Tracing the Spread and Phylogeography of Foot-and-Mouth Disease Virus across East and the Horn of Africa

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.

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Publication Details

Journal
Virus Evolution
Published
2025-09-18
DOI
https://doi.org/10.1093/ve/veaf073
Primary Topic
Animal Disease Management and Epidemiology
Type
article
Field-Weighted Citation Impact
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article

Tracing the Spread and Phylogeography of Foot-and-Mouth Disease Virus across East and the Horn of Africa

Kimberly VanderWaal, Dennis N. Makau, Jonathan Arzt
Virus Evolution
Animal Disease Management and Epidemiology
article

Tracing the Spread and Phylogeography of Foot-and-Mouth Disease Virus across East and the Horn of Africa

Kimberly VanderWaal, Dennis N. Makau, Jonathan Arzt
article en

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.

Virus EvolutionVol. 11(1)
University of Nairobi (KE), University of Minnesota (US), Knoxville College (US), Plum Island Animal Disease Center (US), University of Tennessee at Knoxville (US)
Openalex Percentile: Top 66%
Animal Disease Management and Epidemiology
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