Evidence map›Paper›PMID 26753627›Full record

ArticleEpidemiology and infection2016

Understanding the effects of different HIV transmission models in individual-based microsimulation of HIV epidemic dynamics in people who inject drugs.

J F G Monteiro, D J Escudero, C Weinreb, T Flanigan, S Galea, S R Friedman, B D L Marshall

Open access · bronzeAbstract read
In one paragraph

Article in Epidemiology and infection, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 20% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. A Review of Network Models for HIV Spread.Journal of acquired immune deficiency syndromes (1999) · 2025
    Pooled it
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  6. Predicting the Effectiveness of Endemic Infectious Disease Control Interventions: The Impact of Mass Action versus Network Model Structure.Medical decision making : an international journal of the Society for Medical Decision Making · 2021
    Article
  7. Review
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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

7 authors at 4 institutions in 1 country.

J F G MonteiroSchool of Public Health,Brown University,Providence,RI,USA.
D J EscuderoSchool of Public Health,Brown University,Providence,RI,USA.
C WeinrebSchool of Public Health,Brown University,Providence,RI,USA.
T FlaniganDivision of Infectious Diseases,The Miriam Hospital,Providence,RI,USA.
S GaleaSchool of Public Health,Boston University,Boston,MA,USA.
S R FriedmanInstitute for Infectious Disease Research, National Development and Research Institutes Inc.,New York,NY,USA.
B D L MarshallSchool of Public Health,Brown University,Providence,RI,USA.
Brown University · USMiriam Hospital · USBoston University · USNational Development and Research Institutes · US

Funding

Translational ScienceP30AI042853 · NIAID · MIRIAM HOSPITAL · PI LARRY K BROWN · 1998 to 2026
$51.7M
HIV and Other Infectious Consequences of Substance UseT32DA013911 · NIDA · MIRIAM HOSPITAL · PI TRACI C GREEN, JOSIAH D RICH · 2001 to 2026
$9.6M
COMMUNITY VULNERABILITY AND RESPONSES TO IDU-RELATED HIVR01DA013336 · NIDA · NATIONAL DEVELOPMENT &RES INSTITUTES · PI COOPER, HANNAH LF, FRIEDMAN, SAMUEL R · 2000 to 2013
$7.6M
Highly Adaptive Epidemic Control Strategies for HIV Prevention in Drug UsersDP2DA040236 · NIDA · BROWN UNIVERSITY · PI MARSHALL, BRANDON DAVID LEWIS · 2015 to 2015
$2.4M
Estimating the impact of acute-stage HIV transmission among drug usersF31DA037808 · NIDA · BROWN UNIVERSITY · PI ESCUDERO, DANIEL · 2014 to 2015
$86k
NIAID NIH HHS P30 AI042853NIDA NIH HHS DP2 DA040236NIDA NIH HHS F31 DA037808NIDA NIH HHS R01 DA013336NIDA NIH HHS T32 DA013911
6 · The paper itself

Abstract

We investigated how different models of HIV transmission, and assumptions regarding the distribution of unprotected sex and syringe-sharing events ('risk acts'), affect quantitative understanding of HIV transmission process in people who inject drugs (PWID). The individual-based model simulated HIV transmission in a dynamic sexual and injecting network representing New York City. We constructed four HIV transmission models: model 1, constant probabilities; model 2, random number of sexual and parenteral acts; model 3, viral load individual assigned; and model 4, two groups of partnerships (low and high risk). Overall, models with less heterogeneity were more sensitive to changes in numbers risk acts, producing HIV incidence up to four times higher than that empirically observed. Although all models overestimated HIV incidence, micro-simulations with greater heterogeneity in the HIV transmission modelling process produced more robust results and better reproduced empirical epidemic dynamics.

Indexed as

EpidemicsAdolescentAdultFemaleHIV InfectionsHumansIncidenceMaleMiddle AgedModels, StatisticalNew York CitySubstance Abuse, IntravenousUnsafe SexYoung AdultCondom useHIVindividual-based modelMonte Carlo simulation

Identifiers

PMID26753627
PMCPMC5322479
OpenAlexW2342424756

What OpenQuestion holds

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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.