Durch Arbeiten im Rechenzentrum kann die Erreichbarkeit am 20. und 21. April 2024 kurzfristig eingeschränkt sein.
Download
journal.pmed.1003523.pdf 1,21MB
WeightNameValue
1000 Titel
  • Assessing the impact of preventive mass vaccination campaigns on yellow fever outbreaks in Africa: A population-level self-controlled case series study
1000 Autor/in
  1. Jean, Kévin |
  2. Raad, Hanaya |
  3. Gaythorpe, Katy A. M. |
  4. Hamlet, Arran |
  5. Mueller, Judith E. |
  6. Hogan, Dan |
  7. Mengistu, Tewodaj |
  8. Whitaker, Heather J. |
  9. Garske, Tini |
  10. Hocine, Mounia N. |
1000 Erscheinungsjahr 2021
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-02-18
1000 Erschienen in
1000 Quellenangabe
  • 18(2):e1003523
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1371/journal.pmed.1003523 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7932543/ |
1000 Ergänzendes Material
  • https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1003523#sec022 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • BACKGROUND: The Eliminate Yellow fever Epidemics (EYE) strategy was launched in 2017 in response to the resurgence of yellow fever in Africa and the Americas. The strategy relies on several vaccination activities, including preventive mass vaccination campaigns (PMVCs). However, to what extent PMVCs are associated with a decreased risk of outbreak has not yet been quantified.METHODS AND FINDINGS: We used the self-controlled case series (SCCS) method to assess the association between the occurrence of yellow fever outbreaks and the implementation of PMVCs at the province level in the African endemic region. As all time-invariant confounders are implicitly controlled for in the SCCS method, this method is an alternative to classical cohort or case–control study designs when the risk of residual confounding is high, in particular confounding by indication. The locations and dates of outbreaks were identified from international epidemiological records, and information on PMVCs was provided by coordinators of vaccination activities and international funders. The study sample consisted of provinces that were both affected by an outbreak and targeted for a PMVC between 2005 and 2018. We compared the incidence of outbreaks before and after the implementation of a PMVC. The sensitivity of our estimates to a range of assumptions was explored, and the results of the SCCS method were compared to those obtained through a retrospective cohort study design. We further derived the number of yellow fever outbreaks that have been prevented by PMVCs. The study sample consisted of 33 provinces from 11 African countries. Among these, the first outbreak occurred during the pre-PMVC period in 26 (79%) provinces, and during the post-PMVC period in 7 (21%) provinces. At the province level, the post-PMVC period was associated with an 86% reduction (95% CI 66% to 94%, p < 0.001) in the risk of outbreak as compared to the pre-PMVC period. This negative association between exposure to PMVCs and outbreak was robustly observed across a range of sensitivity analyses, especially when using quantitative estimates of vaccination coverage as an alternative exposure measure, or when varying the observation period. In contrast, the results of the cohort-style analyses were highly sensitive to the choice of covariates included in the model. Based on the SCCS results, we estimated that PMVCs were associated with a 34% (95% CI 22% to 45%) reduction in the number of outbreaks in Africa from 2005 to 2018. A limitation of our study is the fact that it does not account for potential time-varying confounders, such as changing environmental drivers of yellow fever and possibly improved disease surveillance.CONCLUSIONS: In this study, we provide new empirical evidence of the high preventive impact of PMVCs on yellow fever outbreaks. This study illustrates that the SCCS method can be advantageously applied at the population level in order to evaluate a public health intervention.
1000 Sacherschließung
lokal Epidemiology
lokal Medical risk factors
lokal Public and occupational health
lokal Case series
lokal Vaccines
lokal Africa
lokal Vaccination and immunization
lokal Immunity
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0001-6462-7185|https://frl.publisso.de/adhoc/uri/UmFhZCwgSGFuYXlh|https://frl.publisso.de/adhoc/uri/R2F5dGhvcnBlLCBLYXR5IEEuIE0u|https://frl.publisso.de/adhoc/uri/SGFtbGV0LCBBcnJhbg==|https://frl.publisso.de/adhoc/uri/TXVlbGxlciwgSnVkaXRoIEUu|https://frl.publisso.de/adhoc/uri/SG9nYW4sIERhbg==|https://frl.publisso.de/adhoc/uri/TWVuZ2lzdHUsIFRld29kYWo=|https://frl.publisso.de/adhoc/uri/V2hpdGFrZXIsIEhlYXRoZXIgSi4=|https://frl.publisso.de/adhoc/uri/R2Fyc2tlLCBUaW5p|https://frl.publisso.de/adhoc/uri/SG9jaW5lLCBNb3VuaWEgTi4=
1000 Label
1000 Förderer
  1. Medical Research Council |
  2. Department for International Development |
  3. Bill and Melinda Gates Foundation |
1000 Fördernummer
  1. -
  2. MR/R015600/1
  3. OPP1157270
1000 Förderprogramm
  1. -
  2. -
  3. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Medical Research Council |
    1000 Förderprogramm -
    1000 Fördernummer -
  2. 1000 joinedFunding-child
    1000 Förderer Department for International Development |
    1000 Förderprogramm -
    1000 Fördernummer MR/R015600/1
  3. 1000 joinedFunding-child
    1000 Förderer Bill and Melinda Gates Foundation |
    1000 Förderprogramm -
    1000 Fördernummer OPP1157270
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6428024.rdf
1000 Erstellt am 2021-06-08T11:06:41.216+0200
1000 Erstellt von 284
1000 beschreibt frl:6428024
1000 Bearbeitet von 25
1000 Zuletzt bearbeitet Tue Nov 09 10:40:27 CET 2021
1000 Objekt bearb. Tue Nov 09 10:40:13 CET 2021
1000 Vgl. frl:6428024
1000 Oai Id
  1. oai:frl.publisso.de:frl:6428024 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

View source