Evidence map›Paper›PMID 29885021›Full record

SynthesisTransboundary and emerging diseases2018

Prevalence of Bovine Tuberculosis in India: A systematic review and meta-analysis.

Sreenidhi Srinivasan, Laurel Easterling, Bipin Rimal, Xiaoyue Maggie Niu, Andrew J K Conlan, Patrick Dudas, Vivek Kapur

Open access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Transboundary and emerging diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 5 pooled it
12.4field-weighted citation impact, top 1% 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

55 citing papers in PubMed, 5 syntheses or guidelines pooled it, 93 citations in OpenAlex.

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  14. First report of whole genome sequence of a Mycobacterium bovis (3/86Rv) strain isolated from a cow in India.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
    Article
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  19. Emergence ofFrontiers in public health · 2025
    Review
  20. Recovery ofOpen forum infectious diseases · 2025
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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

7 authors at 2 institutions in 2 countries.

Sreenidhi SrinivasanDepartment of Animal Science, The Pennsylvania State University, University Park, Pennsylvania, USA.
Laurel EasterlingDepartment of Animal Science, The Pennsylvania State University, University Park, Pennsylvania, USA.ORCID http://orcid.org/0000-0002-1122-0696
Bipin RimalThe Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania, USA.
Xiaoyue Maggie NiuDepartment of Statistics, Eberly College of Science, The Pennsylvania State University, University Park, Pennsylvania, USA.
Andrew J K ConlanDisease Dynamics Unit, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK.
Patrick DudasThe Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania, USA.
Vivek KapurDepartment of Animal Science, The Pennsylvania State University, University Park, Pennsylvania, USA.
Pennsylvania State University · USUniversity of Cambridge · GB

Funding

Computation, Bioinformatics, and Statistics (CBIOS) Training ProgramT32GM102057 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI CHIAROMONTE, FRANCESCA, GIRIRAJAN, SANTHOSH · 2013 to 2022
$2.7M
Bill and Melinda Gates Foundation in partnership with the United Kingdom's Department for International Development OPP1176950NIGMS NIH HHS T32 GM102057
6 · The paper itself

Abstract

Bovine tuberculosis (bTB) is a chronic disease of cattle that impacts productivity and represents a major public health threat. Despite the considerable economic costs and zoonotic risk consequences associated with the disease, accurate estimates of bTB prevalence are lacking in many countries, including India, where national control programmes are not yet implemented and the disease is considered endemic. To address this critical knowledge gap, we performed a systematic review of the literature and a meta-analysis to estimate bTB prevalence in cattle in India and provide a foundation for the future formulation of rational disease control strategies and the accurate assessment of economic and health impact risks. The literature search was performed in accordance with PRISMA guidelines and identified 285 cross-sectional studies on bTB in cattle in India across four electronic databases and handpicked publications. Of these, 44 articles were included, contributing a total of 82,419 cows and buffaloes across 18 states and one union territory in India. Based on a random-effects (RE) meta-regression model, the analysis revealed a pooled prevalence estimate of 7.3% (95% CI: 5.6, 9.5), indicating that there may be an estimated 21.8 million (95% CI: 16.6, 28.4) infected cattle in India-a population greater than the total number of dairy cows in the United States. The analyses further suggest that production system, species, breed, study location, diagnostic technique, sample size and study period are likely moderators of bTB prevalence in India and need to be considered when developing future disease surveillance and control programmes. Taken together with the projected increase in intensification of dairy production and the subsequent increase in the likelihood of zoonotic transmission, the results of our study suggest that attempts to eliminate tuberculosis from humans will require simultaneous consideration of bTB control in cattle population in countries such as India.

Indexed as

AnimalsBreedingBuffaloesCattleCross-Sectional StudiesFemaleHumansIndiaPrevalencePublic HealthTuberculosis, Bovinebovine tuberculosisbuffaloescattlecontrol programcowsIndiameta-analysisprevalencereview

Identifiers

PMID29885021
PMCPMC6282864
OpenAlexW2897511250

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.