نتائج البحث - "V. C. Parro"

1

دورية أكاديمية

Predicting COVID-19 in very large countries: The case of Brazil.

المؤلفون: V C Parro, M L M Lafetá, F Pait, F B Ipólito, T N Toporcov

المصدر: PLoS ONE, Vol 16, Iss 7, p e0253146 (2021)

مصطلحات موضوعية: Medicine, Science

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/1932-6203Test

الوصول الحر: https://doaj.org/article/6b57c99ff3b04629bb92ae3f13de2249Test

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النص الكامل

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Predicting COVID-19 in very large countries: The case of Brazil

المؤلفون: F B Ipólito, M L M Lafetá, Felipe Pait, V. C. Parro, Tatiana Natasha Toporcov

المصدر: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
PLoS ONE, Vol 16, Iss 7, p e0253146 (2021)
PLoS ONE

مصطلحات موضوعية: 0301 basic medicine, Viral Diseases, Pulmonology, Computer science, Epidemiology, Geographical locations, Machine Learning, 0302 clinical medicine, Medical Conditions, Econometrics, Medicine and Health Sciences, 030212 general & internal medicine, Linear combination, media_common, Multidisciplinary, Applied Mathematics, Simulation and Modeling, Infectious Diseases, Physical Sciences, Medicine, Brazil, Algorithms, Healthcare system, Research Article, Optimization, 2019-20 coronavirus outbreak, Computer and Information Sciences, Coronavirus disease 2019 (COVID-19), Death Rates, media_common.quotation_subject, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Science, Research and Analysis Methods, Infectious Disease Epidemiology, 03 medical and health sciences, Respiratory Disorders, Machine Learning Algorithms, Population Metrics, Artificial Intelligence, Humans, Quality (business), Pandemics, Models, Statistical, Population Biology, SARS-CoV-2, COVID-19, Biology and Life Sciences, Covid 19, South America, 030104 developmental biology, Respiratory Infections, BRASIL, People and places, Delivery of Health Care, Mathematics, Free parameter

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f728fd631447ac29d5adb225fcd2be9dTest

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صورة

Comparison of predictions using the estimated models, with each state real data.

المؤلفون: V. C. Parro (11060435), M. L. M. Lafetá (11060438), F. Pait (11060441), F. B. Ipólito (11060444), T. N. Toporcov (11060447)

العلاقة: https://figshare.com/articles/figure/Comparison_of_predictions_using_the_estimated_models_with_each_state_real_data_/14893904Test

الإتاحة: https://doi.org/10.1371/journal.pone.0253146.g001Test

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4

صورة

Prediction of the proportion of the population to attend to health care systems in Brazil.

المؤلفون: V. C. Parro (11060435), M. L. M. Lafetá (11060438), F. Pait (11060441), F. B. Ipólito (11060444), T. N. Toporcov (11060447)

العلاقة: https://figshare.com/articles/figure/Prediction_of_the_proportion_of_the_population_to_attend_to_health_care_systems_in_Brazil_/14893913Test

الإتاحة: https://doi.org/10.1371/journal.pone.0253146.g004Test

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5

صورة

R 2 value comparing the predictions with the real data of each state and the reliability metric that shows the proportion of the data that is reliable to use on the learning algorithm.

المؤلفون: V. C. Parro (11060435), M. L. M. Lafetá (11060438), F. Pait (11060441), F. B. Ipólito (11060444), T. N. Toporcov (11060447)

العلاقة: https://figshare.com/articles/figure/_i_R_i_sup_2_sup_value_comparing_the_predictions_with_the_real_data_of_each_state_and_the_reliability_metric_that_shows_the_proportion_of_the_data_that_is_reliable_to_use_on_the_learning_algorithm_/14893907Test

الإتاحة: https://doi.org/10.1371/journal.pone.0253146.g002Test

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6

صورة

Comparison of predictions using the estimated models with real data for each state.

المؤلفون: V. C. Parro (11060435), M. L. M. Lafetá (11060438), F. Pait (11060441), F. B. Ipólito (11060444), T. N. Toporcov (11060447)

العلاقة: https://figshare.com/articles/figure/Comparison_of_predictions_using_the_estimated_models_with_real_data_for_each_state_/14893910Test

الإتاحة: https://doi.org/10.1371/journal.pone.0253146.g003Test

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7

صورة

Distributions of the estimated parameters D , R 0 , μ e λ, accumulated since the beginning of the pandemic, for all Brazilian states.

المؤلفون: V. C. Parro (11060435), M. L. M. Lafetá (11060438), F. Pait (11060441), F. B. Ipólito (11060444), T. N. Toporcov (11060447)

العلاقة: https://figshare.com/articles/figure/Distributions_of_the_estimated_parameters_i_D_i_i_R_i_sub_0_sub_i_i_e_accumulated_since_the_beginning_of_the_pandemic_for_all_Brazilian_states_/14893922Test

الإتاحة: https://doi.org/10.1371/journal.pone.0253146.g007Test

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8

صورة

Estimated values of R t for each state during the epidemic period in Brazil.

المؤلفون: V. C. Parro (11060435), M. L. M. Lafetá (11060438), F. Pait (11060441), F. B. Ipólito (11060444), T. N. Toporcov (11060447)

العلاقة: https://figshare.com/articles/figure/Estimated_values_of_i_R_i_sub_i_t_i_sub_for_each_state_during_the_epidemic_period_in_Brazil_/14893928Test

الإتاحة: https://doi.org/10.1371/journal.pone.0253146.g009Test

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9

صورة

Comparison of standard scaled R t from different estimate algorithms.

المؤلفون: V. C. Parro (11060435), M. L. M. Lafetá (11060438), F. Pait (11060441), F. B. Ipólito (11060444), T. N. Toporcov (11060447)

العلاقة: https://figshare.com/articles/figure/Comparison_of_standard_scaled_i_R_i_sub_i_t_i_sub_from_different_estimate_algorithms_/14893925Test

الإتاحة: https://doi.org/10.1371/journal.pone.0253146.g008Test

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10

صورة

Peak evolution of the epidemic in the Brazilian states illustrated in its temporal sequence of occurrence.

المؤلفون: V. C. Parro (11060435), M. L. M. Lafetá (11060438), F. Pait (11060441), F. B. Ipólito (11060444), T. N. Toporcov (11060447)

العلاقة: https://figshare.com/articles/figure/Peak_evolution_of_the_epidemic_in_the_Brazilian_states_illustrated_in_its_temporal_sequence_of_occurrence_/14893916Test

الإتاحة: https://doi.org/10.1371/journal.pone.0253146.g005Test

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