Evidence map›Paper›PMID 39927224›Full record

ReviewClinical and experimental vaccine research2025

A cross-stack methodology for developing an intelligent vaccination reminder system for children.

Iyyanar Perumal, Nandhini Ponnusamy, Annie Micheal A, Nancy Lima Christy S, Sreekrishna Muthukumaravel, Naveenkumar Anbalagan

Abstract readReview
In one paragraph

Review in Clinical and experimental vaccine research, 2025. 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

6 authors.

Iyyanar PerumalDepartment of IT, Sona College of Technology, Salem, Tamil Nadu, India.ORCID https://orcid.org/0000-0001-7611-4600
Nandhini PonnusamyDepartment of CSE, Sri Shanmugha College of Engineering and Technology, Tamil Nadu, India.ORCID https://orcid.org/0009-0007-7025-3897
Annie Micheal ADepartment of CSE, Sathyabama Institute of Science and Technology, Tamil Nadu, India.ORCID https://orcid.org/0000-0002-1666-0818
Nancy Lima Christy SDepartment of CSE, SRM Institute of Science and Technology, Tamil Nadu, India.ORCID https://orcid.org/0009-0003-2514-7412
Sreekrishna MuthukumaravelDepartment of CSE, Sathyabama Institute of Science and Technology, Tamil Nadu, India.ORCID https://orcid.org/0000-0003-1246-8762
Naveenkumar AnbalaganDepartment of IT, Sona College of Technology, Salem, Tamil Nadu, India.ORCID https://orcid.org/0000-0002-6810-4549

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Smart Vaccination System introduces a vaccine reminder framework that is SMS-based and is intended to help parents ensure that their children's vaccinations are current. Although traditional methods rely on written schedules to organize vaccination appointments, these are frequently insufficient, as busy parents may neglect critical dates. A web-based vaccine reminder application has been created to address this challenge, providing timely notifications when a child's next vaccination is due. This system streamlines the process for parents, enabling them to remain proactive, informed, and organized regarding their child's health. The application ultimately contributes to enhanced public health outcomes by increasing the probability that children will be protected against preventable diseases by reducing missed vaccinations.

Indexed as

MySQLNodejs expressRemainder systemSMSVaccination

Identifiers

PMID39927224
PMCPMC11799585

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.