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Enregistrement W3044657540 · doi:10.1016/j.eclinm.2020.100472

Coronavirus in Brazil: The heavy weight of inequality and unsound leadership

2020· article· en· W3044657540 sur OpenAlexaff
Mônica Malta, Laura Murray, Cosme Marcelo Furtado Passos da Silva, Steffanie A. Strathdee

Notice bibliographique

RevueEClinicalMedicine · 2020
Typearticle
Langueen
DomaineBusiness, Management and Accounting
ThématiqueGlobal Public Health Policies and Epidemiology
Établissements canadiensCentre for Addiction and Mental HealthUniversity of Toronto
Organismes subventionnairesNational Institutes of Health
Mots-clésCoronavirus disease 2019 (COVID-19)PopulationScopusLatin AmericansIndigenousMedicineDemographySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)InequalityHumanitiesSocioeconomicsPolitical scienceMEDLINESociologyArtLaw

Résumé

récupéré en direct d'OpenAlex

As of early July, Brazil had over 1.6 million confirmed COVID-19 cases and the death tool passed 65,000. The lack of testing nationally suggests the overall figures may be about six times higher than the official count [[1]Universidade de Pelotas: EpiCovid19 2020. Available at: http://epidemio-ufpel.org.br/uploads/downloads/19c528cc30e4e5a90d9f71e56f8808ec.pdf.Google Scholar]. With a nominal GDP of $1.87 trillion, Brazil is the ninth-largest economy in the world, but also one of the world's most unequal - 20% of its population lives in poverty. An estimated 12 million inhabitants live in overcrowded “favelas”, lacking piped water and proper sanitation. SARS-CoV-2 is spreading faster in these deprived neighbourhoods and indigenous communities, where access to adequate care is extremely limited [[2]Lobo A.P. Cardoso-Dos-Santos A.C. Rocha M.S. Pinheiro R.S. Bremm J.M. Macário E.M. Oliveira W.K. França G.V.A COVID-19 epidemic in Brazil: where we at?.Int J Infect Dis. 2020; (S1201-9712: 30479-3)https://doi.org/10.1016/j.ijid.2020.06.044Summary Full Text Full Text PDF PubMed Scopus (36) Google Scholar]. This scenario of deep inequality and its detrimental health effects is not new [[3]Ahmed F. Ahmed N. Pissarides C. Stiglitz J Why inequality could spread COVID-19.Lancet Public Health. 2020; 5: e240https://doi.org/10.1016/S2468-2667(20)30085-2Summary Full Text Full Text PDF PubMed Scopus (488) Google Scholar]. Previous outbreaks of dengue fever, chikuvgunya, Zika Virus, and H1N1 also disproportionately affected the poor. In Brazil, like so many other global contexts, the pandemic has laid bare systemic inequities [[4]Shamasunder S. Holmes S.M. Goronga T. Carrasco H. Katz E. Frankfurter R. Keshavjee S COVID-19 reveals weak health systems by design: why we must re-make global health in this historic moment.Glob Public Health. 2020; 15: 1083-1089Crossref PubMed Scopus (79) Google Scholar]. President Jair Bolsonaro's (mis)handling of the pandemic served to further divide the country. Two health ministers - both doctors - left their posts in the first two months of the epidemic. Both urged the population to observe social distancing and follow proven health treatments while Bolsonaro promoted unproven treatments, publicly broke social distancing recommendations by socializing without a mask and participated in protests in favor of his government. The interim Brazilian health minister is Mr. Eduardo Pazuello, an army general with no health expertise [[5]Folha de Sao Paulo. Brazil's interim health minister improves relationship with states, but Covid data crisis ensues 2020. Available at: https://www1.folha.uol.com.br/internacional/en/brazil/2020/06/brazils-interim-health-minister-improves-relationship-with-states-but-covid-data-crisis-ensues.shtml.Google Scholar]. In early June, the Bolsonaro administration removed comprehensive numbers on coronavirus cases and deaths from the Health Ministry's website, claiming, without evidence, that state officials were inflating figures to secure more federal funding. The data were later reinstated after a Supreme Court justice ordered the government to stop suppressing them. The president's communication office (SECOM) continues to highlight daily number of Brazilians “Saved” and “Recuperated”, while omitting the number of daily confirmed COVID-19 deaths. Following U.S. President Trump's own dismissal of COVID-19, when the crisis started, Bolsonaro referred to COVID-19 as ‘a little cold’ and continued to belittle its gravity. As Brazil's Covid-19 death toll rose, Bolsonaro claimed that Brazilians could bathe in excrement “and nothing happens” [[6]The guardian. Jair Bolsonaro claims Brazilians 'never catch anything' as Covid-19 cases rise 2020. Available at: https://www.theguardian.com/global-development/2020/mar/27/jair-bolsonaro-claims-brazilians-never-catch-anything-as-covid-19-cases-rise.Google Scholar]. He has openly disagreed with public health recommendations, frequently arguing that the economic impact of lockdowns would be more detrimental than the health impact of the virus itself. On several occasions, his social media posts were removed for being identified harmful and false content [[7]Bloomberg. Facebook, Twitter, Youtube remove posts from Bolsonaro 2020. Available at: https://www.bloomberg.com/news/articles/2020-03-31/facebook-twitter-pull-misleading-posts-from-brazil-s-bolsonaro.Google Scholar]. In July 7, 2020 Brazilian president Bolsonaro tested positive for COVID-19 [[8]New York Times. President Bolsonaro of Brazil tests positive for Coronavirus 2020. Available at: https://www.nytimes.com/2020/07/07/world/americas/brazil-bolsonaro-coronavirus.html.Google Scholar]. Bolsonaro's inept handling of the epidemic occurs as the Brazilian Unified Health System (SUS) is suffering from long term shortages in resource allocation, understaffing and austerity policies [[9]Massuda A. Hone T. Leles F. de Castro M.C. Atun R The Brazilian health system at crossroads: progress, crisis and resilience.BMJ global health. 2018; 3e000829Crossref PubMed Scopus (234) Google Scholar]. Regional disparities in access to healthcare services has meant that poorer regions and lower socioeconomic groups rely almost exclusively on the SUS. The precarious nature of the system has thus been even more detrimental to these populations and concerns that the health system will be unable to cope with the increasing number of cases due to shortages of ICU beds and ventilators continues to rise. In Rio de Janeiro, for example, the state government promised field hospitals would be built by April, but yet in July, several are still under construction and the entire process has been marred by delays and corruption allegations. Despite structural inequalities, the government's response has been marked by exalting individual freedom over collective interest and public health guidelines [[10]Ortega F., Behaguel D.P.[O que a medicina social latino-americana pode contribuir para os debates globais sobre as políticas da Covid-19: lições do Brasil] In Portuguese. Available at: https://www.ims.uerj.br/wp-content/uploads/2020/04/physis30_2_a05.pdf.Google Scholar]. Phrases defending the “right to come and go” have been repeated as mantras against lockdown as well as unproven medications promoted as an individual “right”. The limited prevention information produced by the government has prioritized individual actions, such as hand washing - while millions lack clean water. The government has extended a minimal monthly payment of $110 (raised by Congress from their original proposition of $38), yet at the same time they have continued to pursue a neoliberal economic agenda, sought to reduce workers’ rights, refused to revert a 2016 Constitutional Amendment that froze health spending, and consistently negate the racial, ethnic and gendered dimensions of the country's inequality. The role of Brazil's inequalities in fueling COVID-19 transmission remain unaddressed. Lack of infrastructure, poor leadership and corruption has created a public health disaster. As new cases and the death curve continue to accelerate while the country continues to re-open, Brazil should learn from the United States that the worst is yet to come. None

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,005
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,364
Score d'incertitude au seuil0,748

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,005
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,345
Tête enseignante GPT0,421
Écart entre enseignants0,076 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations33
Publié2020
Routes d'admission1
Résumé présentoui

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