Evidence map›Paper›PMID 40384944›Full record

ArticleAnnual review of statistics and its application2025

Designs for Vaccine Studies.

M Elizabeth Halloran

Abstract read
In one paragraph

Article in Annual review of statistics and its application, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

M Elizabeth HalloranVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA.

Funding

Causal Inference in Infectious Disease Prevention StudiesR01AI085073 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HUDGENS, MICHAEL G · 2010 to 2024
$4.5M
Causal Inference in Infectious Disease Prevention StudiesR37AI085073 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Michael G Hudgens · 2026 to 2026
$394k
NIAID NIH HHS R01 AI085073NIAID NIH HHS R37 AI085073
6 · The paper itself

Abstract

Due to dependent happenings, vaccines can have different effects in populations. In addition to direct protective effects in the vaccinated, vaccination in a population can have indirect effects in the unvaccinated individuals. Vaccination can also reduce person-to-person transmission to vaccinated individuals or from vaccinated individuals compared with unvaccinated individuals. Design of vaccine studies has a history extending back over a century. Emerging infectious diseases, such as the SARS-CoV-2 pandemic and the Ebola outbreak in West Africa, have stimulated new interest in vaccine studies. We focus on some recent developments, such as target trial emulation, test-negative design, and regression discontinuity design. Methods for evaluating durability of vaccine effects were developed in the context of both blinded and unblinded placebo crossover studies. The case-ascertained design is used to assess the transmission effects of vaccines. The novel ring vaccination trial design was first used in the Ebola outbreak in West Africa.

Indexed as

causal inferencecluster-randomized trialimmune correlatesobservational studyregression discontinuity designring vaccinationtarget trial emulationtest-negative designvaccines

Identifiers

PMID40384944
PMCPMC12083782

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.