Evidence map›Paper›PMID 37317678›Full record

ArticleJournal of the International AIDS Society2023

A population-level application of a method for estimating the timing of HIV acquisition among migrants to Australia.

Jonathan M King, Kathy Petoumenos, Timothy Dobbins, Rebecca J Guy, Richard T Gray, Steven J Nigro, Damin Si, Byron Minas, Skye McGregor

Abstract read
In one paragraph

Article in Journal of the International AIDS Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

9 authors.

Jonathan M KingThe Kirby Institute, UNSW Sydney, Sydney, New South Wales, Australia.ORCID 0000-0001-9086-5929
Kathy PetoumenosThe Kirby Institute, UNSW Sydney, Sydney, New South Wales, Australia.ORCID 0000-0001-7534-7154
Timothy DobbinsSchool of Population Health, UNSW Sydney, Sydney, New South Wales, Australia.ORCID 0000-0003-1841-9056
Rebecca J GuyThe Kirby Institute, UNSW Sydney, Sydney, New South Wales, Australia.
Richard T GrayThe Kirby Institute, UNSW Sydney, Sydney, New South Wales, Australia.ORCID 0000-0002-2885-0483
Steven J NigroCommunicable Diseases Branch, Health Protection NSW, Sydney, New South Wales, Australia.ORCID 0000-0001-9613-8829
Damin SiCommunicable Diseases Branch, Prevention Division, Queensland Health, Brisbane, Queensland, Australia.ORCID 0000-0002-1066-5845
Byron MinasCommunicable Disease Control Directorate, Department of Health WA, Perth, Western Australia, Australia.
Skye McGregorThe Kirby Institute, UNSW Sydney, Sydney, New South Wales, Australia.ORCID 0000-0002-8116-4319

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAustralia has set the goal for the virtual elimination of HIV transmission by the end of 2022, yet accurate information is lacking on the level of HIV transmission occurring among residents. We developed a method for estimating the timing of HIV acquisition among migrants, relative to their arrival in Australia. We then applied this method to surveillance data from the Australian National HIV Registry with the aim of ascertaining the level of HIV transmission among migrants to Australia occurring before and after migration, and to inform appropriate local public health interventions.

methodsWe developed an algorithm incorporating CD4

resultsBetween 1 January 2016 and 31 December 2020, 1909 migrants were newly diagnosed with HIV in Australia, 85% were men, and the median age was 33 years. Using the enhanced algorithm, 932 (49%) were estimated to have acquired HIV after arrival in Australia, 629 (33%) before arrival (from overseas), 250 (13%) close to arrival and 98 (5%) were unable to be classified. Using the standard algorithm, 622 (33%) were estimated to have acquired HIV in Australia, 472 (25%) before arrival, 321 (17%) close to arrival and 494 (26%) were unable to be classified.

conclusionsUsing our algorithm, close to half of migrants diagnosed with HIV were estimated to have acquired HIV after arrival in Australia, highlighting the need for tailored culturally appropriate testing and prevention programmes to limit HIV transmission and achieve elimination targets. Our method reduced the proportion of HIV cases unable to be classified and can be adopted in other countries with similar HIV surveillance protocols, to inform epidemiology and elimination efforts.

Indexed as

HIV InfectionsTransients and MigrantsAdultAlgorithmsAustraliaFemaleHIV TestingHumansMaleHIV epidemiologyHIV preventionkey and vulnerable populationsmen who have sex with menpublic healthsexually transmitted infections/diseases

Identifiers

PMID37317678
PMCPMC10267571

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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.