Evidence map›Paper›PMID 31364534›Full record

ArticleEpidemiology and infection2019

Modelling an optimum vaccination strategy against ZIKA virus for outbreak use.

Eduardo Massad, Francisco Antonio Bezerra Coutinho, Annelies Wilder-Smith

Abstract read
In one paragraph

Article in Epidemiology and infection, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
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

3 authors.

Eduardo MassadSchool of Medicine,University of Sao Paulo and LIM01-HCFMUSP,Sao Paulo,Brazil.ORCID 0000-0002-7200-2916
Francisco Antonio Bezerra CoutinhoSchool of Medicine,University of Sao Paulo and LIM01-HCFMUSP,Sao Paulo,Brazil.
Annelies Wilder-SmithGermany g Department Public Health and Clinical;Heidelberg Institute of Global Health,University of Heidelberg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a model to optimise a vaccination campaign aiming to prevent or to curb a Zika virus outbreak. We show that the optimum vaccination strategy to reduce the number of cases by a mass vaccination campaign should start when the Aedes mosquitoes' density reaches the threshold of 1.5 mosquitoes per humans, the moment the reproduction number crosses one. The maximum time it is advisable to wait for the introduction of a vaccination campaign is when the first ZIKV case is identified, although this would not be as effective to minimise the number of infections as when the mosquitoes' density crosses the critical threshold. This suboptimum strategy, however, would still curb the outbreak. In both cases, the catch up strategy should aim to vaccinate at least 25% of the target population during a concentrated effort of 1 month immediately after identifying the threshold. This is the time taken to accumulate the herd immunity threshold of 56.5%. These calculations were done based on theoretical assumptions that vaccine implementation would be feasible within a very short time frame.

Indexed as

Disease OutbreaksModels, StatisticalAedesAnimalsDisease Transmission, InfectiousHumansMass VaccinationMosquito VectorsViral VaccinesZika Virus InfectionViral VaccinesControl strategiesmathematical modelsvaccinesZika virus

Identifiers

PMID31364534
PMCPMC6536754

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.