المؤلفون: Mayara Carolina Cañedo, Thiago Inácio Barros Lopes, Luana Rossato, Isadora Batista Nunes, Izadora Dillis Faccin, Túlio Máximo Salomé, Simone Simionatto

مصطلحات موضوعية: Medicine, Biotechnology, Science Policy, Biological Sciences not elsewhere classified, public health agencies, prediction results beyond, neural networks autoregression, distressing fatality rate, current mortality rate, 99 &# 177, 1996 &# 8211, 000 live births, highest mortality peak, country &# 8217, although nna provided, winters exponential smoothing, historical bmmr series, 19 pandemic scenario, nna ), highest number, country experienced, 19 pandemic, %22">xlink ">, temporal correlation, study revealed, study investigates, second quarter, sample data, previous period, mean bmmr

Relation: https://figshare.com/articles/journal_contribution/NNA_parameters_evaluated_to_BMMR_forecast_/25120602

الاتاحة: https://doi.org/10.1371/journal.pone.0296064.s007
https://figshare.com/articles/journal_contribution/NNA_parameters_evaluated_to_BMMR_forecast_/25120602

المؤلفون: Benamouzig, Daniel, Boubal, Camille

المصدر: Sociologie. 2022, 13(2), p. 125-141.

الاتاحة: https://www.cairn-int.info/article-E_SOCIO_132_0125--regulating-with-moderation-the-case-of-nutritional-recommendations.htm

المؤلفون: Stephanie Mazzucca (8576271), Louise Farah Saliba (6119216), Romario Smith (11952081), Emily Rodriguez Weno (11952084), Peg Allen (4522960), Margaret Padek (3570017), Ross C. Brownson (7861409)

مصطلحات موضوعية: Medicine, Sociology, Cancer, Science Policy, Infectious Diseases, Computational Biology, Biological Sciences not elsewhere classified, previous national survey, identify effective strategies, fit well within, deliver effective programs, ineffective programs continue, based public health, public health agencies, making around ending, implemented well due, expected program outcomes, administered qualitative interviews, ineffective programs continued, based programs effectively, makes programs ineffective, improve population health, program ineffective, based programs, continuing programs, continued implementation, transcribed verbatim, supporting adaptation, study sought, staff time

Relation: https://figshare.com/articles/journal_contribution/Additional_file_1_of_It_s_good_to_feel_like_you_re_doing_something_a_qualitative_study_examining_state_health_department_employees_views_on_why_ineffective_programs_continue_to_be_implemented_in_the_USA/18482490

الاتاحة: https://doi.org/10.6084/m9.figshare.18482490.v1

المؤلفون: Stephanie Mazzucca (8576271), Louise Farah Saliba (6119216), Romario Smith (11952081), Emily Rodriguez Weno (11952084), Peg Allen (4522960), Margaret Padek (3570017), Ross C. Brownson (7861409)

مصطلحات موضوعية: Medicine, Sociology, Cancer, Science Policy, Infectious Diseases, Computational Biology, Biological Sciences not elsewhere classified, previous national survey, identify effective strategies, fit well within, deliver effective programs, ineffective programs continue, based public health, public health agencies, making around ending, implemented well due, expected program outcomes, administered qualitative interviews, ineffective programs continued, based programs effectively, makes programs ineffective, improve population health, program ineffective, based programs, continuing programs, continued implementation, transcribed verbatim, supporting adaptation, study sought, staff time

Relation: https://figshare.com/articles/journal_contribution/Additional_file_2_of_It_s_good_to_feel_like_you_re_doing_something_a_qualitative_study_examining_state_health_department_employees_views_on_why_ineffective_programs_continue_to_be_implemented_in_the_USA/18482493

الاتاحة: https://doi.org/10.6084/m9.figshare.18482493.v1

المؤلفون: Lan Li, Aisha Aldosery, Fedor Vitiugin, Naomi Nathan, David Novillo-Ortiz, Carlos Castillo, Patty Kostkova

المصدر: Frontiers in Public Health, Vol 9 (2021)

مصطلحات موضوعية: social media, Twitter, COVID-19, topic modeling, government, public health agencies, Public aspects of medicine, RA1-1270

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fpubh.2021.716333/full; https://doaj.org/toc/2296-2565

URL الوصول: https://doaj.org/article/4c952d3e15cd446c8715e25fa4dc82f9

المؤلفون: Li, L, Aldosery, A, Vitiugin, F, Nathan, N, Novillo-Ortiz, D, Castillo, C, Kostkova, P

المصدر: Frontiers in Public Health , 9 , Article 716333. (2021)

مصطلحات موضوعية: COVID-19, Twitter, government, public health agencies, public health emergencies, social media, topic modeling, Humans, Pandemics, Public Health, SARS-CoV-2

وصف الملف: text

Relation: https://discovery.ucl.ac.uk/id/eprint/10137141/1/Kostkova_The%20Response%20of%20Governments%20and%20Public%20Health%20Agencies%20to%20COVID-19%20Pandemics%20on%20Social%20Media_VoR.pdf; https://discovery.ucl.ac.uk/id/eprint/10137141/

الاتاحة: https://discovery.ucl.ac.uk/id/eprint/10137141/1/Kostkova_The%20Response%20of%20Governments%20and%20Public%20Health%20Agencies%20to%20COVID-19%20Pandemics%20on%20Social%20Media_VoR.pdf
https://discovery.ucl.ac.uk/id/eprint/10137141/

المؤلفون: Brad Brown (11530042), Marc Allard (281187), Michael C. Bazaco (11530045), Joseph Blankenship (11530048), Travis Minor (492566)

مصطلحات موضوعية: Genetics, Ecology, Cancer, Science Policy, Infectious Diseases, Biological Sciences not elsewhere classified, public health agencies, pathogen detection program, cost benefit analyses, annual health benefits, 22 million investment, potential food contamination, improve food safety, public ncbi database, monte carlo analysis, div >< p, estimate benefits, 500 million, study presents, second year, salmonella <, related illnesses, per year, outbreak illnesses, national center, listeria <, existing literature, economic evaluation, e <, drug administration

Relation: https://figshare.com/articles/journal_contribution/Supplementary_material_/16754101

الاتاحة: https://doi.org/10.1371/journal.pone.0258262.s001

المؤلفون: Lennart Justen (11785092), Duncan Carlsmith (11785095), Susan M. Paskewitz (11785098), Lyric C. Bartholomay (8947226), Gebbiena M. Bron (9160623)

مصطلحات موضوعية: Medicine, Ecology, Sociology, Science Policy, Infectious Diseases, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, using confidence thresholds, pixels ), plays, like lyme disease, ixodes scapularis <, formal entomological training, discuss remaining challenges, dermacentor variabilis <, amblyomma americanum <, public health consequences, public health agencies, convolutional neural network, used image augmentation, div >< p, deep learning represents, borne diseases represent, identification accuracy across, automated tick identification, deep learning, borne diseases, general public, network ’, tick identification

Relation: https://figshare.com/articles/journal_contribution/S1_Table_-/17115417

الاتاحة: https://doi.org/10.1371/journal.pone.0260622.s002

المؤلفون: Lennart Justen (11785092), Duncan Carlsmith (11785095), Susan M. Paskewitz (11785098), Lyric C. Bartholomay (8947226), Gebbiena M. Bron (9160623)

مصطلحات موضوعية: Medicine, Ecology, Sociology, Science Policy, Infectious Diseases, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, using confidence thresholds, pixels ), plays, like lyme disease, ixodes scapularis <, formal entomological training, discuss remaining challenges, dermacentor variabilis <, amblyomma americanum <, public health consequences, public health agencies, convolutional neural network, used image augmentation, div >< p, deep learning represents, borne diseases represent, identification accuracy across, automated tick identification, deep learning, borne diseases, general public, network ’, tick identification

Relation: https://figshare.com/articles/journal_contribution/Multivariable_model_selection_and_estimates_of_the_relationship_between_correct_predictions_by_TickIDNet_tick_characteristics_and_Relative_Tick_Size_RTS_pixels_/17115420

الاتاحة: https://doi.org/10.1371/journal.pone.0260622.s003

المؤلفون: Samuel M. Nicholls (11063414), Radoslaw Poplawski (11063417), Matthew J. Bull (4067785), Anthony Underwood (23932), Michael Chapman (11063420), Khalil Abu-Dahab (11063423), Ben Taylor (264515), Rachel M. Colquhoun (11063426), Will P. M. Rowe (6208268), Ben Jackson (128953), Verity Hill (11063429), Áine O’Toole (11063432), Sara Rey (556080), Joel Southgate (11063435), Roberto Amato (197159), Rich Livett (11063438), Sónia Gonçalves (354053), Ewan M. Harrison (11063441), Sharon J. Peacock (9931415), David M. Aanensen (7538114), Andrew Rambaut (15183), Thomas R. Connor (11063444), Nicholas J. Loman (11063447)

مصطلحات موضوعية: Genetics, national-scale genomic surveillance., SARS-CoV -2 pandemic, sequence SARS-CoV -2 genomes, decentralised sequencing, CLIMB-COVID, sequencing centres, SARS-CoV -2 genomic surveillance Ab., sample-associated metadata, genomic sequencing data, COG-UK network, UK Public Health Agencies, COVID -19 Genomics UK

Relation: https://figshare.com/articles/journal_contribution/Additional_file_2_of_CLIMB-COVID_continuous_integration_supporting_decentralised_sequencing_for_SARS-CoV-2_genomic_surveillance/14897456

الاتاحة: https://doi.org/10.6084/m9.figshare.14897456.v1

المؤلفون: Samuel M. Nicholls (11063414), Radoslaw Poplawski (11063417), Matthew J. Bull (4067785), Anthony Underwood (23932), Michael Chapman (11063420), Khalil Abu-Dahab (11063423), Ben Taylor (264515), Rachel M. Colquhoun (11063426), Will P. M. Rowe (6208268), Ben Jackson (128953), Verity Hill (11063429), Áine O’Toole (11063432), Sara Rey (556080), Joel Southgate (11063435), Roberto Amato (197159), Rich Livett (11063438), Sónia Gonçalves (354053), Ewan M. Harrison (11063441), Sharon J. Peacock (9931415), David M. Aanensen (7538114), Andrew Rambaut (15183), Thomas R. Connor (11063444), Nicholas J. Loman (11063447)

مصطلحات موضوعية: Genetics, national-scale genomic surveillance., SARS-CoV -2 pandemic, sequence SARS-CoV -2 genomes, decentralised sequencing, CLIMB-COVID, sequencing centres, SARS-CoV -2 genomic surveillance Ab., sample-associated metadata, genomic sequencing data, COG-UK network, UK Public Health Agencies, COVID -19 Genomics UK

Relation: https://figshare.com/articles/journal_contribution/Additional_file_1_of_CLIMB-COVID_continuous_integration_supporting_decentralised_sequencing_for_SARS-CoV-2_genomic_surveillance/14897453

الاتاحة: https://doi.org/10.6084/m9.figshare.14897453.v1

المؤلفون: Mayara Carolina Cañedo, Thiago Inácio Barros Lopes, Luana Rossato, Isadora Batista Nunes, Izadora Dillis Faccin, Túlio Máximo Salomé, Simone Simionatto

مصطلحات موضوعية: Medicine, Biotechnology, Science Policy, Biological Sciences not elsewhere classified, public health agencies, prediction results beyond, neural networks autoregression, distressing fatality rate, current mortality rate, 99 &# 177, 1996 &# 8211, 000 live births, highest mortality peak, country &# 8217, although nna provided, winters exponential smoothing, historical bmmr series, 19 pandemic scenario, nna ), highest number, country experienced, 19 pandemic, %22">xlink ">, temporal correlation, study revealed, study investigates, second quarter, sample data, previous period, mean bmmr

Relation: https://figshare.com/articles/dataset/Computer_code_used_for_the_analyses_/25120587

الاتاحة: https://doi.org/10.1371/journal.pone.0296064.s002
https://figshare.com/articles/dataset/Computer_code_used_for_the_analyses_/25120587

المؤلفون: Mayara Carolina Cañedo, Thiago Inácio Barros Lopes, Luana Rossato, Isadora Batista Nunes, Izadora Dillis Faccin, Túlio Máximo Salomé, Simone Simionatto

مصطلحات موضوعية: Medicine, Biotechnology, Science Policy, Biological Sciences not elsewhere classified, public health agencies, prediction results beyond, neural networks autoregression, distressing fatality rate, current mortality rate, 99 &# 177, 1996 &# 8211, 000 live births, highest mortality peak, country &# 8217, although nna provided, winters exponential smoothing, historical bmmr series, 19 pandemic scenario, nna ), highest number, country experienced, 19 pandemic, %22">xlink ">, temporal correlation, study revealed, study investigates, second quarter, sample data, previous period, mean bmmr

Relation: https://figshare.com/articles/dataset/Historical_data_of_BMMR_from_1996_2022_/25120584

الاتاحة: https://doi.org/10.1371/journal.pone.0296064.s001
https://figshare.com/articles/dataset/Historical_data_of_BMMR_from_1996_2022_/25120584

المؤلفون: Mayara Carolina Cañedo, Thiago Inácio Barros Lopes, Luana Rossato, Isadora Batista Nunes, Izadora Dillis Faccin, Túlio Máximo Salomé, Simone Simionatto

مصطلحات موضوعية: Medicine, Biotechnology, Science Policy, Biological Sciences not elsewhere classified, public health agencies, prediction results beyond, neural networks autoregression, distressing fatality rate, current mortality rate, 99 &# 177, 1996 &# 8211, 000 live births, highest mortality peak, country &# 8217, although nna provided, winters exponential smoothing, historical bmmr series, 19 pandemic scenario, nna ), highest number, country experienced, 19 pandemic, %22">xlink ">, temporal correlation, study revealed, study investigates, second quarter, sample data, previous period, mean bmmr

Relation: https://figshare.com/articles/figure/Diagnostic_plots_for_ARIMA_0_1_3_2_0_0_4_on_Brazilian_Maternal_Mortality_Ratios_1996_2019_A_residual_plot_B_partial_autocorrelation_function_plot_of_residual_and_C_histogram_of_residual_/25120596

الاتاحة: https://doi.org/10.1371/journal.pone.0296064.s005
https://figshare.com/articles/figure/Diagnostic_plots_for_ARIMA_0_1_3_2_0_0_4_on_Brazilian_Maternal_Mortality_Ratios_1996_2019_A_residual_plot_B_partial_autocorrelation_function_plot_of_residual_and_C_histogram_of_residual_/25120596

المؤلفون: Mayara Carolina Cañedo, Thiago Inácio Barros Lopes, Luana Rossato, Isadora Batista Nunes, Izadora Dillis Faccin, Túlio Máximo Salomé, Simone Simionatto

مصطلحات موضوعية: Medicine, Biotechnology, Science Policy, Biological Sciences not elsewhere classified, public health agencies, prediction results beyond, neural networks autoregression, distressing fatality rate, current mortality rate, 99 &# 177, 1996 &# 8211, 000 live births, highest mortality peak, country &# 8217, although nna provided, winters exponential smoothing, historical bmmr series, 19 pandemic scenario, nna ), highest number, country experienced, 19 pandemic, %22">xlink ">, temporal correlation, study revealed, study investigates, second quarter, sample data, previous period, mean bmmr

Relation: https://figshare.com/articles/figure/S4_Fig_-/25120599

الاتاحة: https://doi.org/10.1371/journal.pone.0296064.s006
https://figshare.com/articles/figure/S4_Fig_-/25120599

المؤلفون: Mayara Carolina Cañedo, Thiago Inácio Barros Lopes, Luana Rossato, Isadora Batista Nunes, Izadora Dillis Faccin, Túlio Máximo Salomé, Simone Simionatto

مصطلحات موضوعية: Medicine, Biotechnology, Science Policy, Biological Sciences not elsewhere classified, public health agencies, prediction results beyond, neural networks autoregression, distressing fatality rate, current mortality rate, 99 &# 177, 1996 &# 8211, 000 live births, highest mortality peak, country &# 8217, although nna provided, winters exponential smoothing, historical bmmr series, 19 pandemic scenario, nna ), highest number, country experienced, 19 pandemic, %22">xlink ">, temporal correlation, study revealed, study investigates, second quarter, sample data, previous period, mean bmmr

Relation: https://figshare.com/articles/figure/Forecast_of_the_quarterly_Brazil_Maternal_Mortality_Ratio_up_to_2025_using_ARIMA_0_1_3_2_0_0_4_/25120611

الاتاحة: https://doi.org/10.1371/journal.pone.0296064.g003
https://figshare.com/articles/figure/Forecast_of_the_quarterly_Brazil_Maternal_Mortality_Ratio_up_to_2025_using_ARIMA_0_1_3_2_0_0_4_/25120611

المؤلفون: Mayara Carolina Cañedo, Thiago Inácio Barros Lopes, Luana Rossato, Isadora Batista Nunes, Izadora Dillis Faccin, Túlio Máximo Salomé, Simone Simionatto

مصطلحات موضوعية: Medicine, Biotechnology, Science Policy, Biological Sciences not elsewhere classified, public health agencies, prediction results beyond, neural networks autoregression, distressing fatality rate, current mortality rate, 99 &# 177, 1996 &# 8211, 000 live births, highest mortality peak, country &# 8217, although nna provided, winters exponential smoothing, historical bmmr series, 19 pandemic scenario, nna ), highest number, country experienced, 19 pandemic, %22">xlink ">, temporal correlation, study revealed, study investigates, second quarter, sample data, previous period, mean bmmr

Relation: https://figshare.com/articles/figure/Brazilian_Maternal_Mortality_Ratio_1996_2021_highlighting_the_H_sub_1_sub_N_sub_1_sub_-influenza_Flu_pandemic_2009_and_the_COVID-19_pandemic_2020_2021_/25120605

الاتاحة: https://doi.org/10.1371/journal.pone.0296064.g001
https://figshare.com/articles/figure/Brazilian_Maternal_Mortality_Ratio_1996_2021_highlighting_the_H_sub_1_sub_N_sub_1_sub_-influenza_Flu_pandemic_2009_and_the_COVID-19_pandemic_2020_2021_/25120605

المؤلفون: Mayara Carolina Cañedo, Thiago Inácio Barros Lopes, Luana Rossato, Isadora Batista Nunes, Izadora Dillis Faccin, Túlio Máximo Salomé, Simone Simionatto

مصطلحات موضوعية: Medicine, Biotechnology, Science Policy, Biological Sciences not elsewhere classified, public health agencies, prediction results beyond, neural networks autoregression, distressing fatality rate, current mortality rate, 99 &# 177, 1996 &# 8211, 000 live births, highest mortality peak, country &# 8217, although nna provided, winters exponential smoothing, historical bmmr series, 19 pandemic scenario, nna ), highest number, country experienced, 19 pandemic, %22">xlink ">, temporal correlation, study revealed, study investigates, second quarter, sample data, previous period, mean bmmr

Relation: https://figshare.com/articles/figure/Forecast_of_the_quarterly_Brazil_Maternal_Mortality_Ratio_up_to_2025_using_the_NNA_8_6_1_6_model_/25120614

الاتاحة: https://doi.org/10.1371/journal.pone.0296064.g004
https://figshare.com/articles/figure/Forecast_of_the_quarterly_Brazil_Maternal_Mortality_Ratio_up_to_2025_using_the_NNA_8_6_1_6_model_/25120614

المؤلفون: Mayara Carolina Cañedo, Thiago Inácio Barros Lopes, Luana Rossato, Isadora Batista Nunes, Izadora Dillis Faccin, Túlio Máximo Salomé, Simone Simionatto

مصطلحات موضوعية: Medicine, Biotechnology, Science Policy, Biological Sciences not elsewhere classified, public health agencies, prediction results beyond, neural networks autoregression, distressing fatality rate, current mortality rate, 99 &# 177, 1996 &# 8211, 000 live births, highest mortality peak, country &# 8217, although nna provided, winters exponential smoothing, historical bmmr series, 19 pandemic scenario, nna ), highest number, country experienced, 19 pandemic, %22">xlink ">, temporal correlation, study revealed, study investigates, second quarter, sample data, previous period, mean bmmr

Relation: https://figshare.com/articles/figure/Forecast_of_the_quarterly_Brazil_Maternal_Mortality_Ratio_up_to_2025_using_the_Holt-Winters_multiplicative_method_/25120608

الاتاحة: https://doi.org/10.1371/journal.pone.0296064.g002
https://figshare.com/articles/figure/Forecast_of_the_quarterly_Brazil_Maternal_Mortality_Ratio_up_to_2025_using_the_Holt-Winters_multiplicative_method_/25120608

المؤلفون: Mayara Carolina Cañedo, Thiago Inácio Barros Lopes, Luana Rossato, Isadora Batista Nunes, Izadora Dillis Faccin, Túlio Máximo Salomé, Simone Simionatto

مصطلحات موضوعية: Medicine, Biotechnology, Science Policy, Biological Sciences not elsewhere classified, public health agencies, prediction results beyond, neural networks autoregression, distressing fatality rate, current mortality rate, 99 &# 177, 1996 &# 8211, 000 live births, highest mortality peak, country &# 8217, although nna provided, winters exponential smoothing, historical bmmr series, 19 pandemic scenario, nna ), highest number, country experienced, 19 pandemic, %22">xlink ">, temporal correlation, study revealed, study investigates, second quarter, sample data, previous period, mean bmmr

Relation: https://figshare.com/articles/dataset/Performance_parameters_of_evaluated_models_/25120617

الاتاحة: https://doi.org/10.1371/journal.pone.0296064.t001
https://figshare.com/articles/dataset/Performance_parameters_of_evaluated_models_/25120617