: An Ecological Study.

The aim of the study was to assess the impact of the COVID-19 pandemic on the notification of new VL cases in Brazil in 2020. It is an ecological and time-series study (2015-2020) with spatial analysis techniques, whose units of analysis were the 5570 Brazilian municipalities. The study population consisted of all new cases of VL recorded between 2015 and 2020. The P-score was calculated to estimate the percentage variation in new VL cases. Global and local univariate Moran's Indices and retrospective space-time scan statistics were used in spatial and space-time analyses, respectively. It was expected that there would be 3627 new cases of VL in Brazil in 2020, but 1932 cases were reported (-46.73%). All Brazilian regions presented a negative percentage variation in the registration of new VL cases, with the Southeast (-54.70%), North (-49.97%), and Northeast (-44.22%) standing out. There was spatial dependence of the disease nationwide in both periods, before and during the first year of the COVID-19 pandemic. There was a significant reduction in the incidence of new VL cases in Brazil during the first year of the COVID-19 pandemic. These findings reinforce the need for better preparedness of the health system, especially in situations of new epidemics.

Potential of NIR spectroscopy for predicting cellulose nanofibril quality in commercial bleached Kraft pulp of Eucalyptus.

Multivariate models were developed to classify cellulose nanofibril (CNF) fibrillation by a quality index from near infrared (NIR) spectra. Commercial pulps of Eucalyptus spp. were used to produce cellulose nanofibrils by means of a fibrillator mill. After each of the five passes through the mill, samples were collected and analyzed for energy consumption and fiber classification. As a standard, pulps were oxidized with TEMPO reagent followed by a single pass through the mill to compare the resulting quality of CNFs produced by each method. NIR spectra of CNFs were associated with quality indices determined by conventional laboratory analyses that included morphology, turbidity, mechanical properties, X-ray diffraction and quality index measurements. Principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) were applied to the spectral and experimental data. Fibrillator milling to obtain CNFs was efficient and resulted in gel formation following the third pass through the mill. NIR spectroscopy combined with PLS-DA was used successfully to create a model to classify quality of CNFs with 96 % certainty in 3 wt% solutions. These findings suggest that NIR spectroscopy holds promise for estimating CNF quality in suspension, particularly in real-time industrial applications where reliable estimates are crucial.

Reduced HIV/AIDS diagnosis rates and increased AIDS mortality due to late diagnosis in Brazil during the COVID-19 pandemic.

The COVID-19 pandemic has severely affected global health, leading to the suspension of numerous routine healthcare services and posing challenges in efforts to control other diseases, such as HIV/AIDS. This study aimed to assess the impact of the COVID-19 pandemic on HIV/AIDS diagnoses and mortality rates in Brazil during 2020 and 2021. The percentage change was calculated to determine whether there was an increase or decrease in HIV/AIDS diagnoses and mortality, considering the average numbers from the last 5 years. Additionally, a Joinpoint regression model and an interrupted time series analysis were applied to assess time trends before and after the onset of the pandemic. Lastly, choropleth maps were prepared. We observed a reduction of 22.4% (2020) and 9.8% (2021) in the diagnosis of HIV/AIDS in Brazil. Conversely, there was a significant increase in the percentage change of late diagnosis of AIDS deaths in 2020 (6.9%) and 2021 (13.9%), with some states showing an increase of over 87%. Decreasing time trends in the diagnosis of HIV/AIDS were identified before the pandemic in Brazil, especially in the Southeast and South regions, and then time trends stabilized after including the pandemic years. Along with the dissemination of COVID-19, there was a reduction in the diagnosis of HIV/AIDS and an increase in late diagnosis AIDS deaths, signaling a serious impact of the pandemic on HIV/AIDS control strategies in Brazil. Therefore, we highlight the need for continuous efforts to control both diseases, that is, maintaining regular health services even in crisis situations.

Exploring the relationship between environmental drivers and the manifestation of fibropapillomatosis in green turtles (Chelonia mydas) in eastern Brazil.

Fibropapillomatosis (FP) is a disease characterized by epithelial tumors that can impede life-sustaining activities of sea turtles, especially green turtles (Chelonia mydas). FP is caused by a herpesvirus, but environmental factors are also thought to play a role in triggering FP tumor growth. In this study, we evaluate the epidemiology of FP tumors in green turtles along the coast of Espírito Santo, Brazil, a region where juvenile green turtles are known to aggregate with high FP prevalence. A dataset comprising 2024 beach-cast green turtles recorded through daily beach surveys on 400 km of coastline from 2018 to 2021 (inclusive) was evaluated. FP tumors were recorded in 40.9% of the individuals in this dataset, and presence of FP tumors was predicted by individual variables (presence of marine leeches, stranding code, curved carapace length, body mass-size residual) and characteristics of the stranding site (distance to nearest metallurgical plant, mean sea surface salinity (SSS), annual range of sea surface temperature (SST)). Additionally, a second dataset comprising detailed information about the size and anatomical distribution of tumors in 271 green turtles with FP from the same region was evaluated. Hierarchical clustering analysis revealed these turtles could be classified in three groups according to the anatomical distribution of their tumors, and in turn the group to which each turtle was assigned could be predicted by the study period (2010-2014 vs. 2018-2022) and by characteristics of the stranding/capture site (green turtle stranding density, mean sea surface chlorophyll-a concentration, mean SSS, mean SST, annual range of SST). These results corroborate that individual and environmental factors play a significant role driving FP epidemiology. Furthermore, the results suggest that rather than behaving as a single entity, FP may be seen as a mosaic of distinct anatomical patterns that are not necessarily driven by the same environmental factors.

A space-time analysis of mortality in older people living with HIV/AIDS in the state of São Paulo, Brazil.

OBJECTIVE: To analyze the spatiotemporal distribution of mortality in older people living with the human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS) in the state of São Paulo, Brazil. METHODS: This is an ecological study with temporal and spatial approaches to analyze mortality from HIV/AIDS in the older adult population in the 2010-2020 period in the state of São Paulo, Brazil. Analysis of temporal trends was performed using the joinpoint regression, and spatial analysis was carried out using the Moran's index and the local empirical Bayesian model. RESULTS: We identified a total of 3,070 deaths from HIV/AIDS among older adults and a mortality rate of 51.71 per 100 thousand inhabitants during the study period. The joinpoint method showed a growing trend for the age groups from 70 to 79 years (annual percent change [APC]=3.45; p=0.01) and ≥80 years (APC=6.60; p=0.006) and stability for the general older adult population (APC=0.99; p=0.226). The spatial distribution of the crude mortality rate was diffuse throughout the state. After smoothing by the Bayesian estimator, we observed greater concentration in the eastern mesoregions. In Moran's analysis, we observed clusters of lower mortality rates in more central regions; and of higher rates in the southern and northern regions of the state. CONCLUSIONS: We found a major growing trend in mortality from HIV/AIDS in the age group of older adults over 69 years during the 2010-2020 period. Clusters of high mortality rates were located in regions further to the south and north of the state, where places of greater social inequalities are concentrated.

Phase Angle, Inflammation, and Sarcopenia in Late Postoperative Roux-En-Y Gastric Bypass.

Sarcopenic obesity is characterized by a disproportion between the amount of muscle to fat. Contrary to most studies evaluating parameters related to sarcopenic obesity in the elderly, this study aims to evaluate the phase angle (PhA) and sarcopenia in young individuals pre- and post-Roux-en-Y gastric bypass. A total of 69 volunteers (46 women and 23 men; 38.5 ± 8.1 years) participated in this study. Body composition and PhA were assessed using BIA. Sarcopenia was assessed using a handgrip strength test (HGS) and gait speed (GS), and appendicular lean mass (ALM) was assessed using Dual Energy X-ray Absorptiometry (DXA). The PhA was significantly lower (p < 0.0007) and the resistance (R) significantly higher (p = 0.0026) in the postoperative group. HGS was negatively correlated with R (r = -0.63669; p < 0.0001), hs-CRP (r = -0.45436; p = 0.0197), and leptin (r = -0.46505; p = 0.0043). GS was negatively correlated with R (r = -0.36220; p = 0.0254), and ALM was negatively correlated with reactance (r = -0.49485; p = 0.0034) and R (r = -0.65797; p ≤ 0.0001). PhA and other components of BIA provide a good correlation with sarcopenia, especially regarding the reduction in muscle function, in an early form, in individuals in the pre- and postoperative period of gastric bypass.

Erratum: Single-center developing country analysis of radium-223 therapy in prostate cancer-preliminary results.

[This corrects the article on p. 352 in vol. 11, PMID: 34754606.].

In situ H2O2 treatment of blue-green algae contaminated reservoirs causes significant improvement in drinking water treatability.

The evaluation of water quality improvement brought about by in situ treatment of eutrophic water bodies, especially those used for human supply is a challenging task since each water system responds differently. To overcome this challenge, we applied exploratory factor analysis (EFA) to understand the effects of using hydrogen peroxide (H2O2) on eutrophic water used as a drinking water supply. This analysis was used to identify the main factors that described the water treatability after exposing blue-green algae (cyanobacteria) contaminated raw water to H2O2 at both 5 and 10 mg L-1. Cyanobacterial chlorophyll-a was undetectable following the application of both concentrations of H2O2 after four days, while not causing relevant changes to green algae and diatoms chlorophyll-a concentrations. EFA demonstrated that the main factors affected by both H2O2 concentrations were turbidity, pH, and cyanobacterial chlorophyll-a concentration, which are important variables for a drinking water treatment plant. The H2O2 caused significant improvement in water treatability by decreasing those three variables. Finally, the use of EFA was demonstrated to be a promising tool in identifying which limnological variables are most relevant concerning the efficacy of water treatment, which in turn can make water quality monitoring more efficient and less costly.

Temporal trend, spatial analysis and spatiotemporal clusters of infant mortality associated with congenital toxoplasmosis in Brazil: Time series from 2000 to 2020.

OBJECTIVE: To analyse the spatial, temporal and spatial-temporal patterns of infant mortality associated with congenital toxoplasmosis in Brazil between the years 2000 and 2020. METHODS: Ecological study of time series, with spatial analysis and spatiotemporal scan of infant mortality associated with congenital toxoplasmosis from the records of deaths of the Mortality Information System of the Brazilian Ministry of Health. The rates were smoothed by the Local Empirical Bayesian model. The Global Moran Index, Global Geary's Contiguity and Getis-Ord General statistics were calculated for spatial autocorrelation assessment. The trends were evaluated by the Joinpoint method. RESULTS: We identified 1183 infant deaths associated with congenital toxoplasmosis in Brazil between 2000 and 2020. The predominant characteristics were male sex (52.1%), post-neonatal age group (51.9%), white race/colour (45.7%), and Southeast region of residence (40.0%). The infant mortality rate associated with congenital toxoplasmosis showed an increasing trend in the country in the years analysed. The spatial analysis showed heterogeneous distribution of mortality in the Brazilian territory and found no evidence of spatial autocorrelation; but spatial-temporal analysis identified three risk clusters involving 703 municipalities. CONCLUSION: Infant mortality associated with congenital toxoplasmosis is a persistent public health problem in Brazil. The risk factors male sex, indigenous race/colour, early neonatal age, North and Northeast regions and risk clusters mapped in this study should be observed for future analysis and planning of health care policies in the control of infant deaths associated with congenital toxoplasmosis. Health surveillance strategies and public health policies need to be strengthened.

Head-to-head comparison of [68Ga]Ga-PSMA-11 and [18F]FDG PET/CT in multiple myeloma.

PURPOSE: The aim of this study was to compare [18F]FDG and [68Ga]Ga-PSMA-11 PET/CT image findings in patients with multiple myeloma (MM). METHODS: Twenty consecutive patients with symptomatic biopsy-proven MM were submitted to whole body [18F]FDG and [68Ga]Ga-PSMA-11 PET/CT with a time interval of 1-8 days between procedures. All lesions were counted and had their maximum SUV (SUVmax) measured. Intra-class correlation (ICC) was used to assess the agreement between [18F]FDG and [68Ga]Ga-PSMA-11 PET/CT findings. RESULTS: A total of 266 lesions were detected in 19/20 patients. [18F]FDG detected 223/266 (84%) lesions in 17 patients and [68Ga]Ga-PSMA-11 190/266 (71%) lesions in 19 patients. Both procedures did not identify any active lesion in 1 patient. Forty-three (16%) lesions were detected only by [68Ga]Ga-PSMA-11 and 76 (29%) only by [18F]FDG. Both tracers identified 147 (55%) lesions. Intralesional mismatch of FDG-PSMA uptake was identified in 25 of these 147 lesions, found in 8 different patients. Different lesions with uptake of only [18F]FDG or [68Ga]Ga-PSMA-11 in the same patient were found in 4 patients. The highest SUVmax of [18F]FDG and [68Ga]Ga-PSMA-11 had a median (min-max) SUVmax of 6.5 (2.0-37.8) and 5.5 (1.7-51.3), respectively. [18F]FDG and [68Ga]Ga-PSMA-11 respectively identified 18 and 19 soft tissue lesions. False-positive [18F]FDG findings had minimal or no uptake of [68Ga]Ga-PSMA-11. Good reliability (ICC ≥ 0.75) was found for number of lesions, number of soft tissue lesions and highest SUVmax in each patient. CONCLUSION: [18F]FDG or [68Ga]Ga-PSMA-11 alone can detect most MM lesions. Almost half of the lesions take up only one of the tracers, reflecting increased glycolysis or angiogenesis in specific lesions, and suggesting their possible complementary role in MM. The marked [68Ga]Ga-PSMA-11 uptake in some cases raises the possibility of a theranostic approach in selected patients.

Adherence to Pre-Exposure Prophylaxis (PrEP) among Men Who Have Sex with Men (MSM) in Portuguese-Speaking Countries.

Strengthening strategies to improve adherence to the use of pre-exposure prophylaxis (PrEP) in key populations constitutes a global health priority to be achieved across countries, especially in countries that share a high flow of people such as Brazil and Portugal. This study aimed to analyze the factors associated with adherence to PrEP among MSM from two Portuguese-speaking countries, highlighting the opportunities and preventive strategies for the global health scenario. This was a cross-sectional analytical online survey conducted from January 2020 to May 2021 with MSM in Brazil and Portugal. For analysis of the data, the Poisson regression model was used to estimate the prevalence ratio (PR) for developing a model to evaluate the associated factors in both countries in a comparative and isolated way. Adherence to PrEP use corresponded to 19.5% (n = 1682) of the overall sample: 18.3% (n = 970) for Brazil and 21.5% (n = 712) for Portugal. Having more than two sex partners in the last 30 days (aPR: 30.87) and routinely undergoing HIV tests (aPR: 26.21) increased the use of this medication. Being an immigrant (PR: 1.36) and knowing the partner's serological status (PR: 1.28) increased adherence to PrEP in Portugal, whereas, in Brazil, it was being an immigrant (PR: 0.83) and not knowing the serological status (PR: 2.24) that promoted the use of this medication. Our findings reinforce the need to invest in programs and strategies to improve access and adherence to PrEP, especially in key populations.

Eventos adversos na atençãoprimária à saúde / Adverse events in primary health care / Eventos adversos en la atención primaria a la salud

Objetivo: Identificar na literatura os principais fatores contribuintes para ocorrência de Eventos Adversos na Atenção Primária à Saúde. Métodos: Trata-se de uma revisão integrativa. A partir da formação da questão norteadora, foi realizada uma pesquisa nas bases de dados: MEDLINE, PubMed, BDENF, SciELO e LILACS. Ao final, foram incluídos 15 artigos. Resultados: 7 dos artigos traziam fatores ligados a medicação como principal, 3 traziam prática e procedimentos, 2 organização e gestão, 1 comunicação e 2 outros fatores. Conclusão: Percebeu-se que erros relacionados a medicação e diagnóstico são os mais comuns nas instâncias de saúde. A falha na comunicação entre funcionários e entre os serviços de saúde, além de fatores organizacionais e diagnósticos tardios também foram apontadas, sendo boa parte, evitável. A subnotificação foi comumente relatada nos artigos, revelando que os dados existentes possam não estar condizentes com a realidade. (AU)

Objective: To identify in the literature the main contributing factors for the occurrence of Adverse Events in Primary Health Care. Methods: This is an integrative review. Based on the formation of the guiding question, a research was carried out in the databases: MEDLINE, PubMed, BDENF, SciELO and LILACS. At the end, 15 articles were included. Results: 7 of the articles included factors related to medication as main, 3 had practice and procedures, 2 organization and management, 1 communication and 2 other factors. Conclusion: Errors related to medication and diagnosis are the most common in health instances. The failure to communicate between employees and between health services, in addition to organizational factors and late diagnoses were also pointed out, being mostly avoidable. Underreporting was commonly reported in the articles, revealing that existing data may not be consistent with reality. (AU)

Objetivo: Identificar en la literatura los principales factores contribuyentes para la ocurrencia de Eventos Adversos en la Atención Primaria a la Salud. Métodos: Se trata de una revisión integrativa. A partir de la formación de la cuestión orientadora, se realizó una investigación en las bases de datos: MEDLINE, PubMed, BDENF, SciELO y LILACS. Al final, se incluyeron 15 artículos. Resultados: 7 de los artículos traían factores ligados à la medicación como principal, 3 traían práctica y procedimientos, 2 orgnización y gestión, 1 comunicación y 2 otros factores. Conclusión: Se dio cuenta que errores relacionados con la medicación y el diagnóstico son los más comunes en las instancias de salud. La falla en la comunicación entre funcionarios y entre los servicios de salud, además de factores organizacionales y diagnósticos tardío también fueron señalados, siendo buena parte, evitable. La subnotificación fue comúnmente relatada en los artículos, revelando que los datos existentes pueden no estar en concordancia con la realidad. (AU)

Spatial modeling of homicide mortality in the Northeast region of Brazil.

OBJECTIVE: To analyze the spatiotemporal distribution of homicide mortality and association with social determinants of health in the Northeast Region of Brazil. METHODS: Ecological study with spatiotemporal modeling of homicide deaths between 2000 and 2019. Temporal trends were analyzed by segmented linear regression. Crude mortality was calculated and adjusted by smoothing the local empirical Bayesian method and analyzed by the Global/Local Moran Index and spatiotemporal scan statistics. The association between social determinants of health and homicide mortality was performed using multiple linear regression and autoregressive spatial models. RESULTS: 353,089 deaths were recorded. Mortality increased from 2000 to 2019, with an annual increase of 4.37 in males and 3.57 in females. High risk spatial and spatiotemporal clusters were identified in the coastal region of the states. The spatial regression model showed an association with socioeconomic inequalities. CONCLUSIONS: High risk areas for homicides associated with socioeconomic inequality, which should be considered as a priority for designing and investing in public health policies were investigated.

Impact of the COVID-19 pandemic on the actions of the Schistosomiasis Control Program in an endemic area in Northeastern Brazil.

Schistosomiasis remains a serious public health concern in Brazil and the Schistosomiasis Control Program (PCE) was elaborated to assist in the control of the disease. Nevertheless, the irruption of the COVID-19 pandemic may have impacted the program. Herein, we assessed the impact of the pandemic on PCE actions in an endemic area in the region with the highest positivity rate for schistosomiasis in Brazil. We conducted an ecological, population-based study using data from the PCE of the state of Alagoas, between 2015 and 2021, to calculate the percentage of change. The temporal trend analysis was performed using the segmented log-linear regression model. To evaluate the spatial distribution of the data, choropleth maps were made showing the values of the% of change. Moran maps was elaborated to indicate the critical areas. Our analysis showed a decrease in the population surveyed in 2020 (-41.00%) and 2021 (-18.42%). Likewise, there was a reduction in the number of Kato-Katz tests performed (2020 = -43.45%; and in 2021 = -19.63%) and, consequently, a drop in the rate of positive tests (-37.98% in 2020 and -26.14% in 2021). Importantly, treatment of positive cases was lower than 80% (77.44% in 2020 and 77.38% in 2021). Additionally, spatial clusters with negative percentage values of up to -100% of the PCE indicators were identified mostly in the municipalities of the coastal areas that are historically most affected by schistosomiasis. Taken together, our analyzes corroborate that PCE actions in endemic municipalities of Alagoas were impacted by the COVID-19 pandemic.

Persistent Organic Pollutants (POPs) in Sardine (Sardinella brasiliensis): Biomonitoring and Potential Human Health Effects.

Organochloride (OC) and polychlorinated biphenyl (PCB) concentrations were determined in the muscle tissue of fifty sardine samples (Sardinella brasiliensis) sampled off the south-east Brazilian shelf. The aim herein was to investigate OCs and PCBs composition profile, bioaccumulation potential and human risks. The concentrations of 18 organochlorine pesticides (OCPs) were below the method limit of quantification in most samples (ca. 94%), with few detected, namely δ-HCH, γ-HCH, Endosulfan I and II, Endosulfan Sulphate, DDE, Dieldrin, Endrin, Endrin Aldeide, Endrin Cetone and Metoxyclor. The median concentration for the Σ41 PCBs was 2.32 ng g-1, ranging from values below the limit of quantification (