Evidence map›Paper›PMID 35777906›Full record

ArticleJournal of advanced research2022

The role of mild and asymptomatic infections on COVID-19 vaccines performance: A modeling study.

Maíra Aguiar, Joseba Bidaurrazaga Van-Dierdonck, Javier Mar, Nico Stollenwerk

Open access · goldAbstract read
In one paragraph

Article in Journal of advanced research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 16% of its field
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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. 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

4 authors at 3 institutions in 2 countries.

Maíra AguiarBasque Center for Applied Mathematics (BCAM), Bilbao, Spain; Dipartimento di Matematica, Università degli Studi di Trento, Italy; Ikerbasque, Basque Foundation for Science, Bilbao, Spain. Electronic address: maguiar@bcamath.org.
Joseba Bidaurrazaga Van-DierdonckPublic Health, Basque Health Department, Rekalde Zumarkalea 39A - 48008, Bilbao, Spain.
Javier MarOsakidetza Basque Health Service, Debagoiena Integrated Healthcare Organisation, Research Unit, Arrasate-Mondragón, Guipúzcoa, Spain; Biodonostia Health Research Institute, Donostia-San Sebastián, Guipúzcoa, Spain; Kronikgune Institute for Health Services Research, Economic Evaluation Unit, Barakaldo, Spain.
Nico StollenwerkBasque Center for Applied Mathematics (BCAM), Bilbao, Spain; Dipartimento di Matematica, Università degli Studi di Trento, Italy.
University of Trento · ITBasque Government · ESBiogipuzkoa Health Research Institute · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDifferent COVID-19 vaccine efficacies are reported, with remarkable effectiveness against severe disease. The so called sterilizing immunity, occurring when vaccinated individuals cannot transmit the virus, is still being evaluated. It is also unclear to what extent people with no symptoms or mild infection transmit the disease, and estimating their contribution to outbreaks is challenging.

objectiveWith an uneven roll out of vaccination, the purpose of this study is to investigate the role of mild and asymptomatic infections on COVID-19 vaccine performance as vaccine efficacy and vaccine coverage vary.

methodsWe use an epidemiological SHAR (Susceptible-Hospitalized-Asymptomatic-Recovered) model framework to evaluate the effects of vaccination in different epidemiological scenarios of coverage and efficacy. Two vaccination models, the vaccine V

resultsVaccine performance is driven by the ability of asymptomatic or mild disease cases transmitting the virus. Vaccines protecting against severe disease but failing to block transmission might not be able to reduce significantly the severe disease burden during the initial stage of a vaccination roll out programme, with an eventual increase on the number of overall infections in a population.

conclusionThe different COVID-19 vaccines currently in use have features placing them closer to one or the other of these two extreme cases, V

Indexed as

COVID-19VaccinesAsymptomatic InfectionsCOVID-19 VaccinesHumansVaccinationCOVID-19 VaccinesVaccinesAsymptomatic infectionCOVID-19Mathematical modelingVaccine coverageVaccine efficacy

Identifiers

PMID35777906
PMCPMC8592646
OpenAlexW3214090769

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.