Evidence map›Paper›PMID 21928097›Full record

ReviewAIDS and behavior2012

HIV transmission rate modeling: a primer, review, and extension.

Steven D Pinkerton

Abstract readReview
In one paragraph

Review in AIDS and behavior, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Posterior Estimates of Dynamic Constants in HIV Transmission Modeling.Computational and mathematical methods in medicine · 2017
    Article
  7. Article
  8. Article
  9. Article
  10. 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

1 author.

Steven D PinkertonCenter for AIDS Intervention Research, Department of Psychiatry and Behavioral Medicine, Medical College of Wisconsin, Milwaukee, 53202, USA. pinkrton@mcw.edu

Funding

QUANTITATIVE COREP30MH052776 · NIMH · MEDICAL COLLEGE OF WISCONSIN · PI MCAULIFFE, TIMOTHY L · 1994 to 2018
$33.2M
Cost-Effectiveness of Preventing Acute-Phase HIV TransmissionR01MH077511 · NIMH · MEDICAL COLLEGE OF WISCONSIN · PI PINKERTON, STEVEN D. · 2007 to 2009
$835k
NIMH NIH HHS P30 MH052776NIMH NIH HHS P30-MH52776NIMH NIH HHS R01 MH077511NIMH NIH HHS R01-MH077511
6 · The paper itself

Abstract

Several mathematical modeling studies based on the concept of "HIV transmission rates" have recently appeared in the literature. The transmission rate for a particular group of HIV-infected persons is defined as the mean number of secondary infections per member of the group per unit time. This article reviews the fundamental principles and mathematics of transmission rate models; explicates the relationship between these models, Bernoullian models of HIV transmission, and mathematical models based on the concept of the "reproductive rate of infection"; describes an extension of existing transmission rate models to better incorporate the positive impact of HIV treatment; and discusses the limitations of the transmission rate modeling approach. Results from the extended transmission rate model indicate that approximately 51.6% of new sexually-transmitted infections in the US are due to the transmission risk behaviors of infected persons who are unaware of their infection, including 10.9% due to persons in the acute phase of HIV infection. Findings from this study suggest that significant reductions in HIV incidence likely will require a combination of increased antibody testing, enhanced early detection of acute HIV infection, appropriate medical care and antiretroviral medicine adherence counseling, and behavioral risk reduction interventions.

Indexed as

CoinfectionCounselingFemaleHIV SeropositivityHumansIncidenceMaleModels, TheoreticalRisk Reduction BehaviorRisk-Taking

Identifiers

PMID21928097
PMCPMC4103007

What OpenQuestion holds

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Registered trials

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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.