Evidence map›Paper›PMID 41533203›Full record

ArticleBulletin of mathematical biology2026

RDA-PSO: A Computational Method to Quantify the Diffusive Dispersal of Insects.

Lidia Mrad, Joceline Lega

Abstract read
In one paragraph

Article in Bulletin of mathematical biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Lidia MradDepartment of Mathematics and Statistics, Mount Holyoke College, 50 College St., South Hadley, 01075, MA, USA. lmrad@mtholyoke.edu.ORCID http://orcid.org/0000-0002-9714-8663
Joceline LegaDepartment of Mathematics, University of Arizona, 617 N Santa Rita Ave., Tucson, 85721, AZ, USA.ORCID http://orcid.org/0000-0003-2064-229X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article introduces a computational method, called Recapture of Diffusive Agents & Particle Swarm Optimization (RDA-PSO), designed to estimate the dispersal parameter of diffusive insects in mark-release-recapture (MRR) field experiments. In addition to describing the method, its properties are discussed, with particular focus on robustness in estimating the observed diffusion coefficient in the presence of uncertainty. It is shown that RDA-PSO provides a simple and reliable approach to quantify insect dispersal that can handle low recapture rates and uneven capture site distributions without the need for area corrections. Tests on synthetic data, for which the actual diffusion coefficient is known, show the method outperforms three techniques based on the solution of the diffusion equation, which are also introduced in this work. Examples of application to real field data for the yellow fever mosquito are provided.

Indexed as

Animal DistributionModels, BiologicalAnimalsComputational BiologyComputer SimulationCulicidaeDiffusionInsectaMathematical ConceptsParticle Swarm OptimizationDiffusionEstimation of dispersal propertiesMark-release-recapture experimentsMosquitoesParameter inferenceParticle Swarm Optimization

Identifiers

PMID41533203
PMCPMC12804437

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.