Evidence map›Paper›PMID 41222581›Full record

ReviewVeterinary medicine and science2025

Advances in Animal Disease Surveillance and Information Systems and Their Role in Disease Control and Prevention: Implications in Ethiopia.

Aweke Engdawork, Haileleul Negussie

Abstract readReview
In one paragraph

Review in Veterinary medicine and science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Aweke EngdaworkEthiopian Biodiversity Institute, Addis Ababa, Ethiopia.ORCID https://orcid.org/0000-0002-0887-2212
Haileleul NegussieCollege of Veterinary Medicine and Agriculture, Addis Ababa University, Bishoftu, Ethiopia.ORCID https://orcid.org/0000-0001-9313-5462

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnimal disease surveillance and information systems enable early disease detection, monitoring of endemic diseases, identification of emerging diseases and timely control of diseases having serious impacts on animal health, public health and international trade. The application of advanced technologies enhances efficient animal disease surveillance and information systems and enables the implementation of appropriate disease control and prevention measures. However, despite being endemic to several animal diseases, there is limited application of advanced technologies in animal disease surveillance and information systems in Ethiopia and most developing countries.

objectivesThis review aims to identify advanced technologies, applications and platforms that can enhance the efficiency of animal disease surveillance and information systems, as well as determine their roles in disease control and prevention, particularly in the context of Ethiopia.

methodsA literature review used Google Scholar, PubMed, Web of Science, ResearchGate, ScienceDirect electronic database search engines and manual searching. Literature was screened based on the PRISMA-P (2020) checklist. In this review, 76 articles relevant to the topic were selected based on the inclusion criteria.

findingsThe current advances in animal disease surveillance and information systems include mobile-based disease surveillance and reporting applications, geographic and remote sensing technologies, advanced disease diagnostics, social media platforms and digital disease surveillance systems. The application of advanced technologies builds rigorous disease surveillance systems and mechanisms of early disease detection and warning, measures the level of disease and allows successful disease control and eradication. In Ethiopia, animal disease surveillance and information systems have recently implemented smartphone-based applications and digital surveillance systems in selected programs to enhance the efficiency of the surveillance and reporting system.

conclusionsAdvanced technologies enable effective animal disease surveillance and information systems, and support successful animal health management and decision-making. Ethiopian animal disease surveillance and information systems are mainly based on conventional methods with limited applications of advanced technologies. Thus, we recommend a special emphasis on the development and application of advanced technologies and the establishment of effective animal disease surveillance and information systems to protect animal health and welfare, promote international trade in animals and animal products and safeguard public health.

Indexed as

Animal DiseasesEpidemiological MonitoringInformation SystemsAnimalsEthiopiaadvanced technologiesanimal diseasescontrol and preventiondisease surveillanceinformation system

Identifiers

PMID41222581
PMCPMC12611276

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.