Evidence map›Paper›PMID 41817886›Full record

ArticleTropical animal health and production2026

Post-vaccination seroconversion and lineage-level molecular characterization of classical swine fever virus in five northeastern states of India.

Sharanagouda S Patil, Vijay Muruganantham, Manjunatha Jogaiah, Akshata Velankar, Mouna Venkataramappa, Neha Naik, Kuralayanapalya Puttahonnappa Suresh, Jagadish Hiremath, Shivasharanappa Nayakavadi, Sujit Nayak and 3 more

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Article in Tropical animal health and production, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

13 authors.

Sharanagouda S PatilICAR-National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Yelahanka, Bengaluru, 560 119, India. sharanspin13@gmail.com.ORCID http://orcid.org/0000-0003-2018-1227
Vijay MurugananthamICAR-National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Yelahanka, Bengaluru, 560 119, India.ORCID http://orcid.org/0009-0001-3493-4800
Manjunatha JogaiahICAR-National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Yelahanka, Bengaluru, 560 119, India.ORCID http://orcid.org/0009-0003-8272-1943
Akshata VelankarICAR-National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Yelahanka, Bengaluru, 560 119, India.ORCID http://orcid.org/0009-0004-7322-9305
Mouna VenkataramappaICAR-National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Yelahanka, Bengaluru, 560 119, India.ORCID http://orcid.org/0009-0003-9353-3702
Neha NaikICAR-National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Yelahanka, Bengaluru, 560 119, India.ORCID http://orcid.org/0009-0001-7772-466X
Kuralayanapalya Puttahonnappa SureshICAR-National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Yelahanka, Bengaluru, 560 119, India.ORCID http://orcid.org/0000-0002-3005-0522
Jagadish HiremathICAR-National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Yelahanka, Bengaluru, 560 119, India.ORCID http://orcid.org/0000-0002-6606-3771
Shivasharanappa NayakavadiICAR-National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Yelahanka, Bengaluru, 560 119, India.ORCID http://orcid.org/0000-0003-3311-5886
Sujit NayakDepartment of Animal Husbandry and Dairying (DAHD), Krishi Bhawan, New Delhi, 110 001, India.
Anirban GuhaDepartment of Animal Husbandry and Dairying (DAHD), Krishi Bhawan, New Delhi, 110 001, India.
Bibek R ShomeICAR-National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Yelahanka, Bengaluru, 560 119, India.
Baldev Raj GulatiICAR-National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Yelahanka, Bengaluru, 560 119, India.ORCID http://orcid.org/0000-0002-4338-7941

Funding

DAHD K-11053(5313)/21/2019-LH (E-14082)
6 · The paper itself

Abstract

Classical swine fever (CSF) is a highly contagious viral disease of pigs with major economic consequences, necessitating sustained vaccination and surveillance under India’s national control programme. The present study evaluated post-vaccination seroconversion and conducted lineage-level molecular characterization of circulating classical swine fever virus (CSFV) in five northeastern states of India. An Erns-based indirect ELISA was used to assess antibody responses in pig sera collected before and 30 days after vaccination. A marked increase in seropositivity was observed following immunization, indicating successful seroconversion under field conditions. To confirm the ELISA findings, a stratified random subset of 189 post-vaccination serum samples was tested using the virus neutralization test (VNT), which demonstrated the presence of protective neutralizing antibody titers in the majority of samples. In parallel, limited molecular analysis was performed to identify circulating CSFV lineages using partial 5′ untranslated region sequences from representative field samples. Phylogenetic analysis showed clustering of field isolates within CSFV sub-genotype 1.1, distinct from the Hog Cholera Lapinized Virus vaccine strain. Overall, the integration of large-scale serological monitoring with confirmatory neutralization testing provides robust evidence of vaccine-induced immunity, while the molecular findings highlight the continued circulation of endemic CSFV lineages. These results support ongoing vaccination efforts and emphasize the value of combining immunological surveillance with targeted molecular monitoring for CSF control in India.

Indexed as

Classical Swine FeverClassical Swine Fever VirusSeroconversionVaccinationViral VaccinesAnimalsAntibodies, NeutralizingAntibodies, ViralEnzyme-Linked Immunosorbent AssayIndiaNeutralization TestsPhylogenySwineAntibodies, NeutralizingAntibodies, ViralViral VaccinesClassical swine fever virusMolecular surveillanceSeroconversionVaccinationVirus neutralization test

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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.