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Sökning: WFRF:(Bandera Alessandra) > (2020) > A one health framew...

LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00005266naa a2200685 4500
001oai:DiVA.org:su-188987
003SwePub
008210117s2020 | |||||||||||000 ||eng|
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-1889872 URI
0247 a https://doi.org/10.1186/s13756-020-00822-62 DOI
040 a (SwePub)su
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
1001 a Morel, Chantal M.4 aut
2451 0a A one health framework to estimate the cost of antimicrobial resistance
264 c 2020-11-26
264 1b Springer Science and Business Media LLC,c 2020
338 a print2 rdacarrier
520 a Objectives/purpose: The costs attributable to antimicrobial resistance (AMR) remain theoretical and largely unspecified. Current figures fail to capture the full health and economic burden caused by AMR across human, animal, and environmental health; historically many studies have considered only direct costs associated with human infection from a hospital perspective, primarily from high-income countries. The Global Antimicrobial Resistance Platform for ONE-Burden Estimates (GAP-ONeuro) network has developed a framework to help guide AMR costing exercises in any part of the world as a first step towards more comprehensive analyses for comparing AMR interventions at the local level as well as more harmonized analyses for quantifying the full economic burden attributable to AMR at the global level.Methods: GAP-ONeuro (funded under the JPIAMR 8th call (Virtual Research Institute) is composed of 19 international networks and institutions active in the field of AMR. For this project, the Network operated by means of Delphi rounds, teleconferences and face-to-face meetings. The resulting costing framework takes a bottom-up approach to incorporate all relevant costs imposed by an AMR bacterial microbe in a patient, in an animal, or in the environment up through to the societal level.Results: The framework itemizes the epidemiological data as well as the direct and indirect cost components needed to build a realistic cost picture for AMR. While the framework lists a large number of relevant pathogens for which this framework could be used to explore the costs, the framework is sufficiently generic to facilitate the costing of other resistant pathogens, including those of other aetiologies.Conclusion: In order to conduct cost-effectiveness analyses to choose amongst different AMR-related interventions at local level, the costing of AMR should be done according to local epidemiological priorities and local health service norms. Yet the use of a common framework across settings allows for the results of such studies to contribute to cumulative estimates that can serve as the basis of broader policy decisions at the international level such as how to steer R&D funding and how to prioritize AMR amongst other issues. Indeed, it is only by building a realistic cost picture that we can make informed decisions on how best to tackle major health threats.
650 7a MEDICIN OCH HÄLSOVETENSKAPx Hälsovetenskapx Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi0 (SwePub)303022 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Health Sciencesx Public Health, Global Health, Social Medicine and Epidemiology0 (SwePub)303022 hsv//eng
650 7a SAMHÄLLSVETENSKAPx Ekonomi och näringsliv0 (SwePub)5022 hsv//swe
650 7a SOCIAL SCIENCESx Economics and Business0 (SwePub)5022 hsv//eng
653 a Antimicrobial resistance
653 a Cost
653 a One health
7001 a Alm, Richard A.4 aut
7001 a Årdal, Christine4 aut
7001 a Bandera, Alessandra4 aut
7001 a Bruno, Giacomo M.4 aut
7001 a Carrara, Elena4 aut
7001 a Colombo, Giorgio L.4 aut
7001 a de Kraker, Marlieke E. A.4 aut
7001 a Essack, Sabiha4 aut
7001 a Frost, Isabel4 aut
7001 a Gonzalez-Zorn, Bruno4 aut
7001 a Goossens, Herman4 aut
7001 a Guardabassi, Luca4 aut
7001 a Harbarth, Stephan4 aut
7001 a S. Jørgensen, Peteru Stockholms universitet,Stockholm Resilience Centre,Royal Swedish Academy of Sciences, Sweden4 aut0 (Swepub:su)psoga
7001 a Kanj, Souha S.4 aut
7001 a Kostyanev, Tomislav4 aut
7001 a Laxminarayan, Ramanan4 aut
7001 a Leonard, Finola4 aut
7001 a Levy Hara, Gabriel4 aut
7001 a Mendelson, Marc4 aut
7001 a Mikulska, Malgorzata4 aut
7001 a Mutters, Nico T.4 aut
7001 a Outterson, Kevin4 aut
7001 a Baňo, Jesus Rodriguez4 aut
7001 a Tacconelli, Evelina4 aut
7001 a Scudeller, Luigia4 aut
7102 a Stockholms universitetb Stockholm Resilience Centre4 org
7730 t Antimicrobial Resistance and Infection Controld : Springer Science and Business Media LLCg 9:1q 9:1x 2047-2994
8564 u https://doi.org/10.1186/s13756-020-00822-6y Fulltext
8564 u https://aricjournal.biomedcentral.com/track/pdf/10.1186/s13756-020-00822-6
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-188987
8564 8u https://doi.org/10.1186/s13756-020-00822-6

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