Evidence map›Paper›PMID 37167285›Full record

ArticlePloS one2023

Time-dependent vaccine efficacy estimation quantified by a mathematical model.

Jennifer Loria, Vinicius V L Albani, Francisco A B Coutinho, Dimas T Covas, Claudio J Struchiner, Jorge P Zubelli, Eduardo Massad

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 51% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

7 authors at 6 institutions in 3 countries.

Jennifer LoriaInstituto de Matemática Pura e Aplicada, Rio de Janeiro, Brazil.
Vinicius V L AlbaniLAMMCA, Department of Mathematics, Federal University of Santa Catarina, Florianopolis, Brazil.
Francisco A B CoutinhoDepartment of Pathology, University of São Paulo, São Paulo, Brazil.
Dimas T CovasInstituto Butantan, São Paulo, Brazil.
Claudio J StruchinerSchool of Applied Mathematics, Fundação Getúlio Vargas, Rio de Janeiro, Brazil.
Jorge P ZubelliMathematics Department, Khalifa University, Abu Dhabi, UAE.ORCID 0000-0003-1581-9505
Eduardo MassadSchool of Applied Mathematics, Fundação Getúlio Vargas, Rio de Janeiro, Brazil.
Universidade de São Paulo · BRFundação Getulio Vargas · BRInstituto Butantan · BRInstituto Nacional de Matemática Pura e Aplicada · BRKhalifa University of Science and Technology · AEUniversidade Federal de Santa Catarina · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper we calculate the variation of the estimated vaccine efficacy (VE) due to the time-dependent force of infection resulting from the difference between the moment the Clinical Trial (CT) begins and the peak in the outbreak intensity. Using a simple mathematical model we tested the hypothesis that the time difference between the moment the CT begins and the peak in the outbreak intensity determines substantially different values for VE. We exemplify the method with the case of the VE efficacy estimation for one of the vaccines against the new coronavirus SARS-CoV-2.

Indexed as

COVID-19Disease OutbreaksHumansSARS-CoV-2Vaccine Efficacy

Identifiers

PMID37167285
PMCPMC10174497
OpenAlexW4376226094

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.