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Assessing the impact of preventive mass vaccination campaigns on yellow fever outbreaks in Africa : a population-level self-controlled case-series study

Authors :
Arran Hamlet
Hanaya Raad
Tini Garske
Katy A. M. Gaythorpe
Kévin Jean
Daniel R Hogan
Tewodaj Mengistu
Judith E. Mueller
Mounia N. Hocine
Heather Whitaker
Laboratoire Modélisation, épidémiologie et surveillance des risques sanitaires (MESuRS)
Conservatoire National des Arts et Métiers [CNAM] (CNAM)
Pasteur-Cnam Risques infectieux et émergents (PACRI)
Institut Pasteur [Paris]-Conservatoire National des Arts et Métiers [CNAM] (CNAM)
Imperial College London
École des Hautes Études en Santé Publique [EHESP] (EHESP)
Chercheur indépendant
Public Health England [London]
This work was carried out as part of the Vaccine Impact Modelling Consortium (www.vaccineimpact.org), but the views expressed are those of the authors and not necessarily those of the Consortium or its funders. The funders were given the opportunity to review this paper prior to publication, but the final decision on the content of the publication was taken by the authors. Dr Jean, Mr Hamlet, Dr Gaythorpe, and Dr Garske acknowledge joint Centre funding from the UK Medical Research Council and Department for International Development (MR/R015600/1) and report grant from The Bill & Melinda Gates Foundation (grant number OPP1157270). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript
HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)
Institut Pasteur [Paris] (IP)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)
Publication Year :
2020
Publisher :
HAL CCSD, 2020.

Abstract

Introduction 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, by how much PMVCs are associated with a decreased risk of outbreak to occur 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, the SCCS 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 location 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 relative 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, outbreaks occurred during the pre-PMVC period in 26 (79%) provinces versus 7 (21%) occurring in the post-PMVC period. At the province level, the post-PMVC period was associated with a 86% reduction (95% Confidence interval 66% to 94%, p-value 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 or possibly improved disease surveillance. Conclusion 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. AUTHOR SUMMARY Why Was This Study Done? Yellow fever is a mosquito-borne vaccine-preventable disease that may cause large urban outbreaks, especially in tropical African regions. Since 2006, Preventive Mass Vaccination Campaigns (PMVCs) have been implemented in many African provinces. These are large scale vaccination campaigns targeting all or most age group in a specific area. The preventive impact PMVCs may have on the risk of yellow fever outbreak has not been quantified yet. What Did the Researchers Do and Find? We used the self-controlled case series (SCCS) method to assess the association between PMVCs and outbreak risk at the province level over 34 African countries between 2005 and 2018. Using this method, we compared pre- and post-PMVC period are compared within each province individually, thus controlling for all possible confounders that do not vary in time, especially the fact that provinces indicated for PMVCs are generally those considered at highest baseline risk of yellow fever (ie confounding by indication). At the province level, we estimated that implementation of PMVCs was associated with an 86% reduction (66% to 94%) in the risk of yellow fever outbreak. Results from a complete cohort analysis provided less reliable results than the SCCS method, likely because of confounding by indication that was not entirely controlled for by adjusting on known drivers of yellow fever. We further estimated that all PMVCs conducted between 2006 and 2018 in Africa may have reduced the total number of yellow fever outbreaks by 34% (22% to 45%). What Do These Findings Mean? These results provide new empirical evidence of the high preventive impact of PMVCs on yellow fever outbreaks. These results may encourage rapid re-scheduling of yellow fever PMVCs that have been postponed due to the COVID-19 pandemic. The SCCS design may be advantageously applied at the population level to assess the impact of public health interventions.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....31506ade84854f7fb0987d486f3baca9