作者: Edwin Michael , Manoj Gambhir
DOI: 10.1007/978-1-4419-6064-1_11
关键词: Rational analysis 、 Biology 、 Lymphatic filariasis 、 Intervention (law) 、 Disease 、 Risk analysis (engineering) 、 Population 、 Set (psychology) 、 Control (management) 、 Adaptive management
摘要: The planning and evaluation of parasitic control programmes are complicated by the many interacting population dynamic programmatic factors that determine infection trends under different options. A key need is quantification about status parasite system state at any one given timepoint change brought upon as an intervention program proceeds. Here, we focus on elimination vector-borne disease, lymphatic filariasis, to show how mathematical models transmission can provide a quantitative framework for aiding design monitoring programs their ability support (1) conducting rational analysis definition endpoints aims or objectives, including disease elimination, (2) undertaking strategic aid optimal meet set endemic settings (3) providing performing informed evaluations ongoing programs, formation timely adaptive management strategies correct observed deficiencies in effectiveness. results also highlight use model-based will be critical addressing impacts ecological complexities, heterogeneities uncertainties effective thereby guiding development resolve overcome such real-world complexities. In particular, underscore this approach link between science policy revealing novel tools measures appraise enhance biological controllability eradicability diseases. We conclude emphasizing urgent develop apply flexible frameworks based learning reducing uncertainty using data, phased sequential decision-making address extant developing ecologically resilient strategies, efforts eliminate filariasis other diseases resource-poor communities.