Evidence map›Paper›PMID 32548130›Full record

ArticleFrontiers in veterinary science2020

Risk Factors for Outbreaks of Lumpy Skin Disease and the Economic Impact in Cattle Farms of Nakuru County, Kenya.

Samuel Kipruto Kiplagat, Philip Mwanzia Kitala, Joshua Orungo Onono, Philippa M Beard, Nicholas A Lyons

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
11.8field-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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 75 citations in OpenAlex.

  1. Pooled it
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  5. Knowledge mapping of risk mitigation measures against vector-borne diseases.EFSA journal. European Food Safety Authority · 2026
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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

5 authors at 3 institutions in 3 countries.

Samuel Kipruto KiplagatDepartment of Public Health, Pharmacology and Toxicology, University of Nairobi, Nairobi, Kenya.
Philip Mwanzia KitalaDepartment of Public Health, Pharmacology and Toxicology, University of Nairobi, Nairobi, Kenya.
Joshua Orungo OnonoDepartment of Public Health, Pharmacology and Toxicology, University of Nairobi, Nairobi, Kenya.
Philippa M BeardThe Pirbright Institute, Pirbright, United Kingdom.
Nicholas A LyonsThe Pirbright Institute, Pirbright, United Kingdom.
University of Nairobi · KERoslin Institute · GBThe Pirbright Institute · GB

Funding

Biotechnology and Biological Sciences Research Council BBS/E/I/00007036
6 · The paper itself

Abstract

Lumpy Skin Disease (LSD) is an emerging disease of cattle that causes substantial economic loss to affected regions. However, factors favouring transmission under field conditions and farm-level impacts are poorly quantified. This was a retrospective case-control study of cattle farms in Nakuru, Kenya to determine risk factors associated with lumpy skin disease and the farm-level economic impacts of an outbreak. Data were collected using questionnaires administered through personal interview. Collected data included herd sizes, age, and sex structures, breeds, sources of replacement stock, grazing systems, and costs (direct and indirect) incurred when LSD outbreaks occurred. Farm-level risk factors were examined through univariable and multivariable logistic regression and a final model built using backward stepwise regression and likelihood ratio tests. The factors associated with LSD outbreaks on univariable analysis included breed (exotic vs. indigenous, OR = 15.01,

Indexed as

case-control studyeconomic impactlumpy skin diseaserisk factorsvaccine

Identifiers

PMID32548130
PMCPMC7274042
OpenAlexW3032501656

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.