TECNOLOGIA E SAÚDE: TELEMEDICINA E SEU IMPACTO NA PRESTAÇÃO DE CUIDADOS DE SAÚDE

Telehealth, also known as telemedicine, represents a convergence between technology and health, revolutionizing the way healthcare is provided. With the advent of digital connectivity, telehealth offers a variety of medical services remotely, including virtual consultations, remote monitoring and health education. Objective: This study aims to conduct an integrative review of the literature on telehealth, exploring its impact on the provision of healthcare, identifying trends, benefits and associated challenges. Methodology: The study is a qualitative integrative review that investigates telemedicine in the provision of health care. Using electronic databases (SciELO and BVS), articles published in Portuguese between 2018 and 2022 were selected. Of the 43 articles initially identified, only five met the established inclusion and exclusion criteria. The inclusion criteria were studies that addressed telehealth and its impact on the provision of healthcare, published in the last ten years. The analysis of the selected articles was conducted with a focus on identifying trends, benefits and challenges. Results and Discussion: The review results highlight that telehealth has a significant impact on healthcare delivery, facilitating access to medical services, especially in remote or resource-poor areas. Additionally, telehealth has been shown to improve the efficiency of healthcare systems, reducing costs and increasing patient satisfaction. However, challenges such as regulatory issues, data security, and digital accessibility still need to be addressed to maximize the benefits of telehealth. Final Considerations: Telehealth represents a powerful tool for transforming healthcare delivery, offering a viable and effective alternative for the delivery of medical services. However, it is crucial that policies and strategies are implemented to ensure that telehealth is accessible, safe, and efficient for all individuals, regardless of their location or socioeconomic status.A telessaúde, também conhecida como telemedicina, representa uma convergência entre tecnologia e saúde, revolucionando a forma como os cuidados de saúde são prestados. Com o advento da conectividade digital, a telessaúde oferece uma variedade de serviços médicos à distância, incluindo consultas virtuais, monitoramento remoto e educação em saúde. Objetivo: Este estudo tem como objetivo realizar uma revisão integrativa da literatura sobre a telessaúde, explorando seu impacto na prestação de cuidados de saúde, identificando tendências, benefícios e desafios associados. Metodologia: O estudo é uma revisão integrativa qualitativa que investiga a telemedicina na prestação de cuidados na saúde. Utilizando bases de dados eletrônicas (SciELO e BVS), foram selecionados artigos publicados em português entre 2018 e 2022. Dos 43 artigos inicialmente identificados, apenas cinco atenderam aos critérios de inclusão e exclusão estabelecidos. Os critérios de inclusão foram estudos que abordassem a telessaúde e seu impacto na prestação de cuidados de saúde, publicados nos últimos dez anos. A análise dos artigos selecionados foi conduzida com foco em identificar tendências, benefícios e desafios. Resultados e Discussão: Os resultados da revisão destacam que a telessaúde tem um impacto significativo na prestação de cuidados de saúde, facilitando o acesso a serviços médicos, especialmente em áreas remotas ou carentes de recursos. Além disso, a telessaúde demonstrou melhorar a eficiência dos sistemas de saúde, reduzindo custos e aumentando a satisfação do paciente. No entanto, desafios como questões regulatórias, segurança de dados e acessibilidade digital ainda precisam ser abordados para maximizar os benefícios da telessaúde. Considerações Finais: A telessaúde representa uma ferramenta poderosa para transformar a prestação de cuidados de saúde, oferecendo uma alternativa viável e eficaz para a entrega de serviços médicos. No entanto, é crucial que políticas e estratégias sejam implementadas para garantir que a telessaúde seja acessível, segura e eficiente para todos os indivíduos, independentemente de sua localização ou condição socioeconômica

Níveis disfuncionais de ansiedade relacionada ao Coronavírus em estudantes de medicina: Dysfunctional levels of Coronavirus-related anxiety in medical students

As preocupações com a saúde mental das pessoas afetadas pela pandemia de coronavírus não foram abordadas adequadamente. Isso é surpreendente, uma vez que tragédias em massa, particularmente aquelas que envolvem doenças infecciosas, muitas vezes desencadeiam ondas de medo e ansiedade elevados que são conhecidos por causar perturbações maciças no comportamento e no bem-estar psicológico de muitos na população. Assim, o objetivo desse trabalho é demonstrar os níveis disfuncionais de ansiedade relacionada ao coronavírus em estudantes de medicina. Para isso, foi realizado uma revisão sistemática sobre a temática

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

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

Brazilian Flora 2020: Leveraging the power of a collaborative scientific network

International audienceThe shortage of reliable primary taxonomic data limits the description of biological taxa and the understanding of biodiversity patterns and processes, complicating biogeographical, ecological, and evolutionary studies. This deficit creates a significant taxonomic impediment to biodiversity research and conservation planning. The taxonomic impediment and the biodiversity crisis are widely recognized, highlighting the urgent need for reliable taxonomic data. Over the past decade, numerous countries worldwide have devoted considerable effort to Target 1 of the Global Strategy for Plant Conservation (GSPC), which called for the preparation of a working list of all known plant species by 2010 and an online world Flora by 2020. Brazil is a megadiverse country, home to more of the world's known plant species than any other country. Despite that, Flora Brasiliensis, concluded in 1906, was the last comprehensive treatment of the Brazilian flora. The lack of accurate estimates of the number of species of algae, fungi, and plants occurring in Brazil contributes to the prevailing taxonomic impediment and delays progress towards the GSPC targets. Over the past 12 years, a legion of taxonomists motivated to meet Target 1 of the GSPC, worked together to gather and integrate knowledge on the algal, plant, and fungal diversity of Brazil. Overall, a team of about 980 taxonomists joined efforts in a highly collaborative project that used cybertaxonomy to prepare an updated Flora of Brazil, showing the power of scientific collaboration to reach ambitious goals. This paper presents an overview of the Brazilian Flora 2020 and provides taxonomic and spatial updates on the algae, fungi, and plants found in one of the world's most biodiverse countries. We further identify collection gaps and summarize future goals that extend beyond 2020. Our results show that Brazil is home to 46,975 native species of algae, fungi, and plants, of which 19,669 are endemic to the country. The data compiled to date suggests that the Atlantic Rainforest might be the most diverse Brazilian domain for all plant groups except gymnosperms, which are most diverse in the Amazon. However, scientific knowledge of Brazilian diversity is still unequally distributed, with the Atlantic Rainforest and the Cerrado being the most intensively sampled and studied biomes in the country. In times of “scientific reductionism”, with botanical and mycological sciences suffering pervasive depreciation in recent decades, the first online Flora of Brazil 2020 significantly enhanced the quality and quantity of taxonomic data available for algae, fungi, and plants from Brazil. This project also made all the information freely available online, providing a firm foundation for future research and for the management, conservation, and sustainable use of the Brazilian funga and flora

NEOTROPICAL ALIEN MAMMALS: a data set of occurrence and abundance of alien mammals in the Neotropics

Biological invasion is one of the main threats to native biodiversity. For a species to become invasive, it must be voluntarily or involuntarily introduced by humans into a nonnative habitat. Mammals were among first taxa to be introduced worldwide for game, meat, and labor, yet the number of species introduced in the Neotropics remains unknown. In this data set, we make available occurrence and abundance data on mammal species that (1) transposed a geographical barrier and (2) were voluntarily or involuntarily introduced by humans into the Neotropics. Our data set is composed of 73,738 historical and current georeferenced records on alien mammal species of which around 96% correspond to occurrence data on 77 species belonging to eight orders and 26 families. Data cover 26 continental countries in the Neotropics, ranging from Mexico and its frontier regions (southern Florida and coastal-central Florida in the southeast United States) to Argentina, Paraguay, Chile, and Uruguay, and the 13 countries of Caribbean islands. Our data set also includes neotropical species (e.g., Callithrix sp., Myocastor coypus, Nasua nasua) considered alien in particular areas of Neotropics. The most numerous species in terms of records are from Bos sp. (n = 37,782), Sus scrofa (n = 6,730), and Canis familiaris (n = 10,084); 17 species were represented by only one record (e.g., Syncerus caffer, Cervus timorensis, Cervus unicolor, Canis latrans). Primates have the highest number of species in the data set (n = 20 species), partly because of uncertainties regarding taxonomic identification of the genera Callithrix, which includes the species Callithrix aurita, Callithrix flaviceps, Callithrix geoffroyi, Callithrix jacchus, Callithrix kuhlii, Callithrix penicillata, and their hybrids. This unique data set will be a valuable source of information on invasion risk assessments, biodiversity redistribution and conservation-related research. There are no copyright restrictions. Please cite this data paper when using the data in publications. We also request that researchers and teachers inform us on how they are using the data

Núcleos de Ensino da Unesp: artigos 2008

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq