Evidence map›Paper›PMID 31687486›Full record

ArticleHeliyon2019

An alternative model to explain the vectorial capacity using as example

Alexandra Catano-Lopez, Daniel Rojas-Diaz, Henry Laniado, Sair Arboleda-Sánchez, María Eugenia Puerta-Yepes, Diana Paola Lizarralde-Bejarano

Abstract read
In one paragraph

Article in Heliyon, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. Pooled it
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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

6 authors.

Alexandra Catano-LopezDepartamento de Ciencias Matemáticas, Escuela de Ciencias, Universidad EAFIT, Carrera 49 No. 7 Sur-50, Medellín 050022, Colombia.
Daniel Rojas-DiazDepartamento de Ciencias Biológicas, Escuela de Ciencias, Universidad EAFIT, Carrera 49 No. 7 Sur-50, Medellín 050022, Colombia.
Henry LaniadoDepartamento de Ciencias Matemáticas, Escuela de Ciencias, Universidad EAFIT, Carrera 49 No. 7 Sur-50, Medellín 050022, Colombia.
Sair Arboleda-SánchezGrupo de Biología y Control de Enfermedades Infecciosas-BCEI, Universidad de Antioquia, Calle 70 No. 52-21, Medellín 050010, Colombia.
María Eugenia Puerta-YepesDepartamento de Ciencias Matemáticas, Escuela de Ciencias, Universidad EAFIT, Carrera 49 No. 7 Sur-50, Medellín 050022, Colombia.
Diana Paola Lizarralde-BejaranoDepartamento de Ciencias Matemáticas, Escuela de Ciencias, Universidad EAFIT, Carrera 49 No. 7 Sur-50, Medellín 050022, Colombia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vectorial capacity (VC), as a concept that describes the potential of a vector to transmit a pathogen, has had historical problems related to lacks in dimensional significance and high error propagation from parameters that take part in the model to output. Hence, values estimated with those equations are not sufficiently reliable to consider in control strategies or vector population study. In this paper, we propose a new VC model consistent at dimensional level, i.e., the definition and the equation of VC have same and consistent units, with a parameter estimation method and mathematical structure that reduces the uncertainty in model output, using as a case of study an

Indexed as

Applied mathematicsDengueEpidemiologyHealth sciencesInfectious diseaseMortalitySensitivity analysisUncertainty analysisVectorial capacityVirology

Identifiers

PMID31687486
PMCPMC6820089

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.