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

Agenda brasileira: primeira infância - Triagem neonatal/teste do pezinho no Brasil e no mundo

Aborda a história da triagem neonatal laboratorial no Brasil e no mundo, descrevendo-se, ainda, a realidade atual deste programa nos países desenvolvidos

Vitiligo

Consultoria Legislativa - Área XVI - Saúde Pública e Sanitarismo.O vitiligo é uma doença crônica da pele relativamente comum, não contagiosa, caracterizada pela presença de regiões nas quais ocorre despigmentação. Em consequência, essas regiões ficam mais claras que o restante do corpo do paciente. Não ocorre alteração nas funções orgânicas do indivíduo, porém as lesões de pele frequentemente afetam áreas expostas, levando a efeitos estéticos, necessidade de tratamento prolongado e, habitualmente, sofrimento psíquico

Resumo das alterações propostas na saúde suplementar, contidas no Projeto de Lei nº 7.419, de 2006 e apensos

Consultoria Legislativa - Área XVI - Saúde Pública e Sanitarismo.O Projeto de Lei nº 7.419, de 2006, originado do Senado, encabeça um bloco com mais de 260 projetos apensados, que abordam assuntos como direito a acompanhamento de paciente internado; ressarcimento ao erário público das despesas de beneficiários de planos que tenham sido atendidos no SUS; cobertura de planos de saúde; inclusão de procedimentos específicos no rol; carências; reajustes; rescisão ou suspensão do contrato; urgência e emergência; credenciamento, escolha de prestadores de serviço e reembolso; direitos do consumidor; manutenção do contrato após demissão, aposentadoria ou morte do titular; e Covid-19

Direito à saúde

Consultoria Legislativa - Área XVI - Saúde Pública e SanitarismoNeste relatório preliminar dedicado à saúde, são avaliadas recomendações para subsidiar a elaboração de relatório temático de direitos humanos pelo Observatório Parlamentar da Revisão Periódica Universal, referente ao cumprimento das recomendações feitas no âmbito da RPU/ON

Observatório Parlamentar da Revisão Periódica Universal: direito à saúde

o Brasil teve sucesso no cumprimento das recomendações relativas ao aumento da cobertura da rede de assistência básica, redução da mortalidade infantil, redução no número de novos casos e óbitos por HIV/AIDS, aumento da cobertura do pré-natal, aumento do uso de contraceptivos e a redução da mortalidade materna e perinatal. Avalia-se que está em processo de cumprimento das recomendações relativas à implementação de políticas de saúde inclusivas, ao reforço no número de profissionais atuantes no sistema de saúde, ao aumento no acesso aos abortos legais. Conclui-se que houve retrocesso no acesso à saúde de populações vulneráveis e na realização de exames de rastreamento do câncer de mama e câncer de colo, e que não foi cumprida a recomendação de redução da disparidade na expectativa de vida entre as populações