Evidence map›Paper›PMID 31997717›Full record

ArticleEmerging microbes & infections2020

Incorporation of information diffusion model for enhancing analyses in HIV molecular surveillance.

Tsz Ho Kwan, Ngai Sze Wong, Grace Chung Yan Lui, Kenny Chi Wai Chan, Owen Tak Yin Tsang, Wai Shing Leung, Kai Man Ho, Man Po Lee, Wilson Lam, Sze Nga Chan and 2 more

Open access · goldAbstract read
In one paragraph

Article in Emerging microbes & infections, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
0.3field-weighted citation impact, top 29% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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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

12 authors at 4 institutions in 5 countries.

Tsz Ho KwanJockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, Hong Kong.ORCID 0000-0002-2855-5038
Ngai Sze WongStanley Ho Centre for Emerging Infectious Diseases, The Chinese University of Hong Kong, Shatin, Hong Kong.
Grace Chung Yan LuiStanley Ho Centre for Emerging Infectious Diseases, The Chinese University of Hong Kong, Shatin, Hong Kong.
Kenny Chi Wai ChanIntegrated Treatment Centre, Department of Health, Kowloon Bay, Hong Kong.
Owen Tak Yin TsangDepartment of Medicine and Geriatrics, Princess Margaret Hospital, Lai Chi Kok, Hong Kong.
Wai Shing LeungDepartment of Medicine and Geriatrics, Princess Margaret Hospital, Lai Chi Kok, Hong Kong.
Kai Man HoDepartment of Medicine and Geriatrics, Princess Margaret Hospital, Lai Chi Kok, Hong Kong.
Man Po LeeDepartment of Medicine, Queen Elizabeth Hospital, Kowloon, Hong Kong.
Wilson LamDepartment of Medicine, Queen Elizabeth Hospital, Kowloon, Hong Kong.
Sze Nga ChanDepartment of Medicine, Queen Elizabeth Hospital, Kowloon, Hong Kong.
Denise Pui Chung ChanStanley Ho Centre for Emerging Infectious Diseases, The Chinese University of Hong Kong, Shatin, Hong Kong.
Shui Shan LeeStanley Ho Centre for Emerging Infectious Diseases, The Chinese University of Hong Kong, Shatin, Hong Kong.ORCID 0000-0003-1448-765X
Chinese University of Hong Kong · HKHospital Authority · HKQueen Elizabeth Hospital · GBDepartment of Health · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular surveillance of infections is essential in monitoring their transmission in the population. In this study, newly diagnosed HIV patients' phylogenetic, clinical and behavioural data were integrated, and an information diffusion model was incorporated in analysing transmission dynamics. A genetic network was constructed from HIV sequences, from which transmission cascades were extracted. From the transmission cascades, CRF01_AE had higher values of information diffusion metrics, including scale, speed and range, than that of B, signifying the distinct transmission patterns of two circulating subtypes in Hong Kong. Patients connected in the network, were more likely male, younger, of main circulating subtypes, to have acquired HIV infection locally, and a higher CD4 level at diagnosis. Genetic connections varied among men who have sex with men (MSM) who used different channels of sex networking and varied in their engagement in risk behaviours. MSM using recreational drugs for sex held positions of greater importance within the network. Significant differences in network metrics were observed among MSM as differentiated by their mobile apps usage patterns, evidencing the impact of social network on transmission networks. The applied model in the presence of consistently collected longitudinal data could enhance HIV molecular epidemiologic surveillance for informing future intervention planning.

Indexed as

HIV InfectionsDiffusionGene Regulatory NetworksHIV-1HumansMaleModels, BiologicalHIVinformation diffusionmen who have sex with menMolecular epidemiologynetwork analysis

Identifiers

PMID31997717
PMCPMC7034068
OpenAlexW3003287694

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.