Evidence map›Paper›PMID 37128312›Full record

ArticleHeliyon2023

Using compartmental models and Particle Swarm Optimization to assess Dengue basic reproduction number

Vicente Alonso Navarro Valencia, Yamilka Díaz, Jose Miguel Pascale, Maciej F Boni, Javier E Sanchez-Galan

Abstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. 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

5 authors.

Vicente Alonso Navarro ValenciaFacultad de Ciencias y Tecnología, Universidad Tecnológica de Panamá, Campus Victor Levi Sasso, Panama, Panama.
Yamilka DíazDepartment of Research in Virology and Biotechnology, Gorgas Memorial Institute of Health Studies, Panama, Panama.
Jose Miguel PascaleUnit of Diagnosis, Clinical Research and Tropical Medicine, Gorgas Memorial Institute of Health Studies, Panama, Panama.
Maciej F BoniCenter for Infectious Disease Dynamics, Department of Biology, Pennsylvania State University, University Park, USA.
Javier E Sanchez-GalanGrupo de Investigación en Biotecnología, Bioinformática y Biología de Sistemas (GIBBS), Facultad de Ingeniería de Sistemas Computacionales, Universidad Tecnológica de Panamá, Campus Victor Levi Sasso, Panama, Panama.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nowadays, the ability to make data-driven decisions in public health is of utmost importance. To achieve this, it is necessary for modelers to comprehend the impact of models on the future state of healthcare systems. Compartmental models are a valuable tool for making informed epidemiological decisions, and the proper parameterization of these models is crucial for analyzing epidemiological events. This work evaluated the use of compartmental models in conjunction with Particle Swarm Optimization (PSO) to determine optimal solutions and understand the dynamics of Dengue epidemics. The focus was on calculating and evaluating the rate of case reproduction,

Indexed as

DengueODEPanamaPSOR0SEIRSIRSIR-SI

Identifiers

PMID37128312
PMCPMC10147988

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.