Evidence map›Paper›PMID 40400717›Full record

ArticleTransboundary and emerging diseases2025

Network Analysis of Small Ruminant Movements in Uganda: Implications for Control of Transboundary Animal Diseases.

Joseph Nkamwesiga, Karla Rascón-García, Paul Lumu, Henry Kiara, Andres Perez, Dennis Muhanguzi, Kristina Roesel

Abstract read
In one paragraph

Article in Transboundary and emerging diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Joseph NkamwesigaDepartment of Veterinary Medicine, Institute of Virology, Freie Universität Berlin, Berlin, Germany.ORCID https://orcid.org/0000-0001-6524-1241
Karla Rascón-GarcíaCenter for Animal Disease Modeling and Surveillance, Department of Medicine and Epidemiology, School of Veterinary Medicine, University of California, Davis, California, USA.ORCID https://orcid.org/0000-0003-0879-141X
Paul LumuDepartment of Animal Health, Ministry of Agriculture, Animal Industry and Fisheries, Entebbe, Uganda.
Henry KiaraHealth Program, International Livestock Research Institute, Nairobi, Kenya.ORCID https://orcid.org/0000-0001-9578-1636
Andres PerezDepartment of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, St. Paul, Minnesota, USA.ORCID https://orcid.org/0000-0003-2592-4931
Dennis MuhanguziDepartment of Biomedical Laboratory Technology and Molecular Biology, College of Veterinary Medicine, Animal Resources and Biosecurity, Makerere University, Kampala, Uganda.ORCID https://orcid.org/0000-0001-5458-8530
Kristina RoeselHealth Program, International Livestock Research Institute, Nairobi, Kenya.ORCID https://orcid.org/0000-0002-2553-1129

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Domestic animals are moved for reasons that are mutually beneficial to the animal and the farmer. Some examples include the need for fresh grazing grounds and watering points, or the need to access livestock markets for income to sustain farmers' livelihoods. However, livestock mobility is a key risk factor for the transmission of transboundary animal diseases. Contact tracing of individual animals and flocks is very challenging, especially in most low-income countries, due to a lack of efficient livestock traceability systems. Despite these challenges, low-income countries, such as Uganda, issue paper-based animal movement permits (AMPs) to ensure only clinically healthy animals are moved following a physical inspection. In this study, we used national approximately 9 years of (2012-2020) small ruminant movement data obtained from archived AMPs in Uganda to describe small ruminant movement networks. The movement networks were described using social network analysis (SNA) approaches implemented in R software to identify and visualize relationships between individual and groups districts in Uganda. Lira, Kaberamaido, Nabilatuk, Mbarara, Kiruhura, Kampala, and Wakiso were identified as districts with the highest degree (in and out-degree) and betweenness among other centrality measures. Our results suggest these districts could be the most important bridges connecting the various regions of the country. Tailoring control interventions to such districts with high incoming and high outgoing shipments, or bridges, would accelerate the nation's ability to timely detect outbreaks, prevent or mitigate further spread, and contain diseases in their original foci, respectively. We also identified areas for active surveillance, vaccination, quarantine, and biosecurity measures-staging depending on prevailing circumstances. These findings will be used to guide the national small ruminant infectious diseases control strategies and subsequently contribute to national and global initiatives, such as the 2030 Peste des petits ruminants (PPR) eradication program.

Indexed as

RuminantsAnimal HusbandryAnimalsGoatsSheepSheep DiseasesTransportationUgandagoats and sheeplivestock mobilitytargeted control interventions

Identifiers

PMID40400717
PMCPMC12094867

What OpenQuestion holds

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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.