16 research outputs found

    A Contribuição das Políticas Indutoras na Formação de Especialistas em Medicina de Família e Comunidade: um Estudo sobre as Residências Médicas

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    Artigo apresentado à Universidade Federal da Integração Latino-Americana como requisito parcial para a obtenção do título de Especialista em Gestão da SaúdeAs políticas públicas são instrumentos importantes para a gestão em saúde, podendo assumir um papel de indução de transformação de determinada realidade. No Sistema Único de Saúde (SUS), as políticas indutoras são ferramentas que permitem alcançar objetivos estratégicos. Sendo o Médico de Família e Comunidade (MFC) o especialista em atenção primária, buscou-se destacar a contribuição das políticas indutoras no direcionamento da formação deste profissional por meio das Residências Médicas. A pesquisa é do tipo Exploratória, feita a partir de revisão bibliográfica e análise documental. Dois processos de indução se destacaram: o Pró-Residência que teve a MFC como a especialidade com maior número de vagas ofertadas desde sua criação, e o Programa Mais Médicos considerado a maior mudança em relação a ordenação da formação em saúde no país. Espera-se, assim, contribuir com as discussões desta temática que, de tão relevante, compõe a agenda de pesquisas prioritárias do Ministério da Saúd

    Brazilian malnutrition-related infant mortality up to 11 months

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    Childhood malnutrition in Brazil has a profound impact on the physical and cognitive development of children, compromising their future and perpetuating the cycle of poverty. Moreover, death from this condition can define important aspects in the context of public health in the country. The objective of this study was to analyze and describe the peculiarities of deaths from child malnutrition in Brazil between the years 1996 and 2021. This is an ecological, epidemiological, cross-sectional, descriptive, and quantitative study of deaths due to malnutrition in children up to 11 months of age between 1996 and 2021, with the Brazilian states as the unit of analysis. The methodological strategy involved the analysis of raw data made available by the Sistema de Informações sobre Mortalidade (SIM). A total of 17.300 deaths due to malnutrition were reported in the studied population. The year 1998 had the highest number of deaths in the period, with 1.766, representing 10.2% of the notifications. The Northeast and Southeast regions presented the highest prevalence of deaths. The states of Bahia, Pernambuco, São Paulo, Minas Gerais and Ceará had the highest number of deaths from infant malnutrition. The predominant characteristics of the victims were female, brown, with birth weight between 2500 and 3999 g, and age up to 3 months. Young pregnant women (between 15 and 29 years old) and those with a medium level of education were the most predisposed. Among deliveries, gestations between 37 and 41 weeks, single gestations, and vaginal deliveries were relevant in determining mortality. In conclusion, it is crucial to adopt prevention measures and access to education to eradicate mortality from child malnutrition in Brazil.A desnutrição infantil no Brasil tem um impacto profundo no desenvolvimento físico e cognitivo das crianças, comprometendo seu futuro e perpetuando o ciclo da pobreza. Além disso, o óbito proveniente dessa condição pode definir aspectos importantes no contexto da saúde pública do país. O objetivo deste estudo foi analisar e descrever as peculiaridades dos óbitos por desnutrição infantil no Brasil entre os anos de 1996 e 2021. Trata-se de um estudo ecológico, epidemiológico, transversal, descritivo e quantitativo dos óbitos por desnutrição em crianças com até 11 meses de idade no período de 1996 a 2021, tendo como unidade de análise os estados brasileiros. A estratégia metodológica envolveu a análise dos dados brutos disponibilizados pelo Sistema de Informações sobre Mortalidade (SIM). Foram notificados 17.300 óbitos devido a desnutrição na população estudada. O ano de 1998 foi o que apresentou o maior número de óbitos no período, com 1.766, representando 10.2% das notificações. As regiões Nordeste e Sudeste apresentaram a maior prevalência das mortes. Os estados da Bahia, Pernambuco, São Paulo, Minas Gerais e Ceará foram os estados com maior número de óbitos por desnutrição infantil. As características predominantes das vítimas foram o sexo feminino, pardas, com peso ao nascimento entre 2500 e 3999 g, e idade até os 3 meses. As gestantes jovens (entre 15 e 29 anos) e aquelas com nível médio de escolaridade foram as mais predispostas. Entre os partos, as gestações entre 37 e 41 semanas, as gestações únicas e os partos vaginais foram relevantes na determinação da mortalidade. Em suma, é crucial adotar medidas de prevenção e acesso à educação para erradicar a mortalidade por desnutrição infantil no Brasil

    Catálogo Taxonômico da Fauna do Brasil: setting the baseline knowledge on the animal diversity in Brazil

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    The limited temporal completeness and taxonomic accuracy of species lists, made available in a traditional manner in scientific publications, has always represented a problem. These lists are invariably limited to a few taxonomic groups and do not represent up-to-date knowledge of all species and classifications. In this context, the Brazilian megadiverse fauna is no exception, and the Catálogo Taxonômico da Fauna do Brasil (CTFB) (http://fauna.jbrj.gov.br/), made public in 2015, represents a database on biodiversity anchored on a list of valid and expertly recognized scientific names of animals in Brazil. The CTFB is updated in near real time by a team of more than 800 specialists. By January 1, 2024, the CTFB compiled 133,691 nominal species, with 125,138 that were considered valid. Most of the valid species were arthropods (82.3%, with more than 102,000 species) and chordates (7.69%, with over 11,000 species). These taxa were followed by a cluster composed of Mollusca (3,567 species), Platyhelminthes (2,292 species), Annelida (1,833 species), and Nematoda (1,447 species). All remaining groups had less than 1,000 species reported in Brazil, with Cnidaria (831 species), Porifera (628 species), Rotifera (606 species), and Bryozoa (520 species) representing those with more than 500 species. Analysis of the CTFB database can facilitate and direct efforts towards the discovery of new species in Brazil, but it is also fundamental in providing the best available list of valid nominal species to users, including those in science, health, conservation efforts, and any initiative involving animals. The importance of the CTFB is evidenced by the elevated number of citations in the scientific literature in diverse areas of biology, law, anthropology, education, forensic science, and veterinary science, among others

    Orientações TCC e Iniciação Científica

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    Trabalhos dos orientandos da Profa. Denny Thame e materiais para pesquisa de Direito da Informática, da Comunicação, Internacional e Ambiental

    Núcleos de Ensino da Unesp: artigos 2013: volume 2: metodologias de ensino e a apropriação de conhecimento pelos alunos

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    Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP

    Núcleos de Ensino da Unesp: artigos 2013: volume 2: metodologias de ensino e a apropriação de conhecimento pelos alunos

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    Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP

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

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    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

    NEOTROPICAL XENARTHRANS: a data set of occurrence of xenarthran species in the Neotropics

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    Xenarthrans—anteaters, sloths, and armadillos—have essential functions for ecosystem maintenance, such as insect control and nutrient cycling, playing key roles as ecosystem engineers. Because of habitat loss and fragmentation, hunting pressure, and conflicts with domestic dogs, these species have been threatened locally, regionally, or even across their full distribution ranges. The Neotropics harbor 21 species of armadillos, 10 anteaters, and 6 sloths. Our data set includes the families Chlamyphoridae (13), Dasypodidae (7), Myrmecophagidae (3), Bradypodidae (4), and Megalonychidae (2). We have no occurrence data on Dasypus pilosus (Dasypodidae). Regarding Cyclopedidae, until recently, only one species was recognized, but new genetic studies have revealed that the group is represented by seven species. In this data paper, we compiled a total of 42,528 records of 31 species, represented by occurrence and quantitative data, totaling 24,847 unique georeferenced records. The geographic range is from the southern United States, Mexico, and Caribbean countries at the northern portion of the Neotropics, to the austral distribution in Argentina, Paraguay, Chile, and Uruguay. Regarding anteaters, Myrmecophaga tridactyla has the most records (n = 5,941), and Cyclopes sp. have the fewest (n = 240). The armadillo species with the most data is Dasypus novemcinctus (n = 11,588), and the fewest data are recorded for Calyptophractus retusus (n = 33). With regard to sloth species, Bradypus variegatus has the most records (n = 962), and Bradypus pygmaeus has the fewest (n = 12). Our main objective with Neotropical Xenarthrans is to make occurrence and quantitative data available to facilitate more ecological research, particularly if we integrate the xenarthran data with other data sets of Neotropical Series that will become available very soon (i.e., Neotropical Carnivores, Neotropical Invasive Mammals, and Neotropical Hunters and Dogs). Therefore, studies on trophic cascades, hunting pressure, habitat loss, fragmentation effects, species invasion, and climate change effects will be possible with the Neotropical Xenarthrans data set. Please cite this data paper when using its data in publications. We also request that researchers and teachers inform us of how they are using these data

    NEOTROPICAL CARNIVORES: a data set on carnivore distribution in the Neotropics

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    Mammalian carnivores are considered a key group in maintaining ecological health and can indicate potential ecological integrity in landscapes where they occur. Carnivores also hold high conservation value and their habitat requirements can guide management and conservation plans. The order Carnivora has 84 species from 8 families in the Neotropical region: Canidae; Felidae; Mephitidae; Mustelidae; Otariidae; Phocidae; Procyonidae; and Ursidae. Herein, we include published and unpublished data on native terrestrial Neotropical carnivores (Canidae; Felidae; Mephitidae; Mustelidae; Procyonidae; and Ursidae). NEOTROPICAL CARNIVORES is a publicly available data set that includes 99,605 data entries from 35,511 unique georeferenced coordinates. Detection/non-detection and quantitative data were obtained from 1818 to 2018 by researchers, governmental agencies, non-governmental organizations, and private consultants. Data were collected using several methods including camera trapping, museum collections, roadkill, line transect, and opportunistic records. Literature (peer-reviewed and grey literature) from Portuguese, Spanish and English were incorporated in this compilation. Most of the data set consists of detection data entries (n = 79,343; 79.7%) but also includes non-detection data (n = 20,262; 20.3%). Of those, 43.3% also include count data (n = 43,151). The information available in NEOTROPICAL CARNIVORES will contribute to macroecological, ecological, and conservation questions in multiple spatio-temporal perspectives. As carnivores play key roles in trophic interactions, a better understanding of their distribution and habitat requirements are essential to establish conservation management plans and safeguard the future ecological health of Neotropical ecosystems. Our data paper, combined with other large-scale data sets, has great potential to clarify species distribution and related ecological processes within the Neotropics. There are no copyright restrictions and no restriction for using data from this data paper, as long as the data paper is cited as the source of the information used. We also request that users inform us of how they intend to use the data
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