Evidence map›Paper›PMID 33762616›Full record

ArticleScientific reports2021

Risk compensation after HIV-1 vaccination may accelerate viral adaptation and reduce cost-effectiveness: a modeling study.

Kathryn Peebles, John E Mittler, Steven M Goodreau, James T Murphy, Molly C Reid, Neil Abernethy, Geoffrey S Gottlieb, Ruanne V Barnabas, Joshua T Herbeck

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. A Review of Network Models for HIV Spread.Journal of acquired immune deficiency syndromes (1999) · 2025
    Pooled it
  2. Article
  3. 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

9 authors at 3 institutions in 1 country.

Kathryn PeeblesDepartment of Epidemiology, University of Washington, Seattle, WA, USA.
John E MittlerDepartment of Microbiology, University of Washington, Seattle, WA, USA.
Steven M GoodreauCenter for Studies in Demography and Ecology, University of Washington, Seattle, WA, USA.
James T MurphyDepartment of Global Health, University of Washington, Seattle, WA, USA.
Molly C ReidDepartment of Epidemiology, University of Washington, Seattle, WA, USA.
Neil AbernethyDepartment of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, USA.
Geoffrey S GottliebDepartment of Medicine, University of Washington, Seattle, WA, USA.
Ruanne V BarnabasDepartment of Epidemiology, University of Washington, Seattle, WA, USA.
Joshua T HerbeckDepartment of Global Health, University of Washington, Seattle, WA, USA. herbeck@uw.edu.
University of Washington · USNational Clinical Research · USUniversity of Washington Medical Center · US

Funding

Integrated bio-social models for HIV epidemiologyR01AI108490 · NIAID · UNIVERSITY OF WASHINGTON · PI GOODREAU, STEVEN M., HERBECK, JOSHUA T · 2014 to 2018
$3.4M
Statistical Methods for Network EpidemiologyR01HD068395 · NICHD · UNIVERSITY OF WASHINGTON · PI MORRIS, WANDA MARTINA · 2011 to 2015
$3.0M
Modeling the Evolutionary and Public Health Impacts of HIV Adaptation in Response to VaccinationR01AI150467 · NIAID · UNIVERSITY OF WASHINGTON · PI MITTLER, JOHN E. · 2019 to 2020
$844k
Using Sexual Network Transmission Models to Explain HIV Disparities Between BlackR21HD075662 · NICHD · UNIVERSITY OF WASHINGTON · PI GOODREAU, STEVEN M. · 2013 to 2014
$418k
NIAID NIH HHS R01 AI108490NIAID NIH HHS R01 AI150467NICHD NIH HHS R01 HD068395NICHD NIH HHS R21 HD075662
6 · The paper itself

Abstract

Pathogen populations can evolve in response to selective pressure from vaccine-induced immune responses. For HIV, models predict that viral adaptation, either via strain replacement or selection on de novo mutation, may rapidly reduce the effectiveness of an HIV vaccine. We hypothesized that behavioral risk compensation after vaccination may accelerate the transmission of vaccine resistant strains, increasing the rate of viral adaptation and leading to a more rapid decline in vaccine effectiveness. To test our hypothesis, we modeled: (a) the impact of risk compensation on rates of HIV adaptation via strain replacement in response to a partially effective vaccine; and (b) the combined impact of risk compensation and viral adaptation on vaccine-mediated epidemic control. We used an agent-based epidemic model that was calibrated to HIV-1 trends in South Africa, and includes demographics, sexual network structure and behavior, and within-host disease dynamics. Our model predicts that risk compensation can increase the rate of HIV viral adaptation in response to a vaccine. In combination, risk compensation and viral adaptation can, under certain scenarios, reverse initial declines in prevalence due to vaccination, and result in HIV prevalence at 15 years equal to or greater than prevalence without a vaccine.

Indexed as

Models, TheoreticalAIDS VaccinesCost-Benefit AnalysisDrug Resistance, ViralHIV-1HIV InfectionsHumansRisk AssessmentVaccinationAIDS Vaccines

Identifiers

PMID33762616
PMCPMC7991033
OpenAlexW3111900470

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.