Rift Valley fever virus dynamics in a transhumant cattle system in The Gambia

Abstract Rift Valley fever (RVF) is a zoonotic disease of global concern, driven by environmental conditions, vector activity, and livestock mobility. Although RVF has been reported in The Gambia, its epidemiology remains poorly understood. This study developed a compartmental model to study RVF dynamics in the cattle population of the country. The model incorporated seasonally dynamic transmission parameters reflecting transhumant movement and ecological differences between two distinct ecoclimatic regions: the Sahelian area and the Gambia river. Parameterised using serological data linked to household survey data, the model predicted endemic RVF virus (RVFV) circulation within The Gambia, and captured temporal infection trends that closely match empirical data. Weak decay rates of seropositivity were required to match predicted and observed age-seroprevalence. Results indicated sustained RVFV transmission during the dry season in the Gambia river eco-region, with a high risk of seasonal virus introductions to the Sahelian eco-region at the start of the wet season via the returning transhumant cattle. A hypothetical transhumant movement ban reduced the frequency of outbreaks in the Sahelian eco-region but disproportionately increased their magnitude, with no long-term reduction in the number of infectious cattle. Our study highlighted the role of livestock mobility in RVFV epidemiology in The Gambia and the need for targeted control strategies that do not involve bans on transhumance movements. These control measures might include, for example, targeted cattle vaccination or application of topical insecticide treatments.

Authors

Institutions

Publication Details

Journal
eLife
Published
2025-10-03
DOI
https://doi.org/10.7554/elife.107346.1
Primary Topic
Viral Infections and Vectors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Rift Valley fever virus dynamics in a transhumant cattle system in The Gambia

Daniel T. Haydon, Essa Jarra, Divine Ekwem, Sarah Cleaveland
eLife
Viral Infections and Vectors
article

Rift Valley fever virus dynamics in a transhumant cattle system in The Gambia

Daniel T. Haydon, Essa Jarra, Divine Ekwem, Sarah Cleaveland
article en

Abstract

Abstract Rift Valley fever (RVF) is a zoonotic disease of global concern, driven by environmental conditions, vector activity, and livestock mobility. Although RVF has been reported in The Gambia, its epidemiology remains poorly understood. This study developed a compartmental model to study RVF dynamics in the cattle population of the country. The model incorporated seasonally dynamic transmission parameters reflecting transhumant movement and ecological differences between two distinct ecoclimatic regions: the Sahelian area and the Gambia river. Parameterised using serological data linked to household survey data, the model predicted endemic RVF virus (RVFV) circulation within The Gambia, and captured temporal infection trends that closely match empirical data. Weak decay rates of seropositivity were required to match predicted and observed age-seroprevalence. Results indicated sustained RVFV transmission during the dry season in the Gambia river eco-region, with a high risk of seasonal virus introductions to the Sahelian eco-region at the start of the wet season via the returning transhumant cattle. A hypothetical transhumant movement ban reduced the frequency of outbreaks in the Sahelian eco-region but disproportionately increased their magnitude, with no long-term reduction in the number of infectious cattle. Our study highlighted the role of livestock mobility in RVFV epidemiology in The Gambia and the need for targeted control strategies that do not involve bans on transhumance movements. These control measures might include, for example, targeted cattle vaccination or application of topical insecticide treatments.

eLife
Ministry of Livestock and Fisheries (TZ), Ministry of Agriculture and Livestock (ZM), University of Glasgow (GB)
Openalex Percentile: Top 67%
Viral Infections and Vectors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Rift Valley fever virus dynamics in a transhumant cattle system in The Gambia — Daniel T. Haydon, Essa Jarra, et al. · eLife (2025) | TGRS Research Map | TGRS