Evidence map›Paper›PMID 36127558›Full record

ArticleJournal of mathematical biology2022

Randomization for the susceptibility effect of an infectious disease intervention.

Daniel J Eck, Olga Morozova, Forrest W Crawford

Abstract read
In one paragraph

Article in Journal of mathematical biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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

3 authors.

Daniel J EckDepartment of Statistics, University of Illinois Urbana-Champaign, Champaign, USA. dje13@illinois.edu.ORCID 0000-0002-2571-5331
Olga MorozovaDepartment of Public Health Sciences, Biological Sciences Division, The University of Chicago, Chicago, USA.ORCID 0000-0001-7606-8413
Forrest W CrawfordDepartment of Biostatistics, Yale School of Public Health, New Haven, USA.ORCID 0000-0002-0046-0547

Funding

Network-based epidemiology for hidden and hard-to-reach populationsDP2HD091799 · NICHD · YALE UNIVERSITY · PI CRAWFORD, FORREST WRENN · 2016 to 2016
$2.5M
Optimizing Medication-Assisted Therapy for Opioid Dependence in Ukraine: HIV Impact Modeling and Cost-Effectiveness EvaluationR36DA042643 · NIDA · YALE UNIVERSITY · PI MOROZOVA, OLGA · 2016 to 2017
$98k
NICHD NIH HHS DP2 HD091799NIDA NIH HHS R36 DA042643NIH HHS NICHD DP2 HD091799-0NIH HHS NIDA R36 DA042643
6 · The paper itself

Abstract

Randomized trials of infectious disease interventions, such as vaccines, often focus on groups of connected or potentially interacting individuals. When the pathogen of interest is transmissible between study subjects, interference may occur: individual infection outcomes may depend on treatments received by others. Epidemiologists have defined the primary parameter of interest-called the "susceptibility effect"-as a contrast in infection risk under treatment versus no treatment, while holding exposure to infectiousness constant. A related quantity-the "direct effect"-is defined as an unconditional contrast between the infection risk under treatment versus no treatment. The purpose of this paper is to show that under a widely recommended randomization design, the direct effect may fail to recover the sign of the true susceptibility effect of the intervention in a randomized trial when outcomes are contagious. The analytical approach uses structural features of infectious disease transmission to define the susceptibility effect. A new probabilistic coupling argument reveals stochastic dominance relations between potential infection outcomes under different treatment allocations. The results suggest that estimating the direct effect under randomization may provide misleading conclusions about the effect of an intervention-such as a vaccine-when outcomes are contagious. Investigators who estimate the direct effect may wrongly conclude an intervention that protects treated individuals from infection is harmful, or that a harmful treatment is beneficial.

Indexed as

Communicable DiseasesVaccinesHumansRandom AllocationVaccinesContagionDirect effectInterferenceProbabilistic couplingTransmission modelVaccine

Identifiers

PMID36127558
PMCPMC9809173

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.