03265nam 22006492 450 991058596260332120230125221522.01-108-87375-81-108-87482-71-108-86412-0(CKB)4100000010656352(UkCbUP)CR9781108864121(oapen)https://directory.doabooks.org/handle/20.500.12854/90860(PPN)243337604(EXLCZ)99410000001065635220190923d2019|||| uy| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierChallenges to tackling antimicrobial resistance economic and policy responses /edited by Michael Anderson, Michele Cecchini, Elias Mossialos[electronic resource]Cambridge University Press2020Cambridge :Cambridge University Press,2019.1 online resource (xxi, 250 pages) digital, PDF file(s)European Observatory on Health Systems and PoliciesTitle from publisher's bibliographic system (viewed on 06 Apr 2020).1-108-79945-0 Antimicrobial resistance (AMR) is a biological mechanism whereby a micro-organism evolves over time to develop the ability to become resistant to antimicrobial therapies such as antibiotics. The drivers of and potential solutions to AMR are complex, often spanning multiple sectors. The internationally recognised response to AMR advocates for a 'One Health' approach, which requires policies to be developed and implemented across human, animal, and environmental health. To date, misaligned economic incentives have slowed the development of novel antimicrobials and limited efforts to reduce antimicrobial usage. However, the research which underpins the variety of policy options to tackle AMR is rapidly evolving across multiple disciplines such as human medicine, veterinary medicine, agricultural sciences, epidemiology, economics, sociology and psychology. By bringing together in one place the latest evidence and analysing the different facets of the complex problem of tackling AMR, this book offers an accessible summary for policy-makers, academics and students on the big questions around AMR policy.European Observatory on Health Systems and Policies series.Drug resistanceDrug developmenthealth systemshealth policieshealth administrationhealth economicshealth managementpublic policyagricultural sciencesepidemiologysuperbugsantibiotic resistancedrug resistanceantiobiotic stewardshipDrug resistance.Drug development.616.9041Anderson Michaeledt140848Anderson MichaelCecchini MicheleMossialos EliasUkCbUPUkCbUPBOOK9910585962603321Challenges to tackling antimicrobial resistance3359970UNINA01368nam0 22003373i 450 VAN027829620240619114823.660N978981190972620240619d2022 |0itac50 baengSG|||| |||||ˆAn ‰Introduction to Latent Class AnalysisMethods and ApplicationsNobuoki EshimaSingaporeSpringer2022xi, 190 p.ill.24 cm001VAN02500622001 Behaviormetrics: Quantitative Approaches to Human Behavior210 Singapore [etc.]Springer14Analysis of Learning StructuresKW:KConfirmatory Latent Class ModelsKW:KEntropy-based Approach for Assessing Latent Class ModelsKW:KEntropy-based Path AnalysisKW:KExploratory Latent Class AnalysisKW:KLatent Markov ModelsKW:KSGSingaporeVANL000061EshimaNobuokiVANV2045181017964Springer <editore>VANV108073650ITSOL20240621RICAhttps://doi.org/10.1007/978-981-19-0972-6E-book – Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o ShibbolethNVAN0278296Introduction to Latent Class Analysis4165546UNICAMPANIA