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

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

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

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

Prevalência e fatores associados aos transtornos mentais comuns em residentes médicos e da área multiprofissional

OBJETIVO: Determinar a prevalência de transtornos mentais comuns (TMC) e sua associação a fatores sociodemográficos e profissionais em residentes de medicina, enfermagem, nutrição e saúde coletiva da cidade do Recife (PE). MÉTODOS: Estudo transversal foi conduzido, em 2007, envolvendo uma amostra aleatória de 178 residentes que responderam a questões sociodemográficas e sobre a formação profissional e ao Self-Reporting Questionnaire (SRQ-20). Calcularam-se as prevalências de TMC e estimaram-se as razões de prevalência (RP) e os intervalos de confiança. RESULTADOS: A prevalência total dos TMC foi de 51,1% e não se observou associação aos fatores sociodemográficos. A prevalência do evento foi 39% maior nos médicos que nos não médicos (p = 0,049) e 46% maior em residentes médicos das especialidades cirúrgicas que entre os de enfermagem, nutrição e saúde coletiva (p = 0,048). Cinco das queixas do SRQ-20 foram mais frequentes no sexo feminino (p < 0,05). CONCLUSÃO: Os dados demonstram a elevada magnitude dos TMC nessa população, principalmente nos residentes médicos, e servem para educadores e gestores de serviços de saúde no sentido de viabilizar estratégias para prevenir e recuperar a qualidade de vida dos residentes

Prevalência e fatores associados aos transtornos mentais comuns em residentes médicos e da área multiprofissional Prevalence and factors associated with commom mental disorders in medical and multiprofessional health residents

OBJETIVO: Determinar a prevalência de transtornos mentais comuns (TMC) e sua associação a fatores sociodemográficos e profissionais em residentes de medicina, enfermagem, nutrição e saúde coletiva da cidade do Recife (PE). MÉTODOS: Estudo transversal foi conduzido, em 2007, envolvendo uma amostra aleatória de 178 residentes que responderam a questões sociodemográficas e sobre a formação profissional e ao Self-Reporting Questionnaire (SRQ-20). Calcularam-se as prevalências de TMC e estimaram-se as razões de prevalência (RP) e os intervalos de confiança. RESULTADOS: A prevalência total dos TMC foi de 51,1% e não se observou associação aos fatores sociodemográficos. A prevalência do evento foi 39% maior nos médicos que nos não médicos (p = 0,049) e 46% maior em residentes médicos das especialidades cirúrgicas que entre os de enfermagem, nutrição e saúde coletiva (p = 0,048). Cinco das queixas do SRQ-20 foram mais frequentes no sexo feminino (p < 0,05). CONCLUSÃO: Os dados demonstram a elevada magnitude dos TMC nessa população, principalmente nos residentes médicos, e servem para educadores e gestores de serviços de saúde no sentido de viabilizar estratégias para prevenir e recuperar a qualidade de vida dos residentes.<br>OBJECTIVE: To determine the prevalence of common mental disorders (CMD) and its association with sociodemographics and professionals resident in medicine, nursing, nutrition and public health from the city of Recife (PE). METHODS: A survey was conducted in 2007, involving a random sample of 178 residents, who responded to question about sociodemographics and professional training and the Self-Reporting Questionnaire (SRQ-20). The prevalence of CMD were calculated, also prevalence ratios (PR) and confidence intervals were estimated. RESULTS: The overall prevalence of CMD was 51.1%, and there was no association with sociodemographics factors. The prevalence of the event was 39% higher among the physicians than in the non-medical (p = 0,049) and 46% greater in the surgical specialties medical residents than among nursing, nutrition and public health (p = 0,048). Five of the SRQ-20 items were more frequent in female (p < 0,05). CONCLUSION: These findings indicate the high magnitude of CMD in this population, especially medical residents and serve to educators and managers of health services in order to define strategies to prevent and recover the mental health and the quality of life of the residents

Prevalence evolution of SARS-CoV-2 infection in the city of São Paulo, 2020–2021

OBJECTIVE To estimate the evolution of the prevalence of SARS-CoV-2 virus infection among residents aged 18 years or over in the municipality of São Paulo. METHODS This is a population-based household survey conducted every 15 days, between June and September 2020, and January and February 2021. In total, the study comprised 11 phases. The presence of antibodies against SARS-CoV-2 was identified in venous blood using a lateral flow test, Wondfo Biotech. In the last phase, the researchers combined it with an immunoenzymatic test, Euroimmun. The participants also answered a semi-structured questionnaire on sociodemographic and economic factors, and on social distancing measures. Prevalence estimates and the 95% confidence interval were estimated according to regions, Human Development Index, sex, age group, ethnicity, education, income, and variables associated with risk or prevention of infection. To compare the frequencies among the categories of each variable, the chi-square test with Rao-Scott correction was used, considering a significance level of 5%. RESULTS In total, 23,397 individuals were interviewed and had their samples collected. The estimated prevalence of antibodies against SARS-CoV-2 ranged from 9.7% (95%CI: 7.9–11.8%) to 25.0% (95%CI: 21.7–28.7). The prevalence of individuals with antibodies against the virus was higher among black and brown people, people with lower schooling and income, and among residents of regions with lower Human Development Index. The lowest prevalences were associated with recommended measures of disease protection. The proportion of asymptomatic infection was 45.1%. CONCLUSION The estimated prevalence of the infection was lower than the cumulative incidence variation, except for the last phase of the study. The differences in prevalence estimates observed among subpopulations showed social inequality as a risk of infection. The lower prevalence observed among those who could follow prevention measures reinforce the need to maintain social distancing measures as a way to prevent SARS-CoV-2 infection

Professores e Alunos: o engendramento da violência da escola

The school violence engendering is partially analyzed, considering the violence production in the school environment. This is a bibliographic research with quantitative and qualitative approach. Sources: 77 theses and 15 dissertations carried out in Brazil (2007 to 2012). Data collection and organization: Content Analysis. Main reference: Bernard Charlot and Pierre Bourdieu. Results: the sources showed that Brazilian teachers participate effectively in the school violence engendering, contributing to violence production in the school environment. The students are the main victims. The teacher is less affected by physical and verbal violence. The symbolic power is the most perpetrated by the teacher against the student. The school also plays a major role in it.Analisa-se o engendramento de uma face da violência da escola, tendo em vista a produção da violência em espaço escolar. Pesquisa bibliográfica quanti-qualitativa. Fontes: 77 dissertações e 15 teses produzidas no Brasil (2007 a 2012). Coleta e organização dos dados: Análise de Conteúdo. Fundamentação base: Bernard Charlot e Pierre Bourdieu. Resultados: as fontes apontaram que professores brasileiros são protagonistas na constituição da violência da escola, contribuindo para a produção da violência em espaço escolar. Os alunos são as principais vítimas dessa violência. O professor sofre menos violência física e verbal do que o aluno. A violência simbólica é a mais usada pelo professor contra o aluno. A escola também usa desse expediente