ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2018
Assessing Strategies Against Gambiense Sleeping Sickness Through Mathematical Modeling.
Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Transmission and cost-effectiveness modelling to estimate the progress towards elimination and future strategy optimisation for gambiense human African trypanosomiasis in Uganda.BMC infectious diseases · 2026Article
- Control of Human African Trypanosomiasis in the Nola-Bilolo Focus, Central African Republic, 2020-2024: Outcome of Capacity Building, Improved Diagnosis and Treatment.Journal of parasitology research · 2026Article
- Health economic evaluation of strategies to eliminate gambiense human African trypanosomiasis in the Mandoul disease focus of Chad.PLoS neglected tropical diseases · 2023Article
- Does a One Health approach to human African trypanosomiasis control hasten elimination? A stochastic compartmental modeling approach.Acta tropica · 2023Article
- Deep kinetoplast genome analyses result in a novel molecular assay for detectingNAR genomics and bioinformatics · 2022Article
- Identifying regions for enhanced control of gambiense sleeping sickness in the Democratic Republic of Congo.Nature communications · 2022Article
- Cost-effectiveness of sleeping sickness elimination campaigns in five settings of the Democratic Republic of Congo.Nature communications · 2022Article
- Modelling to explore the potential impact of asymptomatic human infections on transmission and dynamics of African sleeping sickness.PLoS computational biology · 2021Article
- Use of vector control to protect people from sleeping sickness in the focus of Bonon (Côte d'Ivoire).PLoS neglected tropical diseases · 2021Article
- 28 Models Later: Model Competition and the Zombie Apocalypse.Bulletin of mathematical biology · 2021Article
- Quantifying epidemiological drivers of gambiense human African Trypanosomiasis across the Democratic Republic of Congo.PLoS computational biology · 2021Article
- How modelling can help steer the course set by the World Health Organization 2021-2030 roadmap on neglected tropical diseases.Gates open research · 2021Article
- Repurposing the orphan drug nitisinone to control the transmission of African trypanosomiasis.PLoS biology · 2021Article
- Estimating the distribution of time to extinction of infectious diseases in mean-field approaches.Journal of the Royal Society, Interface · 2020Article
- Delivering 'tiny targets' in a remote region of southern Chad: a cost analysis of tsetse control in the Mandoul sleeping sickness focus.Parasites & vectors · 2020Article
- Screening Strategies for a Sustainable Endpoint for Gambiense Sleeping Sickness.The Journal of infectious diseases · 2020Article
- Early warning signals of malaria resurgence in Kericho, Kenya.Biology letters · 2020Article
- Assessing the impact of aggregating disease stage data in model predictions of human African trypanosomiasis transmission and control activities in Bandundu province (DRC).PLoS neglected tropical diseases · 2020Article
- Insights from quantitative and mathematical modelling on the proposed 2030 goal for gambiense human African trypanosomiasis (gHAT).Gates open research · 2019Article
- Counting Down the 2020 Goals for 9 Neglected Tropical Diseases: What Have We Learned From Quantitative Analysis and Transmission Modeling?Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2018Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
Background: Control of gambiense sleeping sickness relies predominantly on passive and active screening of people, followed by treatment. Methods: Mathematical modeling explores the potential of 3 complementary interventions in high- and low-transmission settings. Results: Intervention strategies that included vector control are predicted to halt transmission most quickly. Targeted active screening, with better and more focused coverage, and enhanced passive surveillance, with improved access to diagnosis and treatment, are both estimated to avert many new infections but, when used alone, are unlikely to halt transmission before 2030 in high-risk settings. Conclusions: There was general model consensus in the ranking of the 3 complementary interventions studied, although with discrepancies between the quantitative predictions due to differing epidemiological assumptions within the models. While these predictions provide generic insights into improving control, the most effective strategy in any situation depends on the specific epidemiology in the region and the associated costs.
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