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Enregistrement W3199493325 · doi:10.1016/s0140-6736(21)01258-7

Tracking development assistance for health and for COVID-19: a review of development assistance, government, out-of-pocket, and other private spending on health for 204 countries and territories, 1990–2050

2021· review· en· W3199493325 sur OpenAlex

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Notice bibliographique

RevueThe Lancet · 2021
Typereview
Langueen
DomaineMedicine
ThématiqueViral Infections and Outbreaks Research
Établissements canadiensnon disponible
Organismes subventionnairesDivision of Human Resource DevelopmentNational Heart, Lung, and Blood InstituteLee Kong Chian School of Medicine, Nanyang Technological UniversityCenter for International HealthInstituto de Salud Carlos IIISydney Medical SchoolDepartment of Global Health and Population, Harvard T.H. Chan School of Public HealthUniversity of Veterinary and Animal SciencesUniversity of Health and Allied SciencesMadda Walabu UniversityMoscow Institute of Physics and TechnologyCentre for Heart Rhythm Disorders, University of AdelaideWestern Sydney UniversityCentro de Investigação em Tecnologias e Serviços de SaúdeAl-Farabi Kazakh National UniversityGeorge Institute for Global HealthUniversitatea SapientiaUniversitas Syiah KualaJenderal Soedirman UniversityMittuniversitetetAlexandria UniversityUniversity of Southern CaliforniaNational Center of Neurology and PsychiatryUniversity of PeradeniyaSemmelweis EgyetemNanjing UniversityAlfaisal UniversityUniversity of GondarKuwait UniversityHawassa UniversityUniversitatea din BucureștiSüleyman Demirel ÜniversitesiChina Medical UniversityUrmia UniversityUniversity of TabrizUniversidade do PortoKeio UniversityYoung Researchers and Elite ClubUniversidad de ChileRijksuniversiteit GroningenUniversity of WashingtonWuhan UniversityUniversidade de São PauloUniversitair Medisch Centrum GroningenUniversidade Federal de Minas GeraisAhvaz Jundishapur University of Medical SciencesManipal College of Pharmaceutical Sciences, Manipal Academy of Higher EducationLaboratório Associado para a Química VerdeNankai UniversityUniversity of TokyoTehran University of Medical Sciences and Health ServicesUniversity of ColomboRajshahi UniversityFundación Valle del LiliGeorg-August-Universität GöttingenUniversity of OxfordAmirkabir University of TechnologyIslamic Azad UniversityCentro de Investigación Biomédica en Red de Salud MentalUniversità di CataniaUniversidad ICESIUniversity of GhanaAarhus UniversitetSharif University of TechnologyCairo UniversityTsinghua UniversityHamad Medical CorporationMurdoch UniversityUniversiti Kebangsaan MalaysiaUniversiti Sains MalaysiaUniversity of South AustraliaNational Research University Higher School of EconomicsDeakin UniversityTabriz University of Medical SciencesUniversity of Technology SydneyBundesministerium für GesundheitNanyang Technological UniversityPublic Health EnglandRoyal College of Surgeons in IrelandPublic Health Foundation of IndiaUniversitat de ValènciaUniwersytet Jagielloński Collegium MedicumUniversity College LondonIndian Council of Medical ResearchMcMaster UniversityUniversidade Federal de Santa CatarinaMacquarie UniversityNational Nutrition and Food Technology Research InstituteKasturba Medical College, ManipalWellcome TrustTrường Đại học Duy TânLondon South Bank UniversityQueensland University of TechnologyUniversity of Central PunjabCOMSATS Institute of Information TechnologyTrường Đại học Nguyễn Tất ThànhNational Institute for Health and Care ResearchJimma UniversityUniversity of WindsorUniversitetet i BergenUniversity of South CarolinaUniversità di BolognaUniversity Of Nigeria NsukkaShahid Beheshti University of Medical SciencesGlaxoSmithKlineUniversity of OttawaBanaras Hindu UniversityCase Western Reserve UniversityBournemouth UniversityUniversità degli Studi di Napoli Federico IIBill and Melinda Gates FoundationAin Shams UniversityImam Abdulrahman Bin Faisal UniversityInternational Centre for Diarrhoeal Disease Research, BangladeshCleveland ClinicJackson State UniversityUniversity of New South WalesYale UniversityU.S. Department of Veterans AffairsQuaid-i-Azam University
Mots-clésCoronavirus disease 2019 (COVID-19)Government (linguistics)2019-20 coronavirus outbreakEconomic growthTracking (education)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)BusinessEnvironmental healthMedicinePolitical scienceVirologyEconomicsPsychologyOutbreak

Résumé

récupéré en direct d'OpenAlex

BACKGROUND: The rapid spread of COVID-19 renewed the focus on how health systems across the globe are financed, especially during public health emergencies. Development assistance is an important source of health financing in many low-income countries, yet little is known about how much of this funding was disbursed for COVID-19. We aimed to put development assistance for health for COVID-19 in the context of broader trends in global health financing, and to estimate total health spending from 1995 to 2050 and development assistance for COVID-19 in 2020. METHODS: We estimated domestic health spending and development assistance for health to generate total health-sector spending estimates for 204 countries and territories. We leveraged data from the WHO Global Health Expenditure Database to produce estimates of domestic health spending. To generate estimates for development assistance for health, we relied on project-level disbursement data from the major international development agencies' online databases and annual financial statements and reports for information on income sources. To adjust our estimates for 2020 to include disbursements related to COVID-19, we extracted project data on commitments and disbursements from a broader set of databases (because not all of the data sources used to estimate the historical series extend to 2020), including the UN Office of Humanitarian Assistance Financial Tracking Service and the International Aid Transparency Initiative. We reported all the historic and future spending estimates in inflation-adjusted 2020 US$, 2020 US$ per capita, purchasing-power parity-adjusted US$ per capita, and as a proportion of gross domestic product. We used various models to generate future health spending to 2050. FINDINGS: In 2019, health spending globally reached $8·8 trillion (95% uncertainty interval [UI] 8·7-8·8) or $1132 (1119-1143) per person. Spending on health varied within and across income groups and geographical regions. Of this total, $40·4 billion (0·5%, 95% UI 0·5-0·5) was development assistance for health provided to low-income and middle-income countries, which made up 24·6% (UI 24·0-25·1) of total spending in low-income countries. We estimate that $54·8 billion in development assistance for health was disbursed in 2020. Of this, $13·7 billion was targeted toward the COVID-19 health response. $12·3 billion was newly committed and $1·4 billion was repurposed from existing health projects. $3·1 billion (22·4%) of the funds focused on country-level coordination and $2·4 billion (17·9%) was for supply chain and logistics. Only $714·4 million (7·7%) of COVID-19 development assistance for health went to Latin America, despite this region reporting 34·3% of total recorded COVID-19 deaths in low-income or middle-income countries in 2020. Spending on health is expected to rise to $1519 (1448-1591) per person in 2050, although spending across countries is expected to remain varied. INTERPRETATION: Global health spending is expected to continue to grow, but remain unequally distributed between countries. We estimate that development organisations substantially increased the amount of development assistance for health provided in 2020. Continued efforts are needed to raise sufficient resources to mitigate the pandemic for the most vulnerable, and to help curtail the pandemic for all. FUNDING: Bill & Melinda Gates Foundation.

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.

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)0,003
score de la tête « metaresearch » (Gemma)0,001
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: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,878
Score d'incertitude au seuil0,903

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0030,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0030,000
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 Opus0,215
Tête enseignante GPT0,473
Écart entre enseignants0,258 · 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