Evidence map›Paper›PMID 41069416›Full record

ArticleVirus evolution2025

Tracing the spread and phylogeography of foot-and-mouth disease virus across East and the Horn of Africa.

Dennis N Makau, Jonathan Arzt, Kimberly VanderWaal

Abstract read
In one paragraph

Article in Virus evolution, 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.

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2 · The registry

The trial behind it

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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

3 authors.

Dennis N MakauDepartment of Biomedical and Diagnostic Sciences, College of Veterinary Medicine, University of Tennessee, Knoxville, Knoxville, TN 37996, United States.ORCID https://orcid.org/0000-0002-1802-2545
Jonathan ArztForeign Animal Disease Research Unit, U.S. Department of Agriculture-Agricultural Research Service, Plum Island Animal Disease Center, P.O. Box 848, Greenport NY 11944, USA.
Kimberly VanderWaalDepartment of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, United States St. Paul, MN 55108, United States.ORCID https://orcid.org/0000-0002-5764-6430

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Foot-and-mouth disease (FMD), a highly contagious viral infection affecting cloven-hoofed animals, has significant implications for global livestock production and trade. In this study, we aimed to characterize and describe dispersal patterns and factors affecting pool 4 serotypes of FMD viruses (FMDVs) in the East and Horn of Africa. The study area included 12 countries, i.e. Sudan, South Sudan, Eritrea, Djibouti, Ethiopia, Somalia (Horn of Africa) and Kenya, Uganda, Tanzania, Rwanda, Burundi, and Malawi (East Africa); 1423 VP1 sequence data were used (224 serotype A, 593 serotype O, 310 SAT1, and 296 SAT2), obtained from the National Center for Biotechnology Information (NCBI) GenBank database. Using continuous and discrete space phylogeographic models in BEAST, we assessed viral dispersal, population dynamics, direction, and velocity modelled against environmental, human, and livestock demographic and trade data as raster files. We observed a rise in accessible sequences in the last decade, signifying enhanced surveillance and research endeavours but emphasizing the need for rigorous analyses to address biases, ensuring comprehensive data collection for precise phylogeographic inference, and highlighting the importance of genomic surveillance given the geographical imbalance pre-1970. Higher precipitation correlated with increased dispersal velocity for certain serotypes, while elevation influenced the direction of viral spread. Proximity to human and livestock populations, i.e. urbanization and agricultural activities, also influenced spatial transmission dynamics. We identified distinct viral clusters with Kenya and Sudan as major sources for intercountry spread in the East and Northern regions, respectively. Regional collaboration, data sharing, and targeted surveillance, informed by genomic data and environmental factors, can aid in early outbreak detection and management.

Indexed as

East Africafoot-and-mouth diseasegenomic surveillanceHorn of Africaphylogeographyviral dispersal

Identifiers

PMID41069416
PMCPMC12507016

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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.