Evidence map›Paper›PMID 42180635›Full record

ArticleFrontiers in health services2026

Operational intelligence for immunization recovery: mapping system shocks and capacity to zero-dose debt and outbreak risk.

S Ramakrishnan, U Vignesh, R Parvathi

Abstract read
In one paragraph

Article in Frontiers in health services, 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

3 authors.

S RamakrishnanSchool of Computer Science Engineering (SCOPE), Vellore Institute of Technology, Chennai, India.
U VigneshSchool of Computer Science Engineering (SCOPE), Vellore Institute of Technology, Chennai, India.
R ParvathiSchool of Computer Science Engineering (SCOPE), Vellore Institute of Technology, Chennai, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immunization services continue to face uneven recovery following the COVID-19 shock, leaving zero-dose children unreached and elevating the risk of measles in many settings. We analyzed a multicountry observational panel spanning 2019-2024 to generate operational intelligence for immunization recovery. Using routinely available indicators, we developed measures of service disruption (including conflict exposure, displacement pressure, and price instability) and indicators of system capacity (governance effectiveness and health financing) and then summarized coverage gaps relative to prepandemic baselines as recovery debt. We identified service delivery archetypes using unsupervised clustering, with stability and interpretability checks, and then assessed whether archetype membership and recovery debt were associated with reported measles activity using negative binomial models with population offsets, regional fixed effects, and clustered standard errors. Four robust archetypes emerged, each characterized by distinct driver profiles and equity gradients. Two of these archetypes accounted for the majority of recovery debt and were associated with substantially higher measles incidence compared to the lowest-risk reference group, with patterns remaining robust across prespecified sensitivity analyses. Countries transitioning toward lower-risk archetypes over time exhibited improvements in predicted measles activity. These findings provide a health services typology that links routinely available indicators to immunization service risk, enabling managers to target high-leverage recovery actions, prioritize catch-up delivery, and monitor service improvements alongside surveillance indicators.

Indexed as

capacity constraintshealth policyhealth systems resilienceimmunization servicesmeasles riskservice delivery archetypeszero-dose children

Identifiers

PMID42180635
PMCPMC13190393

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.