Evidence map›Paper›PMID 32379756›Full record

ArticlePLoS neglected tropical diseases2020

Eliminating yellow fever epidemics in Africa: Vaccine demand forecast and impact modelling.

Kévin Jean, Arran Hamlet, Justus Benzler, Laurence Cibrelus, Katy A M Gaythorpe, Amadou Sall, Neil M Ferguson, Tini Garske

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Mapping climate change-driven epidemics.Frontiers in epidemiology · 2025
    Article
  5. Article
  6. Yellow fever in Ghana: Predicting emergence and ecology from historical outbreaks.medRxiv : the preprint server for health sciences · 2024
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Kévin JeanLaboratoire MESuRS, Conservatoire National des Arts et Métiers, Paris, France.ORCID 0000-0001-6462-7185
Arran HamletMRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College, St Mary's Campus, Norfolk Place London, United Kingdom.ORCID 0000-0003-0871-0640
Justus BenzlerInfectious Hazard Management, World Health Organization, Geneva, Switzerland.ORCID 0000-0002-7470-0849
Laurence CibrelusInfectious Hazard Management, World Health Organization, Geneva, Switzerland.
Katy A M GaythorpeMRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College, St Mary's Campus, Norfolk Place London, United Kingdom.
Amadou SallArbovirus and viral haemorrhagic fever unit, Institut Pasteur de Dakar, Dakar, Senegal.
Neil M FergusonMRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College, St Mary's Campus, Norfolk Place London, United Kingdom.
Tini GarskeMRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College, St Mary's Campus, Norfolk Place London, United Kingdom.

Funding

Medical Research Council MR/R015600/1
6 · The paper itself

Abstract

backgroundTo counter the increasing global risk of Yellow fever (YF), the World Health Organisation initiated the Eliminate Yellow fever Epidemics (EYE) strategy. Estimating YF burden, as well as vaccine impact, while accounting for the features of urban YF transmission such as indirect benefits of vaccination, is key to informing this strategy. METHODS AND

findingsWe developed two model variants to estimate YF burden in sub-Saharan Africa, assuming all infections stem from either the sylvatic or the urban cycle of the disease. Both relied on an ecological niche model fitted to the local presence of any YF reported event in 34 African countries. We calibrated under-reporting using independent estimates of transmission intensity provided by 12 serological surveys performed in 11 countries. We calculated local numbers of YF infections, deaths and disability-adjusted life years (DALYs) lost based on estimated transmission intensity while accounting for time-varying vaccination coverage. We estimated vaccine demand and impact of future preventive mass vaccination campaigns (PMVCs) according to various vaccination scenarios. Vaccination activities conducted in Africa between 2005 and 2017 were estimated to prevent from 3.3 (95% CI 1.2-7.7) to 6.1 (95% CI 2.4-13.2) millions of deaths over the lifetime of vaccinees, representing extreme scenarios of none or maximal herd effects, respectively. By prioritizing provinces based on the risk of urban YF transmission in future PMVCs, an average of 37.7 million annual doses for PMVCs over eight years would avert an estimated 9,900,000 (95% CI 7,000,000-13,400,000) infections and 480,000 (180,000-1,140,000) deaths over the lifetime of vaccinees, corresponding to 1.7 (0.7-4.1) deaths averted per 1,000 vaccine doses.

conclusionsBy estimating YF burden and vaccine impact over a range of spatial and temporal scales, while accounting for the specificity of urban transmission, our model can be used to inform the current EYE strategy.

Indexed as

Cost of IllnessAdolescentAdultAfricaAgedAged, 80 and overChildChild, PreschoolDisease Transmission, InfectiousEpidemicsEpidemiologic MethodsFemaleHumansInfantInfant, NewbornMaleYellow Fever Vaccine

Identifiers

PMID32379756
PMCPMC7237041

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.