Evidence map›Paper›PMID 29387688›Full record

ArticleFrontiers in veterinary science2018

A Smartphone-Based Application Improves the Accuracy, Completeness, and Timeliness of Cattle Disease Reporting and Surveillance in Ethiopia.

Tariku Jibat Beyene, Fentahun Asfaw, Yitbarek Getachew, Takele Beyene Tufa, Iain Collins, Ashenafi Feyisa Beyi, Crawford W Revie

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Crowdsourced surveillance for neglected tropical diseases, Nigeria.Bulletin of the World Health Organization · 2025
    Article
  4. Review
  5. Review
  6. Article
  7. Training needs assessment of veterinary practitioners in Ethiopia.Tropical animal health and production · 2022
    Article
  8. Article
  9. Bovine mastitis prevention and control in the post-antibiotic era.Tropical animal health and production · 2021
    Review
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.

Tariku Jibat BeyeneCollege of Veterinary Medicine and Agriculture, Addis Ababa University, Bishoftu, Ethiopia.
Fentahun AsfawCollege of Veterinary Medicine and Agriculture, Addis Ababa University, Bishoftu, Ethiopia.
Yitbarek GetachewCollege of Veterinary Medicine and Agriculture, Addis Ababa University, Bishoftu, Ethiopia.
Takele Beyene TufaCollege of Veterinary Medicine and Agriculture, Addis Ababa University, Bishoftu, Ethiopia.
Iain CollinsCojengo Ltd, Glasgow, United Kingdom.
Ashenafi Feyisa BeyiCollege of Veterinary Medicine and Agriculture, Addis Ababa University, Bishoftu, Ethiopia.
Crawford W RevieDepartment of Health Management, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown, PEI, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate disease reporting, ideally in near real time, is a prerequisite to detecting disease outbreaks and implementing appropriate measures for their control. This study compared the performance of the traditional paper-based approach to animal disease reporting in Ethiopia to one using an application running on smartphones. In the traditional approach, the total number of cases for each disease or syndrome was aggregated by animal species and reported to each administrative level at monthly intervals; while in the case of the smartphone application demographic information, a detailed list of presenting signs, in addition to the putative disease diagnosis were immediately available to all administrative levels

Indexed as

cattle diseasedata integritydiagnosissmartphone applicationsurveillance

Identifiers

PMID29387688
PMCPMC5776010

What OpenQuestion holds

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LicenceCC BY
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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.