Evidence map›Paper›PMID 40733614›Full record

ReviewViruses2025

Spatiotemporal Distribution and Risk Factors of African Swine Fever Outbreak Cases in Uganda for the Period 2010-2023.

Eddie M Wampande, Robert Opio, Simon P Angeki, Corrie Brown, Bonto Faburay, Rose O Ademun, Kenneth Ssekatawa, David D South, Charles Waiswa, Peter Waiswa

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Viruses, 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. 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

10 authors.

Eddie M WampandeCollege of Veterinary Medicine, Animal Resources and Biosecurity, Makerere University, Kampala P.O. Box 7062, Uganda.
Robert OpioCollege of Veterinary Medicine, Animal Resources and Biosecurity, Makerere University, Kampala P.O. Box 7062, Uganda.
Simon P AngekiCollege of Veterinary Medicine, Animal Resources and Biosecurity, Makerere University, Kampala P.O. Box 7062, Uganda.
Corrie BrownLifestock International, Athens, GA 30606, USA.ORCID 0000-0002-0332-6159
Bonto FaburayForeign Animal Disease Diagnostic Laboratory, National Veterinary Services Laboratories, National Bio and Agro-Defense Facility, United States Department of Agriculture, Manhattan, KS 66502, USA.
Rose O AdemunMinistry of Agriculture, Animal Industry and Fisheries, Entebbe P.O. Box 102, Uganda.
Kenneth SsekatawaDepartment of Science, Technical and Vocational Education, Makerere University, Kampala P.O. Box 7062, Uganda.
David D SouthUnited States Department of Agriculture, George Washington Carver Center, 5601 Sunnyside Avenue, Beltsville, MD 20705, USA.
Charles WaiswaCollege of Veterinary Medicine, Animal Resources and Biosecurity, Makerere University, Kampala P.O. Box 7062, Uganda.
Peter WaiswaCollege of Veterinary Medicine, Animal Resources and Biosecurity, Makerere University, Kampala P.O. Box 7062, Uganda.

Funding

United States Department of Agriculture (USDA) 7589-24-USDA
6 · The paper itself

Abstract

This paper describes the spatiotemporal distribution and risk factors of African Swine Fever (ASF) in Uganda for the period of 2010 through 2023. The study utilized a comprehensive dataset from monthly reports (2010-2023) from District Veterinary Officers (DVOs), the Ministry of Agriculture, Animal Industry and Fisheries (MAAIF), and the Food and Agriculture Organization, Uganda. Using GPS coordinates, ASF cases were mapped using QGIS to show ASF distribution and spread in Uganda. Moran's I analysis was used to delineate clusters of ASF. A total of 1521 ASF cases were recorded. The data show that cases of ASF were disseminated throughout the country, with more cases of ASF documented in the central region and border districts (hotspots for ASF), and few cases were reported in Acholi, Karamoja, and Lango, Ankole, West Nile, and Kigezi sub-regions. The time series analysis revealed incidences of ASF disease occurring year-round; notable peak cases were observed in some districts, and districts with ≥30,000 pigs reported higher cases of ASF. The Moran's I (≥1) analysis showed that ASF is either aggregated (

Indexed as

African Swine FeverDisease OutbreaksAfrican Swine Fever VirusAnimalsIncidenceRisk FactorsSpatio-Temporal AnalysisSwineUgandaAfrican Swine Fever (ASF)ASF clustersspatiotemporal trendsUganda

Identifiers

PMID40733614
PMCPMC12299507

What Socratic 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 Socratic graph.