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Based on statistical analyses applied to official data from the Digital Atlas of Disasters in Brazil over the last 25 years, we evidenced a consistent intensification in the annual occurrence of natural disasters in the state of Pará, located in the eastern Brazilian Amazon. The quantitative comparison between the averages of the most intense period of disasters (2017 to 2023) and the earlier years (1999 to 2016) revealed a remarkable percentage increase of 473%. Approximately 81% of the state’s municipalities were affected, as indicated by disaster mapping. A clear seasonal pattern was observed, with Hydrological disasters (Inundations, Flash floods, and Heavy rainfall) peaking between February and May, while Climatological disasters (Droughts and Forest fires) were most frequent from August to October. The catastrophic impacts on people and the economy were documented, showing a significant rise in the number of homeless individuals and those directly affected, alongside considerable material damage and economic losses for both the public and private sectors. Furthermore, we conducted a comprehensive composite analysis on the tropical ocean–atmosphere dynamic structure that elucidated the various triggering mechanisms of disasters arising from Inundations, Droughts, and Forest fires (on seasonal scale), and Flash floods and Heavy rainfall (on sub-monthly scale) in Pará. The detailed characterization of disasters on a municipal scale is relevant in terms of the scientific contribution applied to the strategic decision-making, planning, and implementation of public policies aimed at early risk management (rather than post-disaster response), which is critical for safeguarding human well-being and strengthening the resilience of Amazonian communities vulnerable to climate change.

Based on statistical analyses applied to official data from the Digital Atlas of Disasters in Brazil over the last 25 years, we evidenced a consistent intensification in the annual occurrence of natural disasters in the state of Pará, located in the eastern Brazilian Amazon. The quantitative comparison between the averages of the most intense period of disasters (2017 to 2023) and the earlier years (1999 to 2016) revealed a remarkable percentage increase of 473%. Approximately 81% of the state's municipalities were affected, as indicated by disaster mapping. A clear seasonal pattern was observed, with Hydrological disasters (Inundations, Flash floods, and Heavy rainfall) peaking between February and May, while Climatological disasters (Droughts and Forest fires) were most frequent from August to October. The catastrophic impacts on people and the economy were documented, showing a significant rise in the number of homeless individuals and those directly affected, alongside considerable material damage and economic losses for both the public and private sectors. Furthermore, we conducted a comprehensive composite analysis on the tropical ocean–atmosphere dynamic structure that elucidated the various triggering mechanisms of disasters arising from Inundations, Droughts, and Forest fires (on seasonal scale), and Flash floods and Heavy rainfall (on sub-monthly scale) in Pará. The detailed characterization of disasters on a municipal scale is relevant in terms of the scientific contribution applied to the strategic decision-making, planning, and implementation of public policies aimed at early risk management (rather than post-disaster response), which is critical for safeguarding human well-being and strengthening the resilience of Amazonian communities vulnerable to climate change. [ABSTRACT FROM AUTHOR]

Precision medicine has revolutionized the field of neuroimmunology, with innovative approaches that characterize diseases based on their biology, deeper understanding of the factors leading to heterogeneity within the same disease, development of targeted therapies, and strategies to tailor therapies to each patient. This review explores the impact of precision medicine on various neuroimmunological conditions, including multiple sclerosis (MS), neuromyelitis optica spectrum disorder (NMOSD), myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD), optic neuritis, autoimmune encephalitis, and immune-mediated neuropathies. We discuss advances in disease subtyping, recognition of novel entities, promising biomarkers, and the development of more selective monoclonal antibodies and cutting-edge synthetic cell-based immunotherapies in neuroimmunological disorders. In addition, we analyze the challenges related to affordability and equity in the implementation of these emerging technologies, especially in situations with limited resources.

This research aimed to analyze the relationship between deforestation (DFT) and climatic variables during the rainy (CHU+) and less-rainy (CHU−) seasons in the Tapajós River basin. Data were sourced from multiple institutions, including the Climatic Research Unit (CRU), Center for Weather Forecasts and Climate Studies (CPTEC), PRODES Program (Monitoring of Brazilian Amazon Deforestation Project), National Water Agency (ANA) and National Centers for Environmental Prediction/National Oceanic and Atmospheric Administration (NCEP/NOAA). The study assessed anomalies (ANOM) in maximum temperature (TMAX), minimum temperature (TMIN) and precipitation (PREC) over three years without the occurrence of the El Niño–Southern Oscillation (ENSO) atmospheric–oceanic phenomenon. It also examined areas with higher DFT density using the Kernel methodology and analyzed the correlation between DFT and climatic variables. Additionally, it assessed trends using the Mann–Kendall technique for both climatic and environmental data. The results revealed significant ANOM in TEMP and PREC. In PREC, the highest values of ANOM were negative in CHU+. Regarding temperature, the most significant values were positive ANOM in the south, southwest and northwestern regions of the basin. Concerning DFT density, data showed that the highest concentration was of medium density, primarily along the highways. The most significant correlations were found between DFT and TEMP during the CHU− season in the Middle and Lower Tapajós sub-basins, regions where the forest still exhibits more preserved characteristics. Furthermore, the study identified a positive trend in TEMP and a negative trend in PREC.

The great current challenge for the conservation and use of natural resources refers to global climate change, because of its impacts felt in different intensities at global, regional, and local spatial scales. Within the system of environmental protection areas in Brazil, the extractive reserves ensure the sustainable use of natural resources by traditional populations, thus maintaining the cultural and biological aspects of a region. Such populations, being in close management of the surrounding environments, tend to perceive changes in ecological processes that many need for their livelihoods. The use of this perception of local populations in conjunction with academic research evidence has a high potential to allow a whole and systemic view of possible changes in natural phenomena. This study developed an integrated analysis of scientific evidence and local perceptions to understand the variation of precipitation in a community inserted in an extractive reserve in the eastern Amazon. We used 30 years of precipitation data from the Brazilian National Institute of Meteorology - INMET, the Southern Oscillation Index - SOI, and the Atlantic Meridional Mode Index - AMM. Furthermore, we applied a form to measure the population's perception of possible changes in rainfall cycles in the region. The meteorological data indicate that the region of the community has been presenting a rainfall reduction; however, people in the community do not perceive this trend. Although it is public knowledge that the global climate is undergoing changes, a fact noted after the integrating analysis of scientific evidence with local knowledge in Resexmar Soure is that the perceptions of traditional populations often focus on smaller temporal and spatial scale visions.

ABSTRACT The Scientific Department of Neuroimmunology of the Brazilian Academy of Neurology (DCNI/ABN) and Brazilian Committee for Treatment and Research in Multiple Sclerosis and Neuroimmunological Diseases (BCTRIMS) provide recommendations in this document for vaccination of the population with demyelinating diseases of the central nervous system (CNS) against infections in general and against the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes COVID-19. We emphasize the seriousness of the current situation in view of the spread of COVID-19 in our country. Therefore, reference guides on vaccination for clinicians, patients, and public health authorities are particularly important to prevent some infectious diseases. The DCNI/ABN and BCTRIMS recommend that patients with CNS demyelinating diseases (e.g., MS and NMOSD) be continually monitored for updates to their vaccination schedule, especially at the beginning or before a change in treatment with a disease modifying drug (DMD). It is also important to note that vaccines are safe, and physicians should encourage their use in all patients. Clearly, special care should be taken when live attenuated viruses are involved. Finally, it is important for physicians to verify which DMD the patient is receiving and when the last dose was taken, as each drug may affect the induction of immune response differently.

ABSTRACT Background: To improve the comparability of multiple sclerosis (MS) prevalence across Brazilian regions, the Brazilian Committee for Treatment and Research in MS has implemented a standardized approach to assess the prevalence of the disease in five key cities, which were deemed representative of their regions in terms of socio-geographical features and where in-person revision of each case was feasible. Objective: To report the point-prevalence of MS in Passo Fundo, one of the key cities in Southern Brazil. Methods: We sought to identify all MS patients who were living in Passo Fundo on July 1st, 2015. The primary source for case ascertainment was records from the offices of neurologists and neurosurgeons practicing in the city. Multiple secondary sources were used to maximize identification of cases. All patients underwent in-person review of the diagnosis by a panel of neurologists with experience in MS. Results: We identified 52 MS patients living in Passo Fundo on July 1st, 2015. The point-prevalence rate for MS was 26.4/100,000 population (95% confidence interval, 19.7 to 34.6/100,000). Among the MS cases, 42 (80.8%) were female, for a sex ratio of 4.2:1. Forty-six cases (88.5%) were categorized as relapsing-remitting MS, and the remaining 6 cases, as secondary progressive MS (11.5%). Other epidemiological and clinical features were comparable to national and international MS populations. Conclusions: The prevalence of MS in Passo Fundo is one of the highest reported in Brazil so far. Studies in other key Brazilian cities, using the same methodology, are currently being carried out.

Abstract Improvements in assays for detecting serum antibodies against myelin oligodendrocyte glycoprotein (MOG) have led to the appreciation of MOG‐antibody‐associated disease (MOGAD) as a novel disorder. However, much remains unknown about its etiology. We performed human leukocyte antigen (HLA) analysis in 82 MOGAD patients of European ancestry in the UK population. No HLA class II associations were observed, thus questioning the mechanism of anti‐MOG antibody generation. A weak protective association of HLA‐C*03:04 was observed (OR = 0.26, 95% CI = 0.10‐0.71, pc = 0.013), suggesting a need for continued efforts to better understand MOGAD genetics and pathophysiology.

Rubia Carla Formighieri Giordani,1 Suely Ruiz Giolo,2 Camila Muhl,3 Arune João Estavela,4 Janete Ismael Mabuie Gove4 1Department of Nutrition, Federal University of Parana, Curitiba, Parana, Brazil; 2Department of Statistics, Federal University of Parana, Curitiba, Parana, Brazil; 3Department of Psychology, FAE University, Curitiba, Parana, Brazil; 4High Institute of Health Sciences, Maputo, MozambiqueCorrespondence: Rubia Carla Formighieri GiordaniDepartment of Nutrition, Federal University of Parana, Curitiba, Parana, 80210-170, BrazilTel +55 41 3360 4056Email rubia@ufpr.brPurpose: This study aimed to validate the Portuguese version of the Fear of COVID-19 Scale (FCV-19S) and investigate its association with sociodemographic and pandemic-related variables in the population of Mozambique.Participants and Methods: A cross-sectional online survey recruited 387 Mozambicans aged 18 to 70 years. The psychometric properties of the Portuguese version of the FCV-19S were evaluated using confirmatory factor analysis and Rash analysis. Additionally, the association of the FCV-19S with sociodemographic and pandemic-related variables was investigated using the two-sample t-test, one-way analysis of variance, and logistic regression.Results: The unidimensional factor structure of the Portuguese version of the FCV-19S was confirmed, and the scale showed good internal consistency reliability. The FCV-19S properties tested from the Rasch analysis were satisfactory. Women and those with lower education levels had higher scores of fear. Moreover, significantly higher levels of fear were observed among those being in an at-risk group for COVID-19, having family members or friends diagnosed or with death confirmed by COVID-19, and not being confident that they would receive adequate care from the public health services in case of COVID-19 infection.Conclusion: The Portuguese version of FCV-19S has strong psychometric properties and can be used to assess the fear of COVID-19 in the Portuguese-speaking population of Mozambique. As the adverse impacts of the COVID-19 pandemic on mental health represents a challenge to clinical psychiatry, and information on mental health in African countries is still scarce, our findings may assist in the planning of public mental health policies, aimed mainly at specific segments of the population, such as women and people in extreme poverty.Keywords: mental health, fear scale, infection, pandemic, psychometrics