Evidence map›Paper›PMID 42461903›Full record

ArticlePLoS medicine2026

Re-emergence of vaccine-preventable diseases in the post-elimination era.

Chirag K Kumar, Nathan C Lo

Abstract read
In one paragraph

Article in PLoS medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Chirag K KumarDivision of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University, Stanford, California, United States of America.ORCID https://orcid.org/0000-0003-1542-8643
Nathan C LoDivision of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University, Stanford, California, United States of America.ORCID https://orcid.org/0000-0002-5407-2005

Funding

Real-time predictive modeling for public health departments to control infectious diseasesDP2AI170485 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Nathan Lo · 2022 to 2026
$2.3M
NIAID NIH HHS DP2 AI170485
6 · The paper itself

Abstract

Measles and other vaccine-preventable diseases are re-emerging worldwide in locations where they were once eliminated. Targeted policy interventions in the locations at greatest risk may be an effective strategy to curb this public health threat.

Indexed as

Communicable Diseases, EmergingDisease EradicationVaccine-Preventable DiseasesHumansMeasles

Identifiers

PMID42461903
PMCPMC13374903

What Socratic 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 Socratic graph.