Evidence map›Paper›PMID 33959322›Full record

ArticleRoyal Society open science2021

Quantifying the risk of vector-borne disease transmission attributable to genetically modified vectors.

Geoffrey R Hosack, Adrien Ickowicz, Keith R Hayes

Abstract read
In one paragraph

Article in Royal Society open science, 2021. 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
–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

2 citing papers in PubMed.

  1. Review
  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

3 authors.

Geoffrey R HosackCommonwealth Scientific and Industrial Research Organisation, Data61, Hobart, Tasmania, Australia.ORCID 0000-0002-6462-6817
Adrien IckowiczCommonwealth Scientific and Industrial Research Organisation, Data61, Hobart, Tasmania, Australia.ORCID 0000-0001-7861-7340
Keith R HayesCommonwealth Scientific and Industrial Research Organisation, Data61, Hobart, Tasmania, Australia.ORCID 0000-0003-4094-3575

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The relative risk of disease transmission caused by the potential release of transgenic vectors, such as through sterile insect technique or gene drive systems, is assessed with comparison with wild-type vectors. The probabilistic risk framework is demonstrated with an assessment of the relative risk of lymphatic filariasis, malaria and o'nyong'nyong arbovirus transmission by mosquito vectors to human hosts given a released transgenic strain of

Indexed as

dynamical systemsgenetic vector controlnext generation matrixPlasmodium falciparumtransient dynamicsWuchereria bancrofti

Identifiers

PMID33959322
PMCPMC8074930

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.