Evidence map›Paper›PMID 38183286›Full record

ReviewExperimental biology and medicine (Maywood, N.J.)2023

Arbovirus surveillance in mosquitoes: Historical methods, emerging technologies, and challenges ahead.

Luis Janssen Maia, Cirilo Henrique de Oliveira, Arthur Batista Silva, Pedro Augusto Almeida Souza, Nicolas Felipe Drumm Müller, Jader da Cruz Cardoso, Bergmann Morais Ribeiro, Filipe Vieira Santos de Abreu, Fabrício Souza Campos

Abstract readReview
In one paragraph

Review in Experimental biology and medicine (Maywood, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Detection of Dengue virus serotype 2 (DENV-2) by RT-qPCR in Aedes aegypti in the state of Paraná, Brazil.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. High Frequencies ofPathogens (Basel, Switzerland) · 2024
    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

9 authors.

Luis Janssen MaiaInstituto de Ciências Biológicas, Departamento de Biologia Celular, Laboratório de Baculovírus, Universidade de Brasília, Brasília 70910-900, Brasil.
Cirilo Henrique de OliveiraLaboratório de Comportamento de Insetos, Instituto Federal do Norte de Minas Gerais, Salinas 39560-000, Brasil.
Arthur Batista SilvaLaboratório de Bioinformática e Biotecnologia, Universidade Federal do Tocantins, Gurupi 77402-970, Brasil.
Pedro Augusto Almeida SouzaLaboratório de Comportamento de Insetos, Instituto Federal do Norte de Minas Gerais, Salinas 39560-000, Brasil.ORCID 0000-0002-3969-9264
Nicolas Felipe Drumm MüllerInstituto de Ciências Básicas da Saúde, Universidade Federal do Rio Grande do Sul, Porto Alegre 90035-003, Brasil.
Jader da Cruz CardosoDivisão de Vigilância Ambiental em Saúde, Centro Estadual de Vigilância em Saúde, Secretaria Estadual de Saúde do Rio Grande do Sul, Porto Alegre 90610-000, Brasil.
Bergmann Morais RibeiroInstituto de Ciências Biológicas, Departamento de Biologia Celular, Laboratório de Baculovírus, Universidade de Brasília, Brasília 70910-900, Brasil.
Filipe Vieira Santos de AbreuLaboratório de Comportamento de Insetos, Instituto Federal do Norte de Minas Gerais, Salinas 39560-000, Brasil.ORCID 0000-0001-9768-4688
Fabrício Souza CamposLaboratório de Bioinformática e Biotecnologia, Universidade Federal do Tocantins, Gurupi 77402-970, Brasil.ORCID 0000-0002-5948-472X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Arboviruses cause millions of infections each year; however, only limited options are available for treatment and pharmacological prevention. Mosquitoes are among the most important vectors for the transmission of several pathogens to humans. Despite advances, the sampling, viral detection, and control methods for these insects remain ineffective. Challenges arise with the increase in mosquito populations due to climate change, insecticide resistance, and human interference affecting natural habitats, which contribute to the increasing difficulty in controlling the spread of arboviruses. Therefore, prioritizing arbovirus surveillance is essential for effective epidemic preparedness. In this review, we offer a concise historical account of the discovery and monitoring of arboviruses in mosquitoes, from mosquito capture to viral detection. We then analyzed the advantages and limitations of these traditional methods. Furthermore, we investigated the potential of emerging technologies to address these limitations, including the implementation of next-generation sequencing, paper-based devices, spectroscopic detectors, and synthetic biosensors. We also provide perspectives on recurring issues and areas of interest such as insect-specific viruses.

Indexed as

ArbovirusesArbovirus InfectionsCulicidaeAnimalsHumansMosquito VectorsarbovirusInsect-specific virusesmolecular methodsmosquitoNGSsurveillance

Identifiers

PMID38183286
PMCPMC10800135

What OpenQuestion holds

Textmetadata
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.