Evidence map›Paper›PMID 23354992›Full record

ArticleTropical animal health and production2013

Herd and individual animal prevalence of bovine brucellosis with associated risk factors on dairy farms in Haryana and Punjab in India.

Puran Chand, Rajesh Chhabra

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Article in Tropical animal health and production, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

2 authors.

Puran ChandCollege Central Laboratory, College of Veterinary Sciences, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar 125 004, India. cpuran@gmail.com
Rajesh Chhabra

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Herd and individual animal prevalence along with associated risk factors of bovine brucellosis was assessed on dairy farms located in 22 districts in Haryana and Punjab of India. Examination of 4,580 female animals of 119 dairy farms by Rose Bengal test and enzyme-linked immunosorbent assay revealed that an overall herd prevalence was 65.54% (78/119) and individual animal prevalence was 26.50 % (1,214/4,580). Herd prevalence in Haryana was 62.79% which was not significantly different (P = 0.4208) from Punjab (72.72%). Individual animal prevalence was 34.15% in Punjab which was significantly higher (P < 0.0001) than Haryana (22.34%). Prevalence of brucellosis on dairy farms was detected in 20 of the 22 districts, of which 12 districts were in Haryana and 8 in Punjab. Risk factors such as species of animals, age of animals, herd size, awareness of dairymen for brucellosis, entry of a purchased animals on the farm, abortion on farm, use of calving pens, type of breeding, and type of farming were analyzed. The study indicated that the odds ratio (OR) was significant with risk factors of species (OR = 1.63; 95 %CI = 1.40-1.90; P < 0.0001), age (OR = 0.22; 95%CI = 0.17-0.29; P < 0.0001), awareness of brucellosis among dairymen (OR = 21.65; 95%CI = 2.63-178.04; P = 0.0042), entry of purchased animal on the farm (OR = 9.16; 95%CI = 2.38-35.18; P = 0.0012), abortion in animals (OR = 5.57; 95%CI = 1.92-16.10; P = 0.0015) and on cow farm (OR = 3.43; 95 %CI = 1.33-8.82; P = 0.0105). While the OR was insignificant (P > 0.05) with risk factors of herd size, use of calving pen on farms, type of breeding and on buffalo and mixed type of farms.

Indexed as

DairyingAnimalsBrucellaBrucellosis, BovineCattleEnzyme-Linked Immunosorbent AssayFemaleGeographyIndiaOdds RatioPrevalenceRisk FactorsRose BengalSeasonsRose Bengal

Identifiers

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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.