File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Improving the estimation of the global burden of antimicrobial resistant infections

TitleImproving the estimation of the global burden of antimicrobial resistant infections
Authors
Keywordsall cause mortality
antibiotic resistance
bacterial infection
cause of death
global disease burden
Issue Date2019
PublisherElsevier: Lancet. The Journal's web site is located at http://www.elsevier.com/locate/j.lancetid
Citation
The Lancet Infectious Diseases, 2019, v. 19 n. 11, p. E392-E398 How to Cite?
AbstractEstimating the global burden of disease from infections caused by pathogens that have acquired antimicrobial resistance (AMR) is essential for resource allocation and to inform AMR action plans at national and global levels. However, the scarcity of robust and accepted methods to determine burden is widely acknowledged. In this Personal View, we discuss the underlying assumptions, characteristics, limitations, and comparability of the approaches used to quantify mortality from AMR bacterial infections. We show that the global burdens of AMR estimated in previous studies are not comparable because of their different methodological approaches, assumptions, and data used to generate the estimates. The analytical frameworks from previous studies are inadequate, and we conclude that a new approach to the estimation of deaths caused by AMR infection is needed. The innovation of a new approach will require the development of mechanisms to systematically collect a clinical dataset of substantial breadth and quality to support the accurate assessment of burden, combined with decision-making and resource allocation for interventions against AMR. We define key actions required and call for innovative thinking and solutions to address these problems.
Persistent Identifierhttp://hdl.handle.net/10722/278555
ISSN
2023 Impact Factor: 36.4
2023 SCImago Journal Rankings: 6.329
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLimmathurotsakul, D-
dc.contributor.authorDunachie, S-
dc.contributor.authorFukuda, K-
dc.contributor.authorFeasey, NA-
dc.contributor.authorOkeke, IN-
dc.contributor.authorHolmes, AH-
dc.contributor.authorMoore, CE-
dc.contributor.authorDolecek, C-
dc.contributor.authorvan Doorn, HR-
dc.contributor.authorShetty, N-
dc.contributor.authorLopez, AD-
dc.contributor.authorPeacock, SJ-
dc.contributor.authorSurveillance and Epidemiology of Drug Resistant Infections Consortium (SEDRIC)-
dc.date.accessioned2019-10-21T02:09:42Z-
dc.date.available2019-10-21T02:09:42Z-
dc.date.issued2019-
dc.identifier.citationThe Lancet Infectious Diseases, 2019, v. 19 n. 11, p. E392-E398-
dc.identifier.issn1473-3099-
dc.identifier.urihttp://hdl.handle.net/10722/278555-
dc.description.abstractEstimating the global burden of disease from infections caused by pathogens that have acquired antimicrobial resistance (AMR) is essential for resource allocation and to inform AMR action plans at national and global levels. However, the scarcity of robust and accepted methods to determine burden is widely acknowledged. In this Personal View, we discuss the underlying assumptions, characteristics, limitations, and comparability of the approaches used to quantify mortality from AMR bacterial infections. We show that the global burdens of AMR estimated in previous studies are not comparable because of their different methodological approaches, assumptions, and data used to generate the estimates. The analytical frameworks from previous studies are inadequate, and we conclude that a new approach to the estimation of deaths caused by AMR infection is needed. The innovation of a new approach will require the development of mechanisms to systematically collect a clinical dataset of substantial breadth and quality to support the accurate assessment of burden, combined with decision-making and resource allocation for interventions against AMR. We define key actions required and call for innovative thinking and solutions to address these problems.-
dc.languageeng-
dc.publisherElsevier: Lancet. The Journal's web site is located at http://www.elsevier.com/locate/j.lancetid-
dc.relation.ispartofThe Lancet Infectious Diseases-
dc.subjectall cause mortality-
dc.subjectantibiotic resistance-
dc.subjectbacterial infection-
dc.subjectcause of death-
dc.subjectglobal disease burden-
dc.titleImproving the estimation of the global burden of antimicrobial resistant infections-
dc.typeArticle-
dc.identifier.emailFukuda, K: kfukuda@hku.hk-
dc.identifier.authorityFukuda, K=rp02247-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/S1473-3099(19)30276-2-
dc.identifier.pmid31427174-
dc.identifier.scopuseid_2-s2.0-85073606951-
dc.identifier.hkuros307274-
dc.identifier.volume19-
dc.identifier.issue11-
dc.identifier.spageE392-
dc.identifier.epageE398-
dc.identifier.isiWOS:000492738200006-
dc.publisher.placeUnited Kingdom-
dc.identifier.issnl1473-3099-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats