ArticleThe Journal of infectious diseases2020
Screening Strategies for a Sustainable Endpoint for Gambiense Sleeping Sickness.
Article in The Journal of infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Modelling timelines to elimination of sleeping sickness in the Democratic Republic of Congo, accounting for possible cryptic human and animal transmission.Parasites & vectors · 2024Article
- Comparison of stochastic and deterministic models for gambiense sleeping sickness at different spatial scales: A health area analysis in the DRC.PLoS computational biology · 2024Article
- 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
- Modelling to infer the role of animals in gambiense human African trypanosomiasis transmission and elimination in the DRC.PLoS neglected tropical diseases · 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
- Update of transmission modelling and projections of gambiense human African trypanosomiasis in the Mandoul focus, Chad.Infectious diseases of poverty · 2022Article
- Modelling the impact of fexinidazole use on human African trypanosomiasis (HAT) transmission in the Democratic Republic of the Congo.PLoS neglected tropical diseases · 2021Article
- ModellingJournal of the Royal Society, Interface · 2021Article
- Modelling to explore the potential impact of asymptomatic human infections on transmission and dynamics of African sleeping sickness.PLoS computational biology · 2021Article
- Modelling to Quantify the Likelihood that Local Elimination of Transmission has Occurred Using Routine Gambiense Human African Trypanosomiasis Surveillance Data.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021Article
- Cost-effectiveness modelling to optimise active screening strategy for gambiense human African trypanosomiasis in endemic areas of the Democratic Republic of Congo.BMC medicine · 2021Article
- Estimating the distribution of time to extinction of infectious diseases in mean-field approaches.Journal of the Royal Society, Interface · 2020Article
- When, Who, and How to Sample: Designing Practical Surveillance for 7 Neglected Tropical Diseases as We Approach Elimination.The Journal of infectious diseases · 2020Article
- Monitoring the elimination of human African trypanosomiasis at continental and country level: Update to 2018.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
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGambiense human African trypanosomiasis ([gHAT] sleeping sickness) is a vector-borne disease that is typically fatal without treatment. Intensified, mainly medical-based, interventions in endemic areas have reduced the occurrence of gHAT to historically low levels. However, persistent regions, primarily in the Democratic Republic of Congo (DRC), remain a challenge to achieving the World Health Organization's goal of global elimination of transmission (EOT).
methodsWe used stochastic models of gHAT transmission fitted to DRC case data and explored patterns of regional reporting and extinction. The time to EOT at a health zone scale (~100 000 people) and how an absence of reported cases informs about EOT was quantified.
resultsRegional epidemiology and level of active screening (AS) both influenced the predicted time to EOT. Different AS cessation criteria had similar expected infection dynamics, and recrudescence of infection was unlikely. However, whether EOT has been achieved when AS ends is critically dependent on the stopping criteria. Two or three consecutive years of no detected cases provided greater confidence of EOT compared with a single year (~66%-75% and ~82%-84% probability of EOT, respectively, compared with 31%-51%).
conclusionsMultiple years of AS without case detections is a valuable measure to assess the likelihood that the EOT target has been met locally.
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