Evidence map›Paper›PMID 37187486›Full record

ArticleLancet regional health. Americas2023

Prevention of a dengue outbreak via the large-scale deployment of Sterile Insect Technology in a Brazilian city: a prospective study.

Lisiane de Castro Poncio, Filipe Apolinário Dos Anjos, Deborah Aline de Oliveira, Aline de Oliveira da Rosa, Bianca Piraccini Silva, Débora Rebechi, Jorge Márcio Pedrosa, Diego Alan da Costa Franciscato, Cláudio de Souza, Nitzan Paldi

Open access · goldAbstract read
In one paragraph

Article in Lancet regional health. Americas, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.9field-weighted citation impact, top 5% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Life table variations inFrontiers in insect science · 2025
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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

10 authors.

Lisiane de Castro PoncioForrest Brasil Tecnologia Ltda, São José dos Pinhais, PR, Brazil.
Filipe Apolinário Dos AnjosForrest Brasil Tecnologia Ltda, São José dos Pinhais, PR, Brazil.
Deborah Aline de OliveiraForrest Brasil Tecnologia Ltda, São José dos Pinhais, PR, Brazil.
Aline de Oliveira da RosaForrest Brasil Tecnologia Ltda, São José dos Pinhais, PR, Brazil.
Bianca Piraccini SilvaForrest Brasil Tecnologia Ltda, São José dos Pinhais, PR, Brazil.
Débora RebechiForrest Brasil Tecnologia Ltda, São José dos Pinhais, PR, Brazil.
Jorge Márcio PedrosaForrest Brasil Tecnologia Ltda, São José dos Pinhais, PR, Brazil.
Diego Alan da Costa FranciscatoDepartment of Health of Ortigueira, PR, Brazil.
Cláudio de SouzaDepartment of Health of Ortigueira, PR, Brazil.
Nitzan PaldiForrest Innovations Ltd, Rehovot, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Dengue is a global problem that seems to be worsening, as hyper-urbanization associated with climate change has led to a significant increase in the abundance and geographical spread of its principal vector, the Methods: Sterile male mosquitoes were produced from locally sourced Findings: During the two epidemiological seasons, the intervention in Ortigueira resulted in up to 98.7% suppression of live progeny of field Interpretation: The NVC method was confirmed to be a safe and efficient way to suppress Funding: This study was funded by Klabin S/A and Forrest Innovations Ltd.

Indexed as

ArbovirusesDengueMosquito-borne diseasesNatural vector controlSterile Insect Technology

Identifiers

PMID37187486
PMCPMC10176055
OpenAlexW4367626202

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.