ArticlePLoS computational biology2020
Computational models to improve surveillance for cassava brown streak disease and minimize yield loss.
Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 20 citations in OpenAlex.
- Electrochemical lateral flow assay with ELISA-level performance for detecting plant diseases in East Africa.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Optimizing crop varietal mixtures for viral disease management: A case study on cassava virus epidemics.PLoS computational biology · 2025Article
- Machine-learning approach facilitates prediction of whitefly spatiotemporal dynamics in a plant canopy.Journal of economic entomology · 2025Article
- Article
- Developing a predictive model for an emerging epidemic on cassava in sub-Saharan Africa.Scientific reports · 2023Article
- Translating virome analyses to support biosecurity, on-farm management, and crop breeding.Frontiers in plant science · 2023Review
- Viruses of Yams (Viruses · 2022Review
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cassava brown streak disease (CBSD) is a rapidly spreading viral disease that affects a major food security crop in sub-Saharan Africa. Currently, there are several proposed management interventions to minimize loss in infected fields. Field-scale data comparing the effectiveness of these interventions individually and in combination are limited and expensive to collect. Using a stochastic epidemiological model for the spread and management of CBSD in individual fields, we simulate the effectiveness of a range of management interventions. Specifically we compare the removal of diseased plants by roguing, preferential selection of planting material, deployment of virus-free 'clean seed' and pesticide on crop yield and disease status of individual fields with varying levels of whitefly density crops under low and high disease pressure. We examine management interventions for sustainable production of planting material in clean seed systems and how to improve survey protocols to identify the presence of CBSD in a field or quantify the within-field prevalence of CBSD. We also propose guidelines for practical, actionable recommendations for the deployment of management strategies in regions of sub-Saharan Africa under different disease and whitefly pressure.
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Registered trials
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.