Evidence map›Paper›PMID 33160416›Full record

ArticleParasites & vectors2020

Modeling and simulation of the spatial population dynamics of the Aedes aegypti mosquito with an insecticide application.

Monalisa R Silva, Pedro H G Lugão, Grigori Chapiro

Abstract read
In one paragraph

Article in Parasites & vectors, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

3 authors.

Monalisa R SilvaDepartment of Mathematics, UFJF, Juiz de Fora, MG, Brazil.
Pedro H G LugãoDepartment of Mathematics, UFJF, Juiz de Fora, MG, Brazil.
Grigori ChapiroDepartment of Mathematics, UFJF, Juiz de Fora, MG, Brazil. grigori@ice.ufjf.br.ORCID http://orcid.org/0000-0003-4568-834X

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 303245/2019-0Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 001
6 · The paper itself

Abstract

backgroundThe Aedes aegypti mosquito is the primary vector for several diseases. Its control requires a better understanding of the mosquitoes' live cycle, including the spatial dynamics. Several models address this issue. However, they rely on many hard to measure parameters. This work presents a model describing the spatial population dynamics of Aedes aegypti mosquitoes using partial differential equations (PDEs) relying on a few parameters.

methodsWe show how to estimate model parameter values from the experimental data found in the literature using concepts from dynamical systems, genetic algorithm optimization and partial differential equations. We show that our model reproduces some analytical formulas relating the carrying capacity coefficient to experimentally measurable quantities as the maximum number of mobile female mosquitoes, the maximum number of eggs, or the maximum number of larvae. As an application of the presented methodology, we replicate one field experiment numerically and investigate the effect of different frequencies in the insecticide application in the urban environment.

resultsThe numerical results suggest that the insecticide application has a limited impact on the mosquitoes population and that the optimal application frequency is close to one week.

conclusionsModels based on partial differential equations provide an efficient tool for simulating mosquitoes' spatial population dynamics. The reduced model can reproduce such dynamics on a sufficiently large scale.

Indexed as

Mosquito ControlAedesAnimalsComputer SimulationFemaleInsecticidesLarvaMosquito VectorsPopulation DensityPopulation DynamicsInsecticidesAedes aegyptiModelingSpatial Population Dynamics

Identifiers

PMID33160416
PMCPMC7648403

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.