Mobile video annotations: a case study on supporting rehabilitation exercises

Annotations enable us to highlight key points or add information to content presented, for instance, on paper or digital media. Even though smartphones and tablets facilitate video capturing, currently only few applications allow limited video annotations using the mobile device itself. Given that video annotations can assist many tasks that depend or can be enhanced by video capturing, in previous work we have contributed with a tool for allowing multimodal video annotation using mobile devices. Upon experimenting with the tool, we identified that reviewing rehabilitation exercise videos can be especially enhanced with video annotations. Professionals in the field of physiotherapy and occupational therapy can add relevant annotations for their patients to improve performance of their exercises. After an evaluation with a specialist in occupational therapy, we identified new requirements associated with the monitoring of patients. We then identified the opportunity to develop a monitoring system with the collaboration of two rehabilitation specialists. Since these two specialists work with mirror therapy, we defined requirements that are relevant for this type of therapy. The system was developed to support the monitoring of exercises combined with video recording and annotation capabilities. The system aims to support rehabilitation therapy by distance: therapists can monitor patients as they record videos that are sent for evaluation. We identified requirements that may be applied in many scenarios, however mirror therapy demanded many specific requirements related to the recording of videos.Coordination for the Improvement of Higher Education Personnel (CAPES)São Paulo Research Foundation (FAPESP, grant #2011/17040-0)National Council for Scientific and Technological Development (CNPq

UM ESTUDO SOBRE LETRAMENTO DIGITAL PARA IDOSOS COM O APOIO DE UM APLICATIVO MÓVEL PERSONALIZÁVEL

O uso de sistemas computacionais para cuidados com a saúde deidosos é cada vez mais comum. No campo da educação, no entanto,as investigações enfocam mais em questões técnicas de desenvolvimento ou em adaptação de tecnologias, e não no processo deensino-aprendizagem e aplicabilidade do uso de dispositivos móveis.Este trabalho buscou estimular, monitorar e avaliar o uso dessesdispositivos no ambiente natural por idosos participantes de cursosde alfabetização e letramento digital. Também buscou promover novasmetodologias para práticas de alfabetização e letramento digital paraidosos. Foi realizado um estudo de viabilidade explorando o uso deum sistema denominado ESPIM, como um novo recurso pedagógicoem cursos como este. O ESPIM permite a profissionais de diferentesáreas construírem programas de intervenção para realizar coletas dedados de forma remota com suas populações de interesse. Essapopulação responde a perguntas programadas pelos profissionaisusando um aplicativo móvel. As perguntas planejadas podem serquestões abertas, de múltipla escolha, de escolha única, solicitaçãodo envio de mídias como áudio, vídeo ou imagens. Neste estudoqualitativo, por duas semanas consecutivas, os participantes receberam alertas e instruções, por meio desse aplicativo, para realizaratividades práticas em casa sobre o conteúdo aprendido em salade aula. Os resultados obtidos descrevem um comportamentopositivo dos participantes em termos de engajamento na execuçãodas atividades de casa, e também descrevem feedbacks sobre oaplicativo, tais como facilidades e dificuldades, autonomia no usoe adesão ao recurso tecnológico como forma de apoio a cursoscomo o supracitado

Série temporal da dinâmica do sistema de saúde para o diagnóstico de tuberculose em uma região metropolitana do nordeste brasileiro (2010-2020)

Objetivo: Analisar a dinâmica do sistema de saúde para o diagnóstico de tuberculose em região metropolitana de um estado do nordeste brasileiro. Métodos: Estudo ecológico de série temporal realizado em São Luís, no Estado do Maranhão, região Nordeste do Brasil. A população do estudo foi composta casos de tuberculose notificados noSistema de Informação de Agravos de Notificação (SINAN) no período de 2010 a 2020. A estatística descritiva dos casos foi realizada utilizando medidas de frequência absoluta e relativa e o teste Qui–quadrado de Pearson foi utilizado para comparar as frequências entre os casos notificados em unidades de Atenção Primária a Saúde (APS) e hospitalares e a caracterização sociodemográfica e clínica. Para análise da série temporal, recorreu-se ao modelo deautorregressão Prais–Winsten, seguido do método de decomposição denominado Seasonal–Trend using Loess (STL), finalizando com a previsão da tendência temporal para os próximos anos. Os dados foram analisados utilizando os recursos do software Stata versão 17 (StataCorp, College Station, TX, USA) e R versão 3.5.2 (R Core Team, 2020). Resultados: Foram notificados 7.948 casos com diagnóstico de tuberculose, sendo 1.608 notificados em unidadesde Atenção Primária e 6.340 em unidades Hospitalares. O teste Qui–quadrado resultou na frequência relativa calculada considerando o total de paciente que possuíam resultados de cada exame com diferenças estatisticamente significantes (p < 0,05). Conclusão: Foi possível observar tendência temporal diferenciada entre o diagnóstico realizado pela APS e hospitais. Na análise e modelagem temporal houve aumento nos casos notificados na APS e estacionário nos hospitais, entretanto, na modelagem temporal houve redução do número de casos nos hospitais.Objective: To analyze the dynamics of the health system for the diagnosis of tuberculosis in a metropolitan region of a Northeast Brazilian state. Methods: Ecological time series study conducted in São Luís, Maranhão State, Northeast region of Brazil. The study population was composed of tuberculosis cases notified in the Notifiable Diseases Information System (SINAN) in the period from 2010 to 2020. The descriptive statistics of the cases was performed using absolute and relative frequency measures, and Pearson’s Chi-square test was used to compare thefrequencies between the cases notified in Primary Health Care (PHC) and hospital units and the sociodemographic and clinical characterization. For time series analysis, the Prais-Winsten autoregression model was used, followed by the decomposition method called Seasonal-Trend decomposition using LOESS (STL), ending with the time trend prediction for the next years. The data were analyzed using the resources of the computer programs named Stata, version 17 (StataCorp, College Station, TX, USA) and R, version 3.5.2 (R Core Team, 2020). Results: A total of 7,948 cases diagnosed with tuberculosis were notified, of which 1,608 were notified in Primary Care units and 6,340 in hospital units. The Chi-square test resulted in a relative frequency calculated considering the totalnumber of patients who had results from each examination with statistically significant differences (p < 0.05). Conclusion: It was possible to observe different time trends between diagnoses performed by PHC and hospitals. In the time analysis and modeling, there was an increase in cases notified in PHC and stationary in hospitals; however, in the time modeling, there was a reduction in the number of cases in hospitals

A platform for the recommendation of points of interest in brazilian cities: architecture and case study

The tourism sector in Brazil has grown considerably in recent years. Despite this growth, the sector still presents several problems such as the lack of information in Portuguese and in other languages for Brazilian and foreign tourists. The absence of information about tourist sites and ordinary services also affects individuals when settling in a new city, as it is the case when freshman students move to a new city to start their studies in a college or university. In this work, we propose an innovative vision of a context-aware platform for recommending points of interest in Brazilian cities, designed with mechanisms for collecting data from the web, for extracting points of interest and background information, and for learning context-aware recommendation models. The platform is accessed by a mobile application. To validate our proposal, we ran a case study where freshman students used the platform during their first months in a new city.São Paulo Research Foundation (FAPESP) (grant 2014/08996-0)Amazonas Research Foundation (FAPEAM) (005/2012)CNPq (311659/2011-0)CAPE

Dwellings, jabuticabas, and affections — trajectories with Sylvia Caiuby Novaes

Sylvia Caiuby Novaes é professora do Departamento de Antropologia da Universidade de São Paulo (USP) e dedica-se há cerca de 50 anos à pesquisa e ao ensino em antropologia. Entre outras realizações, ela é uma das pioneiras da antropologia visual no Brasil, é fundadora do Laboratório de Imagem e Som da Antropologia (LISA) e editora responsável pela revista Gesto, Imagem e Som. Revista de Antropologia (GIS). Nesta entrevista, realizada por mais de 30 orientandos de diferentes gerações, Sylvia fala sobre sua trajetória, projetos, visão de mundo, suas diversas viagens, o fascínio pelas pesquisas de campo e a universidade. Ao contar sobre sua trajetória acadêmica e pessoal, Sylvia traz reflexões sobre sua relação com a fotografia e a produção de imagens.  Sylvia Caiuby Novaes is a Professor in the Department of Anthropology at the University of São Paulo (USP) and has been dedicated to research and teaching in anthropology for nearly 50 years. Among other accomplishments, she is one of the pioneers of visual anthropology in Brazil, is the founder of the Laboratory of Image and Sound of Anthropology (LISA) and the editor in charge of the Gesture, Image and Sound.  Journal of Anthropology (GIS). In this interview, conducted by more than 30 advisees from different generations, Sylvia talks about her trajectory, projects, worldview, her various travels, her fascination with field research and the university. When telling about her academic and personal trajectory, Sylvia reflects on her relationship with photography and the production of images

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories: a pooled analysis of 2181 population-based studies with 65 million participants

Summary Background Comparable global data on health and nutrition of school-aged children and adolescents are scarce. We aimed to estimate age trajectories and time trends in mean height and mean body-mass index (BMI), which measures weight gain beyond what is expected from height gain, for school-aged children and adolescents. Methods For this pooled analysis, we used a database of cardiometabolic risk factors collated by the Non-Communicable Disease Risk Factor Collaboration. We applied a Bayesian hierarchical model to estimate trends from 1985 to 2019 in mean height and mean BMI in 1-year age groups for ages 5–19 years. The model allowed for non-linear changes over time in mean height and mean BMI and for non-linear changes with age of children and adolescents, including periods of rapid growth during adolescence. Findings We pooled data from 2181 population-based studies, with measurements of height and weight in 65 million participants in 200 countries and territories. In 2019, we estimated a difference of 20 cm or higher in mean height of 19-year-old adolescents between countries with the tallest populations (the Netherlands, Montenegro, Estonia, and Bosnia and Herzegovina for boys; and the Netherlands, Montenegro, Denmark, and Iceland for girls) and those with the shortest populations (Timor-Leste, Laos, Solomon Islands, and Papua New Guinea for boys; and Guatemala, Bangladesh, Nepal, and Timor-Leste for girls). In the same year, the difference between the highest mean BMI (in Pacific island countries, Kuwait, Bahrain, The Bahamas, Chile, the USA, and New Zealand for both boys and girls and in South Africa for girls) and lowest mean BMI (in India, Bangladesh, Timor-Leste, Ethiopia, and Chad for boys and girls; and in Japan and Romania for girls) was approximately 9–10 kg/m2. In some countries, children aged 5 years started with healthier height or BMI than the global median and, in some cases, as healthy as the best performing countries, but they became progressively less healthy compared with their comparators as they grew older by not growing as tall (eg, boys in Austria and Barbados, and girls in Belgium and Puerto Rico) or gaining too much weight for their height (eg, girls and boys in Kuwait, Bahrain, Fiji, Jamaica, and Mexico; and girls in South Africa and New Zealand). In other countries, growing children overtook the height of their comparators (eg, Latvia, Czech Republic, Morocco, and Iran) or curbed their weight gain (eg, Italy, France, and Croatia) in late childhood and adolescence. When changes in both height and BMI were considered, girls in South Korea, Vietnam, Saudi Arabia, Turkey, and some central Asian countries (eg, Armenia and Azerbaijan), and boys in central and western Europe (eg, Portugal, Denmark, Poland, and Montenegro) had the healthiest changes in anthropometric status over the past 3·5 decades because, compared with children and adolescents in other countries, they had a much larger gain in height than they did in BMI. The unhealthiest changes—gaining too little height, too much weight for their height compared with children in other countries, or both—occurred in many countries in sub-Saharan Africa, New Zealand, and the USA for boys and girls; in Malaysia and some Pacific island nations for boys; and in Mexico for girls. Interpretation The height and BMI trajectories over age and time of school-aged children and adolescents are highly variable across countries, which indicates heterogeneous nutritional quality and lifelong health advantages and risks

Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants.

BACKGROUND: Hypertension can be detected at the primary health-care level and low-cost treatments can effectively control hypertension. We aimed to measure the prevalence of hypertension and progress in its detection, treatment, and control from 1990 to 2019 for 200 countries and territories. METHODS: We used data from 1990 to 2019 on people aged 30-79 years from population-representative studies with measurement of blood pressure and data on blood pressure treatment. We defined hypertension as having systolic blood pressure 140 mm Hg or greater, diastolic blood pressure 90 mm Hg or greater, or taking medication for hypertension. We applied a Bayesian hierarchical model to estimate the prevalence of hypertension and the proportion of people with hypertension who had a previous diagnosis (detection), who were taking medication for hypertension (treatment), and whose hypertension was controlled to below 140/90 mm Hg (control). The model allowed for trends over time to be non-linear and to vary by age. FINDINGS: The number of people aged 30-79 years with hypertension doubled from 1990 to 2019, from 331 (95% credible interval 306-359) million women and 317 (292-344) million men in 1990 to 626 (584-668) million women and 652 (604-698) million men in 2019, despite stable global age-standardised prevalence. In 2019, age-standardised hypertension prevalence was lowest in Canada and Peru for both men and women; in Taiwan, South Korea, Japan, and some countries in western Europe including Switzerland, Spain, and the UK for women; and in several low-income and middle-income countries such as Eritrea, Bangladesh, Ethiopia, and Solomon Islands for men. Hypertension prevalence surpassed 50% for women in two countries and men in nine countries, in central and eastern Europe, central Asia, Oceania, and Latin America. Globally, 59% (55-62) of women and 49% (46-52) of men with hypertension reported a previous diagnosis of hypertension in 2019, and 47% (43-51) of women and 38% (35-41) of men were treated. Control rates among people with hypertension in 2019 were 23% (20-27) for women and 18% (16-21) for men. In 2019, treatment and control rates were highest in South Korea, Canada, and Iceland (treatment >70%; control >50%), followed by the USA, Costa Rica, Germany, Portugal, and Taiwan. Treatment rates were less than 25% for women and less than 20% for men in Nepal, Indonesia, and some countries in sub-Saharan Africa and Oceania. Control rates were below 10% for women and men in these countries and for men in some countries in north Africa, central and south Asia, and eastern Europe. Treatment and control rates have improved in most countries since 1990, but we found little change in most countries in sub-Saharan Africa and Oceania. Improvements were largest in high-income countries, central Europe, and some upper-middle-income and recently high-income countries including Costa Rica, Taiwan, Kazakhstan, South Africa, Brazil, Chile, Turkey, and Iran. INTERPRETATION: Improvements in the detection, treatment, and control of hypertension have varied substantially across countries, with some middle-income countries now outperforming most high-income nations. The dual approach of reducing hypertension prevalence through primary prevention and enhancing its treatment and control is achievable not only in high-income countries but also in low-income and middle-income settings. FUNDING: WHO