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by Manuel Ribeiro, Leonardo Azevedo, André Peralta Santos, Pedro Pinto Leite, Maria João Pereira
During the SARS-CoV-2 pandemic, governments and public health authorities collected massive amounts of data on daily confirmed positive cases and incidence rates. These data sets provide relevant information to develop a scientific understanding of the pandemic’s spatiotemporal dynamics. At the same time, there is a lack of comprehensive approaches to describe and classify patterns underlying the dynamics of COVID-19 incidence across regions over time. This seriously constrains the potential benefits for public health authorities to understand spatiotemporal patterns of disease incidence that would allow for better risk communication strategies and improved assessment of mitigation policies efficacy. Within this context, we propose an exploratory statistical tool that combines functional data analysis with unsupervised learning algorithms to extract meaningful information about the main spatiotemporal patterns underlying COVID-19 incidence on mainland Portugal. We focus on the timeframe spanning from August 2020 to March 2022, considering data at the municipality level. First, we describe the temporal evolution of confirmed daily COVID-19 cases by municipality as a function of time, and outline the main temporal patterns of variability using a functional principal component analysis. Then, municipalities are classified according to their spatiotemporal similarities through hierarchical clustering adapted to spatially correlated functional data. Our findings reveal disparities in disease dynamics between northern and coastal municipalities versus those in the southern and hinterland. We also distinguish effects occurring during the 2020–2021 period from those in the 2021–2022 autumn-winter seasons. The results provide proof-of-concept that the proposed approach can be used to detect the main spatiotemporal patterns of disease incidence. The novel approach expands and enhances existing exploratory tools for spatiotemporal analysis of public health data.by Caroline Schon, Amanda Felismino, Joceline de Sá, Renata Corte, Tatiana Ribeiro, Selma Bruno
The acute myocardial infarction (AMI) present high mortality rate that may be reduced with cardiac rehabilitation. Despite its good establishment in outpatient care, few studies analyzed cardiac rehabilitation during hospitalization. Thus, this study aims to clarify the safety and efficacy of early cardiac rehabilitation after AMI. This will be a clinical, controlled, randomized trial with blind outcome evaluation and a superiority hypothesis. Twenty-four patients with AMI will be divided into two groups (1:1 allocation ratio). The intervention group will receive an individualized exercise-based cardiac rehabilitation protocol during hospitalization and a semi-supervised protocol after hospital discharge; the control group will receive conventional care. The primary outcomes will be the cardiac remodeling assessed by cardiac magnetic resonance imaging, functional capacity assessed by maximal oxygen consumption, and cardiac autonomic balance examined via heart rate variability. Secondary outcomes will include safety and the total exercise dose provided during the protocol. Statistical analysis will consider the intent-to-treat analysis. Trial registration. Trial registration number: Brazilian Registry of Clinical Trials (ReBEC) (RBR- 9nyx8hb).by Nayara Ribeiro da Silva, Giédre Berretin-Felix, Carlos Ferreira Santos, Michelle Suzanne Bourgeois
In health-related research, an increasing number of clinical assessment tools are translated and cross-culturally adapted for cross-national and cross-cultural studies and comparisons. However, when translating and cross-culturally adapting clinical assessment tools for use across new countries, cultures, or languages, we must follow a thorough method to reach semantic, idiomatic, experiential, and conceptual equivalences between translated and original versions. Therefore, in this study, we translated and cross-culturally adapted the Protocolo MBGR (Marchesan, Berretin-Felix, Genaro, and Rehder) from Brazilian Portuguese into English, following international guidelines, and named it “MBGR Protocol.” To verify its content validity, we used the Content Validity Index. Results indicated excellent content validity: a Scale-Content Validity Index of 0.96 and 97% of all translation units with an Item-Content Validity Index of 1.00. Also, to prove its face validity and confirm whether it worked in the target population’s linguistic-cultural setting, we used it with 35 subjects. Again, results demonstrated excellent face validity: in the pretest, 91% of all translation units were considered comprehensible and clear; in the pilot test, 98% of all translation units were considered comprehensible and clear. Thus, we concluded that the MBGR Protocol is promising to enhance the uptake of studies in Orofacial Myology worldwide and support researchers and health professionals in assessing and diagnosing orofacial myofunctional disorders in children, adolescents, adults, and the elderly. Also, it may support evidence-based practice and assist in standardizing assessment and diagnostic criteria. The MBGR Protocol should have its psychometric properties tested before being used in clinical practice or scientific research. Therefore, future studies are needed, and collaborations among researchers from South and North American countries are encouraged to create an international network and advance with knowledge and skills in the Orofacial Myology discipline.
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