Evidence map›Paper›PMID 30858834›Full record

ArticleFrontiers in microbiology2019

Exploring Evolutionary and Transmission Dynamics of HIV Epidemic in Serbia: Bridging Socio-Demographic With Phylogenetic Approach.

Luka Jovanović, Marina Šiljić, Valentina Ćirković, Dubravka Salemović, Ivana Pešić-Pavlović, Marija Todorović, Jovan Ranin, Djordje Jevtović, Maja Stanojević

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

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  3. Application progress of latent class growth models in dynamic prevention and control strategies for acquired immunodeficiency syndrome.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2024
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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 at 1 institution in 1 country.

Luka JovanovićInstitute of Microbiology and Immunology, Faculty of Medicine, University of Belgrade, Belgrade, Serbia.
Marina ŠiljićInstitute of Microbiology and Immunology, Faculty of Medicine, University of Belgrade, Belgrade, Serbia.
Valentina ĆirkovićInstitute of Microbiology and Immunology, Faculty of Medicine, University of Belgrade, Belgrade, Serbia.
Dubravka SalemovićInfectious and Tropical Diseases University Hospital, Clinical Centre of Serbia, Belgrade, Serbia.
Ivana Pešić-PavlovićVirology Laboratory, Microbiology Department, Clinical Centre of Serbia, Belgrade, Serbia.
Marija TodorovićInstitute of Microbiology and Immunology, Faculty of Medicine, University of Belgrade, Belgrade, Serbia.
Jovan RaninInfectious and Tropical Diseases University Hospital, Clinical Centre of Serbia, Belgrade, Serbia.
Djordje JevtovićInfectious and Tropical Diseases University Hospital, Clinical Centre of Serbia, Belgrade, Serbia.
Maja StanojevićInstitute of Microbiology and Immunology, Faculty of Medicine, University of Belgrade, Belgrade, Serbia.
University of Belgrade · RS

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous molecular studies of Serbian HIV epidemic identified the dominance of subtype B and presence of clusters related HIV-1 transmission, in particular among men who have sex with men (MSM). In order to get a deeper understanding of the complexities of HIV sub-epidemics in Serbia, epidemic trends, temporal origin and phylodynamic characteristics in general population and subpopulations were analyzed by means of mathematical modeling, phylogenetic analysis and latent class analysis (LCA). Fitting of the logistic curve of trends for a cumulative annual number of new HIV cases in 1984-2016, in general population and MSM transmission group, was performed. Both datasets fitted the logistic growth model, showing the early exponential phase of the growth curve. According to the suggested model, in the year 2030, the number of newly diagnosed HIV cases in Serbia will continue to grow, in particular in the MSM transmission group. Further, a detailed phylogenetic analysis was performed on 385 sequences from the period 1997-2015. Identification of transmission clusters, estimation of population growth (Ne), of the effective reproductive number (Re) and time of the most recent common ancestor (tMRCA) were estimated employing Bayesian and maximum likelihood methods. A substantial proportion of 53% of subtype B sequences was found within transmission clusters/network. Phylodynamic analysis revealed Re over one during the whole period investigated, with the steepest slopes and a recent tMRCA for MSM transmission group subtype B clades, in line with a growing trend in the number of transmissions in years approaching the end of the study period. Contrary, heterosexual clades in both studied subtypes - B and C - showed modest growth and stagnation. LCA analysis identified five latent classes, with transmission clusters dominantly present in 2/5 classes, linked to MSM transmission living in the capital city and with the high prevalence of co-infection with HBV and/or other STIs.Presented findings imply that HIV epidemic in Serbia is still in the exponential growth phase, in particular, related to the MSM transmission, with estimated steep growth curve until 2030. The obtained results imply that an average new HIV patient in Serbia is a young man with concomitant sexually transmitted infection.

Indexed as

HIV-1latent class analysismodelMSMphylodynamicsSerbiasubtype Btransmission clusters

Identifiers

PMID30858834
PMCPMC6397891
OpenAlexW2917792079

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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.