Evidence map›Paper›PMID 26093499›Full record

ReviewParasitology research2015

Research in mosquito control: current challenges for a brighter future.

Giovanni Benelli

Abstract readReview
PubMed Publisher
In one paragraph

Review in Parasitology research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 189 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
189citing papers in PubMed, 1 pooled it
–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

189 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Formulation and evaluation of topical essential oil lotion as repellent againstCurrent research in parasitology & vector-borne diseases · 2026
    Article
  8. Article
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  10. Article
  11. Article
  12. Article
  13. Article
  14. Populations of the Australian Saltmarsh MosquitoEvolutionary applications · 2025
    Article
  15. Article
  16. Green Synthesis of3 Biotech · 2025
    Article
  17. Article
  18. Article
  19. Article
  20. Unveiling the Larvicidal Potential of Golpar (Plants (Basel, Switzerland) · 2024
    Article

129 more citing papers are in PubMed but not listed here.

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

1 author.

Giovanni BenelliInsect Behavior Group, Department of Agriculture, Food and Environment, University of Pisa, via del Borghetto 80, 56124, Pisa, Italy, g.benelli@sssup.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mosquitoes (Diptera: Culicidae) are a key threat for millions of people worldwide, since they act as vectors for devastating pathogens and parasites. In this scenario, vector control is crucial. Mosquito larvae are usually targeted using organophosphates, insect growth regulators, and microbial agents. Indoor residual spraying and insecticide-treated bed nets are also employed. However, these chemicals have negative effects on human health and the environment and induce resistance in a number of vectors. Newer and safer tools have been recently implemented to enhance control of mosquitoes. Here, I focus on some crucial challenges about eco-friendly control of mosquito vectors, mainly the improvement of behavior-based control strategies (sterile insect technique ("SIT") and "boosted SIT") and plant-borne mosquitocidals, including green-synthesized nanoparticles. A number of hot areas that need further research and cooperation among parasitologists, entomologists, and behavioral ecologists are highlighted.

Indexed as

AnimalsCulicidaeHumansInsecticidesInsecticide-Treated BednetsInsect VectorsLarvaMosquito ControlPlant ExtractsInsecticidesPlant Extracts

Identifiers

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.