Evidence map›Paper›PMID 37115773›Full record

ArticlePloS one2023

Mathematical modeling of the performance of wild and transgenic mosquitoes in malaria transmission.

Ana Paula Wyse, Antonio José Boness Dos Santos, Juarez Dos Santos Azevedo, Aline Costa de Meneses, Victor Matheus Da Cunha Santos

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. 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
0.3field-weighted citation impact, top 41% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

5 authors at 2 institutions in 1 country.

Ana Paula WyseDepartment of Scientific Computing, Informatics Center, Federal University of Paraíba, João Pessoa, Paraíba, Brazil.ORCID 0000-0001-7002-4110
Antonio José Boness Dos SantosDepartment of Scientific Computing, Informatics Center, Federal University of Paraíba, João Pessoa, Paraíba, Brazil.
Juarez Dos Santos AzevedoInstitute of Science, Technology and Innovation, Federal University of Bahia, Camaçari, Bahia, Brazil.
Aline Costa de MenesesGraduate Program in Mathematical and Computational Modeling, Informatics Center, Federal University of Paraíba, João Pessoa, Paraíba, Brazil.
Victor Matheus Da Cunha SantosGraduate Program in Mathematical and Computational Modeling, Informatics Center, Federal University of Paraíba, João Pessoa, Paraíba, Brazil.ORCID 0000-0002-1689-6775
Universidade Federal da Paraíba · BRUniversidade Federal da Bahia · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A mathematical model that simulates malaria transmission under the influence of transgenic mosquitoes refractory to malaria is presented in this paper. The zygosity of transgenic mosquitoes is taken into account and, consequently, the total population of mosquitoes is comprised of wild type and heterozygous and homozygous transgenic mosquitoes. These three mosquito varieties interact by mating and competition, and the genetic characteristics of their resulting offspring are in accordance with Mendelian genetics or the mutagenic chain reaction (MCR) technique. Although the incorporation of transgenic mosquitoes into the ecosystem reduces the incidence of malaria, the model also takes into account the importance of completing treatment in individuals with confirmed infection and the imminent risk of increased environmental temperature.

Indexed as

AnophelesMalariaAnimalsAnimals, Genetically ModifiedEcosystemHumansModels, TheoreticalMosquito Vectors

Identifiers

PMID37115773
PMCPMC10146568
OpenAlexW4367297366

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.