Evidence map›Paper›PMID 40547767›Full record

ArticleJournal of family medicine and primary care2025

Non coverage of Hepatitis B immunization among children and its predictors in northeastern states of India: A multiscale geographically weighted regression analysis.

Shefali Gupta, Kh Jitenkumar Singh, Krishna Kumar, Md Asif Khan, Roopmala Gupta, Saurabh Sharma

Abstract read
In one paragraph

Article in Journal of family medicine and primary care, 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

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Preventive strategies for chronic liver disease: A critical review of awareness, vaccine and screening programmes.Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology · 2026
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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.

Shefali GuptaICMR-National Institute for Research in Digital Health and Data Science, New Delhi, India.
Kh Jitenkumar SinghData Centre, Indian Council of Medical Research, New Delhi, India.
Krishna KumarICMR-National Institute for Research in Digital Health and Data Science, New Delhi, India.
Md Asif KhanDescriptive Research Division, Indian Council of Medical Research, New Delhi, India.
Roopmala GuptaIndian Council of Medical Research, New Delhi, India.
Saurabh SharmaDivision of Delivery Research, Indian Council of Medical Research, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hepatitis B, a viral infection, is a vaccine-preventable disease and is a significant public health challenge globally. Child immunization is a safe and effective way to prevent Hepatitis B virus infection. The Universal Immunization Programme (UIP) of India, which effectively reduces the chronic burden, aims to reach immunization of nearly 2.67 crore newborns annually. Under this program, the Hepatitis B vaccine was introduced in 2007-2008. This study aims to assess the level and trend and identify spatial hotspots of noncoverage of Hepatitis B immunization and its predictors in northeastern states of India. Methods: This study used cross-sectional survey data from the National Family Health Survey-5 (2019-21) of 6380 children aged 12-23 months in northeastern states. We used Moran's Results: Spatial hotspot analysis results showed that noncoverage of Hepatitis B immunization was found in most of the districts in Nagaland, Manipur, Eastern and Central regions in Meghalaya, Cachar valley districts and the lower part in Assam, and a few districts in Arunachal Pradesh. Besides, MGWR results indicated that the proportion of the poorest wealth index, children of higher birth order, mothers with no media exposure, and those seeking care from private healthcare facilities were significant predictors for noncoverage of Hepatitis B immunization. Conclusion: Noncoverage of Hepatitis B immunization highlighted the clustered levels in northeastern states of India. This study provides valuable insights for policymakers and stakeholders in designing community-specific interventions, formulating policies, and conducting epidemiological research.

Indexed as

Hepatitis Bhotspotimmunizationspatial analysisvaccine-preventable diseases

Identifiers

PMID40547767
PMCPMC12178511

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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.