Financing of international collective action for epidemic and pandemic preparedness
Notice bibliographique
Résumé
The global pandemic response has typically followed cycles of panic followed by neglect. We are now, once again, in a phase of neglect, leaving the world highly vulnerable to massive loss of life and economic shocks from natural or human-made epidemics and pandemics. Quantifying the size of the losses caused by large-scale outbreaks is challenging because the epidemiological and economic research in this field is still at an early stage. Research on the 1918 influenza H1N1 pandemic and recent epidemics and pandemics has shown a range of estimated losses (panel).1Taubenberger JK Morens DM 1918 influenza: the mother of all pandemics.Emerg Infect Dis. 2006; 12: 15-22Crossref PubMed Scopus (24) Google Scholar, 2Madhav N, Oppenheim B, Gallivan M, et al. Pandemics: risk, impacts, and mitigation. In: Jamison DT, Nugent R, Gelband H, et al, eds. Disease Control Priorities, 3rd edn, Volume 9. Washington, DC: World Bank (in press).Google Scholar, 3Centers for Disease Control and PreventionFact sheet: basic information about SARS.https://www.cdc.gov/sars/about/fs-sars.pdfGoogle Scholar, 4Lee J-W McKibbin WJ Estimating the global economic costs of SARS.in: Knobler S Mahmoud A Lemon S Institute of Medicine Forum on Microbial Threats. National Academies Press, Washington, DC2004Google Scholar, 5World Bank2014–2015 West Africa Ebola crisis: impact update.http://pubdocs.worldbank.org/en/297531463677588074/Ebola-Economic-Impact-and-Lessons-Paper-short-version.pdfGoogle Scholar, 6PAHOZika cases and congenital syndrome associated with Zika virus reported by countries and territories in the Americas, 2015–2017 cumulative cases.http://www.paho.org/hq/index.php?option=com_docman&task=doc_view&Itemid=270&gid=38164&lang=enGoogle Scholar, 7World BankThe short-term economic costs of Zika in Latin America and the Caribbean (LCR). World Bank Group, Washington, DC2016Google ScholarPanelHealth and economic impacts of epidemics and pandemicsH1N1 influenza (1918)•50 million deaths;1Taubenberger JK Morens DM 1918 influenza: the mother of all pandemics.Emerg Infect Dis. 2006; 12: 15-22Crossref PubMed Scopus (24) Google Scholar gross domestic product (GDP) loss of 3% in Australia, 15% in Canada, 17% in the UK, and 11% in the USA2Madhav N, Oppenheim B, Gallivan M, et al. Pandemics: risk, impacts, and mitigation. In: Jamison DT, Nugent R, Gelband H, et al, eds. Disease Control Priorities, 3rd edn, Volume 9. Washington, DC: World Bank (in press).Google ScholarSevere acute respiratory syndrome (SARS) (2003)•774 deaths;3Centers for Disease Control and PreventionFact sheet: basic information about SARS.https://www.cdc.gov/sars/about/fs-sars.pdfGoogle Scholar global economic loss of US$52·2 billion4Lee J-W McKibbin WJ Estimating the global economic costs of SARS.in: Knobler S Mahmoud A Lemon S Institute of Medicine Forum on Microbial Threats. National Academies Press, Washington, DC2004Google ScholarEbola (2013)•10 600 deaths and a GDP loss of US$2·8 billion across Guinea, Liberia, and Sierra Leone5World Bank2014–2015 West Africa Ebola crisis: impact update.http://pubdocs.worldbank.org/en/297531463677588074/Ebola-Economic-Impact-and-Lessons-Paper-short-version.pdfGoogle ScholarZika (2015–16)•20 deaths6PAHOZika cases and congenital syndrome associated with Zika virus reported by countries and territories in the Americas, 2015–2017 cumulative cases.http://www.paho.org/hq/index.php?option=com_docman&task=doc_view&Itemid=270&gid=38164&lang=enGoogle Scholar and an expected loss of US$3·5 billion in the Latin American and Caribbean region7World BankThe short-term economic costs of Zika in Latin America and the Caribbean (LCR). World Bank Group, Washington, DC2016Google Scholar H1N1 influenza (1918) •50 million deaths;1Taubenberger JK Morens DM 1918 influenza: the mother of all pandemics.Emerg Infect Dis. 2006; 12: 15-22Crossref PubMed Scopus (24) Google Scholar gross domestic product (GDP) loss of 3% in Australia, 15% in Canada, 17% in the UK, and 11% in the USA2Madhav N, Oppenheim B, Gallivan M, et al. Pandemics: risk, impacts, and mitigation. In: Jamison DT, Nugent R, Gelband H, et al, eds. Disease Control Priorities, 3rd edn, Volume 9. Washington, DC: World Bank (in press).Google Scholar Severe acute respiratory syndrome (SARS) (2003) •774 deaths;3Centers for Disease Control and PreventionFact sheet: basic information about SARS.https://www.cdc.gov/sars/about/fs-sars.pdfGoogle Scholar global economic loss of US$52·2 billion4Lee J-W McKibbin WJ Estimating the global economic costs of SARS.in: Knobler S Mahmoud A Lemon S Institute of Medicine Forum on Microbial Threats. National Academies Press, Washington, DC2004Google Scholar Ebola (2013) •10 600 deaths and a GDP loss of US$2·8 billion across Guinea, Liberia, and Sierra Leone5World Bank2014–2015 West Africa Ebola crisis: impact update.http://pubdocs.worldbank.org/en/297531463677588074/Ebola-Economic-Impact-and-Lessons-Paper-short-version.pdfGoogle Scholar Zika (2015–16) •20 deaths6PAHOZika cases and congenital syndrome associated with Zika virus reported by countries and territories in the Americas, 2015–2017 cumulative cases.http://www.paho.org/hq/index.php?option=com_docman&task=doc_view&Itemid=270&gid=38164&lang=enGoogle Scholar and an expected loss of US$3·5 billion in the Latin American and Caribbean region7World BankThe short-term economic costs of Zika in Latin America and the Caribbean (LCR). World Bank Group, Washington, DC2016Google Scholar A limitation in assessing the economic costs of outbreaks is that they only capture the impact on income. Fan and colleagues8Fan VY Jamison DT Summers LH The inclusive cost of pandemic influenza risk.http://www.nber.org/papers/w22137Google Scholar recently addressed this limitation by estimating the “inclusive” cost of pandemics: the sum of the cost in lost income and a dollar valuation of the cost of early death. They found that for Ebola and severe acute respiratory syndrome (SARS), the true (“inclusive”) costs are two to three times the income loss. For extremely serious pandemics such as that of influenza in 1918, the inclusive costs are over five times income loss. The inclusive costs of the next severe influenza pandemic could be US$570 billion each year or 0·7% of global income (range 0·4–1·0%)8Fan VY Jamison DT Summers LH The inclusive cost of pandemic influenza risk.http://www.nber.org/papers/w22137Google Scholar—an economic threat similar to that of global warming, which is expected to cost 0·2–2·0% of global income annually. Given the magnitude of the threat, we call for scaled-up financing of international collective action for epidemic and pandemic preparedness. Two planks of preparedness must be strengthened. The first is public health capacity—including human and animal disease surveillance—as a first line of defence.9Sands PS Mundaca-Shah Dzau VJ The neglected dimension of global security—a framework for countering infectious-disease crises.N Engl J Med. 2016; 374: 1281-1287Crossref PubMed Scopus (154) Google Scholar Animal surveillance is important since most emerging infectious diseases with outbreak potential originate in animals. Rigorous external assessment of national capabilities is critical; WHO developed the Joint External Evaluation (JEE) tool specifically for this purpose.10WHOJoint external evaluation tool: International Health Regulations.http://apps.who.int/iris/handle/10665/204368Date: 2005Google Scholar Financing for this first plank will largely be through domestic resources, but supplementary donor financing to low-income, high-risk countries is also needed. The second plank is financing global efforts to accelerate research and development (R&D) of vaccines, drugs, and diagnostics for outbreak control, and to strengthen the global and regional outbreak preparedness and response system. These two international collective action activities are underfunded.11Schäferhoff M Fewer S Kraus J et al.How much donor financing for health is channelled to global versus country-specific aid functions?.Lancet. 2015; 386: 2436-2441Summary Full Text Full Text PDF PubMed Scopus (32) Google Scholar Medical countermeasures against many emerging infectious diseases are currently missing. We need greater investment in development of vaccines, therapeutics, and diagnostics to prevent potential outbreaks from becoming humanitarian crises. The new Coalition for Epidemic Preparedness Innovations (CEPI), which aims to mobilise $1 billion over 5 years, is developing vaccines against known emerging infectious diseases as well as platforms for rapid development of vaccines against outbreaks of unknown origin. The WHO R&D Blueprint for Action to Prevent Epidemics12WHOR&D Blueprint for Action to Prevent Epidemics.http://www.who.int/csr/research-and-development/blueprint/en/Google Scholar is a new mechanism for coordinating and prioritising the development of drugs and diagnostics for emerging infectious diseases. Consolidating and enhancing donor support for these new initiatives would be an efficient way to channel resources aimed at improving global outbreak preparedness and response. Crucial components of the global and regional system for outbreak control include surge capacity (eg, the ability to urgently deploy human resources); providing technical guidance to countries in the event of an outbreak; and establishing a coordinated, interlinked global, regional, and national surveillance system. These activities are the remit of several essential WHO financing envelopes that all face major funding shortfalls. The Contingency Fund for Emergencies finances surge outbreak response for up to 3 months. The fund has a capitalisation target of $100 million of flexible voluntary contributions, which needs to be replenished with about $25–50 million annually, depending on the extent of the outbreak in any given year. However, as of April 30, 2017, only $37·65 million had been contributed, with an additional $4 million in pledges.13WHOContingency Fund for Emergencies income and allocations.http://www.who.int/about/who_reform/emergency-capacities/contingency-fund/contribution/en/Google Scholar The WHO Health Emergencies and Health Systems Preparedness Programmes face an annual shortfall of $225 million in funding their epidemic and pandemic prevention and control activities.14WHOProgress report on the development of the WHO Health Emergencies Programme.http://www.who.int/about/who_reform/emergency-capacities/who-health-emergencies-programme-progress-report-march-2016.pdf?ua=1Date: 30 March 2016Google Scholar Previous health emergencies have shown that it can take time to organise global collective action and provide financing to the national and local level. In such situations, a global mechanism should offer a rapid injection of liquidity to affected countries. The World Bank's Pandemic Emergency Financing Facility (PEF) is a proposed global insurance mechanism for pandemic emergencies.15World BankPandemic Emergency Facility: frequently asked questions.http://www.worldbank.org/en/topic/pandemics/brief/pandemic-emergency-facility-frequently-asked-questionsGoogle Scholar It aims to provide surge funding for response efforts to help respond to rare, high-burden disease outbreaks, preventing them from becoming more deadly and costly pandemics. The PEF currently proposes a coverage of $500 million for the insurance window; increasing the current coverage will require additional donor commitments. In addition, the PEF has a $50–100 million replenishable cash window. As the world's health ministers meet this month for the World Health Assembly, we propose five key ways to help prevent mortality and economic shocks from disease outbreaks. First, to accelerate development of new technologies to control outbreaks, donors should expand their financing for CEPI and support the WHO R&D Blueprint for Action to Prevent Epidemics. Second, funding gaps in the WHO Contingency Fund for Emergencies and the WHO Health Emergencies Programme should be urgently filled and the PEF should be fully financed. Third, all nations should support their own and other countries' national preparedness efforts, including committing to the JEE process. Fourth, we believe it would be valuable to create and maintain a regional and country-level pandemic risk and preparedness index. This index could potentially be used as a way to review preparedness in International Monetary Fund article IV consultations (regular country reports by staff to its Board). Finally, we call for a new global effort to develop long-term national, regional, and global investment plans to create a world secure from the threat of devastation from outbreaks. This article summarises the recommendations of a workshop held at the National Academy of Medicine, Washington, DC, USA, co-hosted by the Center for Policy Impact in Global Health at Duke University, Durham, NC, USA and the Coalition for Epidemic Preparedness Innovations, Oslo, Norway. Participants' travel and accommodation were supported by the Center for Policy Impact in Global Health. BO is a consultant to Metabiota, a private company engaged in infectious disease risk modelling and analytical services. In this capacity, he has led the development of an index measuring national capacity to respond to epidemic and pandemic disease outbreaks.
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,008 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».