Co-infecção HIV/tuberculose: necessidade de uma vigilância mais efetiva

O agravamento da endemia tuberculosa tem induzido à reformulação dos programas antituberculose em inúmeros países. Entre as causas deste recrudescimento estão a imigração, a pobreza, a diminuição de recursos para os programas de controle e a associação HIV/Mycobacterium tuberculosis. Inúmeros estudos demonstram que um indivíduo infectado pelo HIV tem risco de adoecimento muito maior que a população geral mas, a despeito desta evidência, a busca sistemática por soropositivos entre os tuberculosos não é realizada. Discute-se a realização de teste anti-HIV rotineiramente por ocasião do diagnóstico de tuberculose, desde que mantido o sigilo da informação, com vistas a incrementar a descoberta de casos e fornecer maior subsídio à vigilância da co-infecção.The increasing endemicity of tuberculosis resulting from causes such as immigration, poverty, a declining public health infrastructure and co-infection by HIV/Mycobacterium tuberculosis, is leading to a change in tuberculosis control programmes. One of the main reasons for the resurgence of tuberculosis is HIV infection - the risk of tuberculosis is greater in HIV patients than in the majority of the population as can be seen from numerous research projects. The need for systematic testing for HIV infection in all tuberculosis patients by undertaking confidential HIV tests on admission to a tuberculosis programme is brought out. This measure would increase the number of cases diagnosed and provide data for better surveillance of the co-infection

Monitoring anti-tuberculosis activities: graphic charts based on standard deviation units and ranking chart based on summary index

A monitorização de 30 indicadores epidemiológico-operacionais do programa antituberculose, executado por Unidades de Saúde, é uma tarefa complexa, quando realizada em função de normas técnicas. Os AA apresentam metodologia em uso no Japão, modificada e adaptada à realidade de São Paulo, onde foi testada em 62 unidades de Saúde que, em 1993, atenderam e notificaram 5.622 doentes acompanhados durante 14 meses. O método pressupõe, para cada indicador, distribuição gaussiana dos valores originais ou transformados matematicamente. O desempenho das Unidades em cada indicador foi comparado com a Média do conjunto, usando-se como medida a Unidade Desvio Padrão. Em 65% dos indicadores, não houve necessidade de reexpressão dos resultados e só um deles resistiu a todas as transformações tentadas. Definiu-se medida-síntese para a elaboração de Tabela de Classificação dividida em quatro setores pelos três quartis da distribuição. O desempenho do conjunto ficou aquém do esperado (a mediana foi negativa). Analisadas algumas Cartas Gráficas, a título de demonstração, foram identificadas atividades prioritárias para supervisão. A metodologia e suas modificações, bem como os resultados, foram discutidos, concluindo-se pela sua aplicabilidade. Conjugada à avaliação tradicional poderá ser de grande valia, inclusive para acompanhar a evolução do conjunto.Tuberculosis activities monitoring can be a difficult task when dealing with a list of 30 indices to be compared with norms. A new methodology of analysis based on the Evaluation Charts used in Japan, modified and adapted, was experimented in 62 Health Centres of the metropolitan area of São Paulo - Brazil. These Centres have notified 5.622 cases throughout 1993, whose data were monitored for 14 months. The methodology assumes a normal distribution of the indices in original value or some mathematical function on them. For each index the deviation from the mean of the whole was expressed by using the standard deviation as a single scale for all the items of the set used for construction of a Grafic Chart for every Health Centre. Reexpression of data was not necessary in about 65% of the indices. A summary index calculated for each one of the Health Centres was used for ranking them from top to bottom of the group (ranking chart). The group’s perfomance was less than predicted with a negative median value. A detailed analysis of 5 Grafic Charts was done having in mind to demonstrate the interpretation of the results. Conclusions: The experimental methodology is a feasible one; it could be a valuable tool regarding the supervision of Health Institutions engaged in the tuberculosis control programme

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

HIV/tuberculosis co-infection: a request for a better surveillance

The increasing endemicity of tuberculosis resulting from causes such as immigration, poverty, a declining public health infrastructure and co-infection by HIV/Mycobacterium tuberculosis, is leading to a change in tuberculosis control programmes. One of the main reasons for the resurgence of tuberculosis is HIV infection - the risk of tuberculosis is greater in HIV patients than in the majority of the population as can be seen from numerous research projects. The need for systematic testing for HIV infection in all tuberculosis patients by undertaking confidential HIV tests on admission to a tuberculosis programme is brought out. This measure would increase the number of cases diagnosed and provide data for better surveillance of the co-infection

HIV/tuberculosis co-infection: a request for a better surveillance Co-infecção HIV/tuberculose: necessidade de uma vigilância mais efetiva

The increasing endemicity of tuberculosis resulting from causes such as immigration, poverty, a declining public health infrastructure and co-infection by HIV/Mycobacterium tuberculosis, is leading to a change in tuberculosis control programmes. One of the main reasons for the resurgence of tuberculosis is HIV infection - the risk of tuberculosis is greater in HIV patients than in the majority of the population as can be seen from numerous research projects. The need for systematic testing for HIV infection in all tuberculosis patients by undertaking confidential HIV tests on admission to a tuberculosis programme is brought out. This measure would increase the number of cases diagnosed and provide data for better surveillance of the co-infection.<br>O agravamento da endemia tuberculosa tem induzido à reformulação dos programas antituberculose em inúmeros países. Entre as causas deste recrudescimento estão a imigração, a pobreza, a diminuição de recursos para os programas de controle e a associação HIV/Mycobacterium tuberculosis. Inúmeros estudos demonstram que um indivíduo infectado pelo HIV tem risco de adoecimento muito maior que a população geral mas, a despeito desta evidência, a busca sistemática por soropositivos entre os tuberculosos não é realizada. Discute-se a realização de teste anti-HIV rotineiramente por ocasião do diagnóstico de tuberculose, desde que mantido o sigilo da informação, com vistas a incrementar a descoberta de casos e fornecer maior subsídio à vigilância da co-infecção