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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: Infectious and parasitic diseases (IPDs) encompass a broad range of illnesses predominantly associated with poverty. They are more prevalent in low- and middle-income countries, including Brazil, where they continue to be among the leading causes of mortality., Objective: This study aims to analyze the spatiotemporal dynamics of mortality due to IPDs in Brazil from 2000 to 2019., Methods: We conducted an ecological study using data on mortality by IPDs from the Brazilian Mortality Information System. We applied the segmented log-linear regression model to assess temporal trends. For spatial analysis, we used the local empirical Bayesian estimator and Moran indices. Retrospective spatiotemporal scan statistics were performed using the Poisson Probability Distribution Model., Results: Between 2000 and 2019, there were 2,155,513 deaths related to IPDs in Brazil. The leading causes of death included acute respiratory infections ( n  = 1,130,069; 52.49%), septicemia ( n  = 289,817; 13.46%), human immunodeficiency virus/acquired immunodeficiency syndrome ( n  = 232,892; 10.82%), tuberculosis ( n  = 104,121; 4.84%), and neglected tropical diseases such as Chagas disease ( n  = 94,788; 4.40%) and schistosomiasis ( n  = 10,272; 0.48%). An increasing temporal trend in the mortality rate from IPDs was observed in Brazil and across all its regions. Additionally, our spatiotemporal scan identified high-risk clusters of death in the Southeast and Northeast regions., Conclusion: Mortality from IPDs remains a significant public health concern in Brazil, with an increasing trend observed in all regions. Our findings underscore the urgent need for comprehensive intersectoral public policies. These policies should focus on a greater allocation of resources and investments in the most critical areas, aiming to significantly reduce the number of deaths, particularly in the most vulnerable regions., (© The Author(s), 2025.)