Assessing Strategies Against Gambiense Sleeping Sickness Through Mathematical Modeling.

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 bet

SUBMITTER: Rock KS 

PROVIDER: S-EPMC5982708 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature