5 research outputs found

    Country-specific lockdown measures in response to the COVID-19 pandemic and its impact on tuberculosis control: a global study

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    The objective of this study was to describe country-specific lockdown measures and tuberculosis indicators collected during the first year of the COVID-19 pandemic. Data on lockdown/social restrictions (compulsory face masks and hand hygiene; international and local travel restrictions; restrictions to family visits, and school closures) were collected from 24 countries spanning five continents. The majority of the countries implemented multiple lockdowns with partial or full reopening. There was an overall decrease in active tuberculosis, drug-resistant tuberculosis, and latent tuberculosis cases. Although national lockdowns were effective in containing COVID-19 cases, several indicators of tuberculosis were affected during the pandemic

    On the use of neuroevolutive methods as support tools for diagnosing appendicitis and tuberculosis

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    Artificial neural networks are being used in diagnosis support systems to detect different kind of diseases. As the design of multilayer perceptron is an open question, the present work shows a comparison between a traditional empirical way and neuroevolution method to find the best architecture to solve the disease detection problem. Tuberculosis and appendicitis databases were employed to test both proposals. Results show that neuroevolution offers a good alternative for the tuberculosis problem but there is lacks of performance in the appendicitis one.http://unidadinvestigacion.usta.edu.c
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