Evidence map›Paper›PMID 41630128›Full record

SynthesisHuman vaccines & immunotherapeutics2026

No fault vaccine injury compensation after COVID-19: A systematic literature review and proposed typology.

Sam Halabi, Nishtha Arora, Alison Durran, Qianhan Qian, Shabna Ummer, Katherine Ginsbach, Kashish Aneja

Abstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Human vaccines & immunotherapeutics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Sam HalabiCenter for Transformational Health Law, O'Neill Institute, Georgetown University, Washington, DC, USA.ORCID 0000-0002-4603-8480
Nishtha AroraCenter for Transformational Health Law, O'Neill Institute, Georgetown University, Washington, DC, USA.
Alison DurranCenter for an Informed Public, University of Washington, Seattle, WA, USA.
Qianhan QianCenter for Transformational Health Law, O'Neill Institute, Georgetown University, Washington, DC, USA.
Shabna UmmerCenter for Transformational Health Law, O'Neill Institute, Georgetown University, Washington, DC, USA.
Katherine GinsbachCenter for Transformational Health Law, O'Neill Institute, Georgetown University, Washington, DC, USA.
Kashish AnejaCenter for Transformational Health Law, O'Neill Institute, Georgetown University, Washington, DC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic brought about a unique and rapid period of global vaccine innovation. It revealed structural challenges not only in global vaccine affordability and distribution but in the liability and indemnity structures that can both impede access and affect fair outcomes for the small number of people who suffer severe side effects. This review examines vaccine injury and compensation mechanisms, including no-fault compensation schemes, aimed at addressing both the liability and indemnity concerns of developers and the compensation due those suffering severe side effects. The ultimate aim of the review is to provide a classification of systems for those countries that are considering adopting NFCS as part of their broader public health readiness and preparedness strategies.

Indexed as

Compensation and RedressCOVID-19COVID-19 VaccinesLiability, LegalHumansSARS-CoV-2COVID-19 VaccinesCOVID-19GAVI COVAX AMCglobal health governanceliabilityno-fault compensation schemes (NFCS)vaccine indemnityvaccine injuryvaccine innovation

Identifiers

PMID41630128
PMCPMC12885411

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.