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1000 Titel
  • De-escalation strategies for non-pharmaceutical interventions following infectious disease outbreaks: a rapid review and a proposed dynamic de-escalation framework
1000 Autor/in
  1. El Bcheraoui, Charbel |
  2. Müller, Sophie Alice |
  3. Vaughan, Eleanor C |
  4. Jansen, Andreas |
  5. Cook, Robert |
  6. Hanefeld, Johanna |
1000 Erscheinungsjahr 2021
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-09-16
1000 Erschienen in
1000 Quellenangabe
  • 17(1):106
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s12992-021-00743-y |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8444163/ |
1000 Publikationsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Background!#!The severity of COVID-19, as well as the speed and scale of its spread, has posed a global challenge. Countries around the world have implemented stringent non-pharmaceutical interventions (NPI) to control transmission and prevent health systems from being overwhelmed. These NPI have had profound negative social and economic impacts. With the timeline to worldwide vaccine roll-out being uncertain, governments need to consider to what extent they need to implement and how to de-escalate these NPI. This rapid review collates de-escalation criteria reported in the literature to provide a guide to criteria that could be used as part of de-escalation strategies globally.!##!Methods!#!We reviewed literature published since 2000 relating to pandemics and infectious disease outbreaks. The searches included Embase.com (includes Embase and Medline), LitCovid, grey literature searching, reference harvesting and citation tracking. Over 1,700 documents were reviewed, with 39 documents reporting de-escalation criteria included in the final analysis. Concepts retrieved through a thematic analysis of the included documents were interlinked to build a conceptual dynamic de-escalation framework.!##!Results!#!We identified 52 de-escalation criteria, the most common of which were clustered under surveillance (cited by 43 documents, 10 criteria e.g. ability to actively monitor confirmed cases and contact tracing), health system capacity (cited by 30 documents, 11 criteria, e.g. ability to treat all patients within normal capacity) and epidemiology (cited by 28 documents, 7 criteria, e.g. number or changes in case numbers). De-escalation is a gradual and bi-directional process, and resurgence of infections or emergence of variants of concerns can lead to partial or full re-escalation(s) of response and control measures in place. Hence, it is crucial to rely on a robust public health surveillance system.!##!Conclusions!#!This rapid review focusing on de-escalation within the context of COVID-19 provides a conceptual framework and a guide to criteria that countries can use to formulate de-escalation plans.
1000 Sacherschließung
lokal Health system
gnd 1206347392 COVID-19
lokal Quarantine/psychology [MeSH]
lokal Health surveillance
lokal Humans [MeSH]
lokal Health systems
lokal Bibliometrics [MeSH]
lokal COVID-19/psychology [MeSH]
lokal Quarantine/methods [MeSH]
lokal COVID-19
lokal Health policy
lokal COVID-19/prevention
lokal Research
lokal Contact Tracing/methods [MeSH]
lokal De-escalation strategies
lokal Non-pharmaceutical interventions
lokal Outbreaks
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/RWwgQmNoZXJhb3VpLCBDaGFyYmVs|https://frl.publisso.de/adhoc/uri/TcO8bGxlciwgU29waGllIEFsaWNl|https://frl.publisso.de/adhoc/uri/VmF1Z2hhbiwgRWxlYW5vciBD|https://frl.publisso.de/adhoc/uri/SmFuc2VuLCBBbmRyZWFz|https://frl.publisso.de/adhoc/uri/Q29vaywgUm9iZXJ0|https://frl.publisso.de/adhoc/uri/SGFuZWZlbGQsIEpvaGFubmE=
1000 Hinweis
  • DeepGreen-ID: 20d9c776fe424517a86473174375f5f3 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
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1000 Erstellt am 2023-11-16T17:01:35.871+0100
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1000 Zuletzt bearbeitet Fri Dec 01 03:15:51 CET 2023
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