Evidence map›Paper›PMID 34273244›Full record

ArticleVeterinary medicine and science2021

Seroprevalence of bovine foot and mouth disease (FMD) and its associated risk factors in selected districts of Afar region, Ethiopia.

Teshager Dubie, Wossene Negash

Abstract read
In one paragraph

Article in Veterinary medicine and science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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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

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

  1. Pooled it
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  7. Determinants of Foot and Mouth Virus in Eastern Algeria.Tropical animal health and production · 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

2 authors.

Teshager DubieCollege of Veterinary Medicine, Samara University, Samara, Ethiopia.ORCID 0000-0001-7026-6267
Wossene NegashCollege of Veterinary Medicine, Samara University, Samara, Ethiopia.ORCID 0000-0002-2048-9427

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA cross-sectional study was conducted from November 2018 to May 2019 to estimate seroprevalence of foot and mouth disease virus for cattle and assess associated risk factors in selected districts of afar region. Simple random sampling technique was employed to select the study areas. A total of 384 bovine sera were collected from 72 herds and seroprevalence of the disease was determined using 3ABC-ELISA technique. Data were recorded and coded using Microsoft Excel spread sheet and analysed using STATA. Potential risk factors of the disease were also assessed using logistic regression analysis.

resultsOut of 384 sera tested at National Veterinary Institute, the overall seroprevalence of foot and mouth disease (FMD) virus was 19.8% (n = 76; 95% CI = 15.8-23.79) at animal level and 56.94% at herd level. The herd level seroprevalence was higher in animals tested from Dubti (85%, n = 17) than Asayita (48.13%, n = 13) and Chifra (44%, n = 11). Among the associated risk factors, age, herd size, district and contact with wild life were statistically associated with foot and mouth disease serostatus (p < 0.05). Medium and large herd size animals were 2.49 (95% CI: 1.33-6.63) and 6.05 (95% CI: 2.54-14.43) times more likely to develop the disease as compared to animals from small herd size, respectively.

conclusionsThe current study finding revealed that FMD was more prevalent and economically significant disease in the study districts. Hence, further studies ought to be conducted to estimate the region wise serostatus magnitude of the disease, to assess its economic impact and to identify the circulating serotypes and strains in the areas.

Indexed as

Cattle DiseasesFoot-and-Mouth DiseaseAnimalsCattleCross-Sectional StudiesEthiopiaRisk FactorsSeroepidemiologic Studies3ABC-ELISAAfarBovineFMDRisk factorSeroprevalence

Identifiers

PMID34273244
PMCPMC8464255

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LicenceCC BY-NC
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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.