Evidence map›Paper›PMID 34735428›Full record

ArticlePLoS computational biology2021

Modelling response strategies for controlling gonorrhoea outbreaks in men who have sex with men in Australia.

Qibin Duan, Chris Carmody, Basil Donovan, Rebecca J Guy, Ben B Hui, John M Kaldor, Monica M Lahra, Matthew G Law, David A Lewis, Michael Maley and 7 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
0.7field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. 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

17 authors at 7 institutions in 2 countries.

Qibin DuanSchool of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia.ORCID 0000-0003-0764-1380
Chris CarmodyLiverpool Sexual Health Clinic, South Western Sydney Local Health District, Sydney, Australia.ORCID 0000-0001-7234-381X
Basil DonovanThe Kirby Institute, UNSW Sydney, Sydney, Australia.ORCID 0000-0001-8851-4126
Rebecca J GuyThe Kirby Institute, UNSW Sydney, Sydney, Australia.ORCID 0000-0002-2929-4634
Ben B HuiThe Kirby Institute, UNSW Sydney, Sydney, Australia.ORCID 0000-0002-6567-5821
John M KaldorThe Kirby Institute, UNSW Sydney, Sydney, Australia.
Monica M LahraMicrobiology Department, New South Wales Health Pathology, The Prince of Wales Hospital, Sydney, Australia.
Matthew G LawThe Kirby Institute, UNSW Sydney, Sydney, Australia.ORCID 0000-0002-3540-8837
David A LewisWestern Sydney Sexual Health Centre, Western Sydney Local Health District, Sydney, Australia.ORCID 0000-0002-5534-8392
Michael MaleyDepartment of Microbiology and Infectious Diseases, Liverpool Hospital, Sydney, Australia.ORCID 0000-0001-8286-0677
Skye McGregorThe Kirby Institute, UNSW Sydney, Sydney, Australia.
Anna McNultySydney Sexual Health Centre, South Eastern Sydney Local Health District, Sydney, Australia.
Christine SelveyCommunicable Diseases Branch, Health Protection NSW, Sydney, Australia.
David J TempletonThe Kirby Institute, UNSW Sydney, Sydney, Australia.
David M WhileyCentre for Clinical Research, University of Queensland, Brisbane, Australia.
David G ReganThe Kirby Institute, UNSW Sydney, Sydney, Australia.ORCID 0000-0002-2893-0969
James G WoodSchool of Population Health, UNSW Sydney, Sydney, Australia.
UNSW Sydney · AUThe University of Sydney · AULiverpool Hospital · AUNew South Wales Department of Health · AUQueensland University of Technology · AUSouth Western Sydney Local Health District · AUThe University of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability to treat gonorrhoea with current first-line drugs is threatened by the global spread of extensively drug resistant (XDR) Neisseria gonorrhoeae (NG) strains. In Australia, urban transmission is high among men who have sex with men (MSM) and importation of an XDR NG strain in this population could result in an epidemic that would be difficult and costly to control. An individual-based, anatomical site-specific mathematical model of NG transmission among Australian MSM was developed and used to evaluate the potential for elimination of an imported NG strain under a range of case-based and population-based test-and-treat strategies. When initiated upon detection of the imported strain, these strategies enhance the probability of elimination and reduce the outbreak size compared with current practice (current testing levels and no contact tracing). The most effective strategies combine testing targeted at regular and casual partners with increased rates of population testing. However, even with the most effective strategies, outbreaks can persist for up to 2 years post-detection. Our simulations suggest that local elimination of imported NG strains can be achieved with high probability using combined case-based and population-based test-and-treat strategies. These strategies may be an effective means of preserving current treatments in the event of wider XDR NG emergence.

Indexed as

Homosexuality, MaleModels, BiologicalAustraliaComputational BiologyComputer SimulationDisease OutbreaksDrug Resistance, Multiple, BacterialEpidemiological ModelsGonorrheaHumansMaleNeisseria gonorrhoeaePrevalence

Identifiers

PMID34735428
PMCPMC8594806
OpenAlexW3207988582

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.