Evidence map›Paper›PMID 38543699›Full record

ArticleViruses2024

Post-Vaccination Sero-Monitoring of Peste des Petits Ruminants in Sheep and Goats in Karnataka: Progress towards PPR Eradication in India.

Vinayagamurthy Balamurugan, Rakshit Ojha, Kirubakaran Vinod Kumar, Anand Asha, Suhail Ashraf, Annett Helcita Dsouza, Archana Pal, Prajakta Prashant Bokade, Shakuntala Krishnaiah Harshitha, Ramchandra Deshpande and 10 more

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
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

13 citing papers in PubMed, 8 citations in OpenAlex.

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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

20 authors at 3 institutions in 2 countries.

Vinayagamurthy BalamuruganIndian Council of Agricultural Research, National Institute of Veterinary Epidemiology and Disease Informatics (ICAR-NIVEDI), Yelahanka, Bengaluru 560064, India.ORCID 0000-0001-7821-7427
Rakshit OjhaIndian Council of Agricultural Research, National Institute of Veterinary Epidemiology and Disease Informatics (ICAR-NIVEDI), Yelahanka, Bengaluru 560064, India.ORCID 0000-0003-4419-8314
Kirubakaran Vinod KumarIndian Council of Agricultural Research, National Institute of Veterinary Epidemiology and Disease Informatics (ICAR-NIVEDI), Yelahanka, Bengaluru 560064, India.ORCID 0000-0002-5484-4140
Anand AshaIndian Council of Agricultural Research, National Institute of Veterinary Epidemiology and Disease Informatics (ICAR-NIVEDI), Yelahanka, Bengaluru 560064, India.
Suhail AshrafIndian Council of Agricultural Research, National Institute of Veterinary Epidemiology and Disease Informatics (ICAR-NIVEDI), Yelahanka, Bengaluru 560064, India.ORCID 0000-0002-5851-3832
Annett Helcita DsouzaIndian Council of Agricultural Research, National Institute of Veterinary Epidemiology and Disease Informatics (ICAR-NIVEDI), Yelahanka, Bengaluru 560064, India.
Archana PalIndian Council of Agricultural Research, National Institute of Veterinary Epidemiology and Disease Informatics (ICAR-NIVEDI), Yelahanka, Bengaluru 560064, India.
Prajakta Prashant BokadeIndian Council of Agricultural Research, National Institute of Veterinary Epidemiology and Disease Informatics (ICAR-NIVEDI), Yelahanka, Bengaluru 560064, India.
Shakuntala Krishnaiah HarshithaIndian Council of Agricultural Research, National Institute of Veterinary Epidemiology and Disease Informatics (ICAR-NIVEDI), Yelahanka, Bengaluru 560064, India.
Ramchandra DeshpandeIndian Council of Agricultural Research, National Institute of Veterinary Epidemiology and Disease Informatics (ICAR-NIVEDI), Yelahanka, Bengaluru 560064, India.
Mahadevappa SwathiIndian Council of Agricultural Research, National Institute of Veterinary Epidemiology and Disease Informatics (ICAR-NIVEDI), Yelahanka, Bengaluru 560064, India.
Kuralayanapalya Puttahonnappa SureshIndian Council of Agricultural Research, National Institute of Veterinary Epidemiology and Disease Informatics (ICAR-NIVEDI), Yelahanka, Bengaluru 560064, India.
GurrappaNaidu GovindarajIndian Council of Agricultural Research, National Institute of Veterinary Epidemiology and Disease Informatics (ICAR-NIVEDI), Yelahanka, Bengaluru 560064, India.
Subramanya Prasad HasnadkaCommissionerate of Animal Husbandry and Veterinary Services, Pashupalana Bhavana, Hebbal, Bengaluru 560024, India.
Shanmugam ChandraSekarIndian Council of Agricultural Research, Indian Veterinary Research Institute (IVRI), Mukteswar, Nainital 263138, India.
Divakar HemadriIndian Council of Agricultural Research, National Institute of Veterinary Epidemiology and Disease Informatics (ICAR-NIVEDI), Yelahanka, Bengaluru 560064, India.
Anirban GuhaDepartment of Animal Husbandry & Dairying, Krishi Bhawan, New Delhi 110001, India.ORCID 0000-0002-1368-6131
Njeumi FelixFood and Agriculture Organization of the United Nations (FAO), Viale delle Terme di Caracalla, 00153 Rome, Italy.ORCID 0000-0002-8543-7652
Satya ParidaFood and Agriculture Organization of the United Nations (FAO), Viale delle Terme di Caracalla, 00153 Rome, Italy.ORCID 0000-0001-8253-9461
Baldev Raj GulatiIndian Council of Agricultural Research, National Institute of Veterinary Epidemiology and Disease Informatics (ICAR-NIVEDI), Yelahanka, Bengaluru 560064, India.ORCID 0000-0002-4338-7941
Indian Council of Agricultural Research · INFood and Agriculture Organization of the United Nations · ITAnimal Husbandry & Veterinary · IN

Funding

Department of Animal Husbandry and Dairying (DAHD), Gov of India No. K-11053(5313)/21/2019-LH (E-14082)
6 · The paper itself

Abstract

Peste des petits ruminants (PPR) presents economic challenges in enzootic countries impacting small ruminant productivity. The state of Karnataka, India, implemented a mass vaccination campaign in alignment with the PPR-Global Eradication Programme (GEP) and the National Strategic Plan for PPR eradication. This study was conducted from January to March 2023 to assess seroconversion in post-vaccinated goats and sheep at the epidemiological unit (epi-unit) level, aligning with the World Organisation for Animal Health (WOAH) and the Food and Agriculture Organization (FAO) guidelines in the PPR Global Control and Eradication Strategy (GCES). Before vaccination, 3466 random serum samples were collected from small ruminants of three age groups (6-12 months, 1-2 years, and >2 years) across 116 epi-units, spanning 82 taluks in 28 districts. Post-vaccination sero-monitoring included 1102 serum samples collected from small ruminants of the 6-12-month age group only, across 111 epi-units covering 64 taluks in 23 districts. The PPRV antibody status was determined using an indigenous hemagglutinin (H) protein monoclonal antibody-based competitive ELISA kit. Pre-vaccination, the PPR seropositivity rates were 55%, 62%, and 66% in the age groups of 6-12 months, 1-2 years, and >2 years, respectively, with a 61% PPRV antibody prevalence across all the age groups. Notably, 41% of the epi-units exhibited antibody prevalence rates of ≥70%, indicating a substantial population immunity, possibly attributed to the previous vaccination program in the state since 2011. In contrast, only 17% of the epi-units had below 30% seroprevalence rates, emphasizing the need for intensified vaccination. Statistical analysis of the data revealed significant correlations (

Indexed as

Goat DiseasesPeste-des-Petits-RuminantsPeste-des-petits-ruminants virusSheep DiseasesAnimalsAntibodies, ViralEnzyme-Linked Immunosorbent AssayGoatsIndiaSeroepidemiologic StudiesSheepVaccinationAntibodies, Viralepidemiological unitGCES guidelinesIndiaKarnataka statemass vaccinationpost-vaccination sero-monitoringPPR eradicationvaccine efficacy

Identifiers

PMID38543699
PMCPMC10974862
OpenAlexW4392057625

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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.