Evidence map›Paper›PMID 35650219›Full record

ArticleScientific reports2022

Modeling the impact of genetically modified male mosquitoes in the spatial population dynamics of Aedes aegypti.

Monalisa R da Silva, Pedro H G Lugão, Fábio Prezoto, Grigori Chapiro

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 25% of its field
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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 3 institutions in 1 country.

Monalisa R da SilvaLaboratory of Applied Mathematics (LAMAP), Federal University of Juiz de Fora, Juiz de Fora, MG, Brazil.
Pedro H G LugãoComputational Modeling Graduate Program - National Laboratory for Scientific Computing (LNCC), Petrópolis, RJ, Brazil.
Fábio PrezotoDepartment of Zoology, Institute of Biological Sciences, Federal University of Juiz de Fora, Juiz de Fora, MG, Brazil.
Grigori ChapiroLaboratory of Applied Mathematics (LAMAP), Federal University of Juiz de Fora, Juiz de Fora, MG, Brazil. grigori@ice.ufjf.br.
Universidade Federal de Juiz de Fora · BRInstituto Federal de Educação, Ciência e Tecnologia de Minas Gerais · BRLaboratório Nacional de Computação Científica · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mosquito Aedes aegypti is the primary vector of diseases such as dengue, Zika, chikungunya, and yellow fever. Improving control techniques requires a better understanding of the mosquito's life cycle, including spatial population dynamics in endemic regions. One of the most promising techniques consists of introducing genetically modified male mosquitoes. Several models proposed to describe this technique present mathematical issues or rely on numerous parameters, making their application challenging to real-world situations. We propose a model describing the spatial population dynamics of the Aedes aegypti in the presence of genetically modified males. This model presents some mathematical improvements compared to the literature allowing deeper mathematical analysis. Moreover, this model relies on few parameters, which we show how to obtain or estimate from the literature. Through numerical simulations, we investigate the impacts of environmental heterogeneity, the periodicity of genetically modified male releases, and released genetically modified males quantity on the population dynamics of Aedes aegypti. The main results point to that the successful application of this vector control technique relies on releasing more than a critical amount of modified males with a frequency exceeding a specific critical value.

Indexed as

AedesChikungunya FeverZika VirusZika Virus InfectionAnimalsMaleMosquito VectorsPopulation Dynamics

Identifiers

PMID35650219
PMCPMC9160293
OpenAlexW4281631024

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.