Article

Impacts of disease surveillance frequency on understanding and controlling Rift Valley fever virus

2025-08-12

Abstract excerpt

Effective livestock disease surveillance faces numerous socio-economic and disease-specific challenges, particularly within resource-limited settings. Rift Valley fever (RVF), a zoonotic vector-borne disease which is of growing threat to human and veterinary health, exemplifies these challenges, consequently leading to irregular or infrequent surveillance. While mathematical models frequently utilise these surveil...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 5f799431-7dff-5a66-8d94-64d0f9be2596
DOI: 10.1101/2025.08.11.669600

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Impacts of disease surveillance frequency on understanding and controlling Rift Valley fever virusDOI 10.1101/2025.08.11.669600Read

Using serosurveys to optimize surveillance for zoonotic pathogensSemantic proximity Read

Mapping the risk of Rift Valley fever in Uganda using national seroprevalence data from cattle, sheep and goatsSemantic proximity Read

Mechanistic models of Rift Valley fever virus transmission dynamics: A systematic reviewSemantic proximity Read

Modelling the effectiveness of targeting Rift Valley fever virus vaccination using imperfect network informationSemantic proximity Read

Heterogeneity of Rift Valley fever virus transmission potential across livestock hosts, quantified through a model-based analysis of host viral load and vector infectionSemantic proximity Read

Transmission dynamics and vaccination strategies for Crimean-Congo haemorrhagic fever virus in Afghanistan: a modelling studySemantic proximity Read

From patterns to predictions: A framework for the spatial epidemiology of wildlife diseasesSemantic proximity Read

Epidemiological and molecular characterization of Rift Valley fever outbreak in livestock in Burundi, May - November 2022.Semantic proximity Read

Individual-Based Network Model for Rift Valley Fever in Kabale District, Uganda, to Guide Mitigation Measures: A One Health ModelSemantic proximity Read

Spatial and temporal analysis of Rift Valley Fever outbreaks in livestock in Uganda:A retrospective study from 2013 to 2022Semantic proximity Read

Environmental limits of Rift Valley fever revealed using ecoepidemiological mechanistic modelsSemantic proximity Read

Challenges in the case-based surveillance of infectious diseasesSemantic proximity Read