Evidence map›Paper›PMID 32160217›Full record

ArticlePloS one2020

Sensitivity, uncertainty and identifiability analyses to define a dengue transmission model with real data of an endemic municipality of Colombia.

Diana Paola Lizarralde-Bejarano, Daniel Rojas-Díaz, Sair Arboleda-Sánchez, María Eugenia Puerta-Yepes

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

4 authors.

Diana Paola Lizarralde-BejaranoDepartamento de Ciencias Matemáticas, Universidad EAFIT, Medellín, Antioquia, Colombia.ORCID 0000-0001-7134-5055
Daniel Rojas-DíazDepartamento de Ciencias Biológicas, Universidad EAFIT, Medellín, Antioquia, Colombia.ORCID 0000-0002-8460-8464
Sair Arboleda-SánchezGrupo de Biología y Control de Enfermedades Infecciosas-BCEI, Universidad de Antioquia, Medellín, Antioquia, Colombia.
María Eugenia Puerta-YepesDepartamento de Ciencias Matemáticas, Universidad EAFIT, Medellín, Antioquia, Colombia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dengue disease is a major problem for public health surveillance entities in tropical and subtropical regions having a significant impact not only epidemiological but social and economical. There are many factors involved in the dengue transmission process. We can evaluate the importance of these factors through the formulation of mathematical models. However, the majority of the models presented in the literature tend to be overparameterized, with considerable uncertainty levels and excessively complex formulations. We aim to evaluate the structure, complexity, trustworthiness, and suitability of three models, for the transmission of dengue disease, through different strategies. To achieve this goal, we perform structural and practical identifiability, sensitivity and uncertainty analyses to these models. The results showed that the simplest model was the most appropriate and reliable when the only available information to fit them is the cumulative number of reported dengue cases in an endemic municipality of Colombia.

Indexed as

AedesAnimalsBasic Reproduction NumberColombiaComputer SimulationDengueEndemic DiseasesEpidemiologic FactorsHumansMathematical ConceptsModels, BiologicalMosquito VectorsPopulation DynamicsPublic Health SurveillanceUncertainty

Identifiers

PMID32160217
PMCPMC7065780

What OpenQuestion holds

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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.