a model framework to estimate impact and cost of genetics-based sterile insect methods for dengue vector control框架模型来估计和成本影响的基因无菌昆虫登革热病媒控制的方法.pdfVIP
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a model framework to estimate impact and cost of genetics-based sterile insect methods for dengue vector control框架模型来估计和成本影响的基因无菌昆虫登革热病媒控制的方法
A Model Framework to Estimate Impact and Cost of
Genetics-Based Sterile Insect Methods for Dengue Vector
Control
Nina Alphey1,2*, Luke Alphey2,3, Michael B. Bonsall1
1 Mathematical Ecology Research Group, Department of Zoology, University of Oxford, Oxford, United Kingdom, 2 Oxitec, Limited, Oxford, United Kingdom, 3 Department
of Zoology, University of Oxford, Oxford, United Kingdom
Abstract
Vector-borne diseases impose enormous health and economic burdens and additional methods to control vector
populations are clearly needed. The Sterile Insect Technique (SIT) has been successful against agricultural pests, but is not in
large-scale use for suppressing or eliminating mosquito populations. Genetic RIDL technology (Release of Insects carrying a
Dominant Lethal) is a proposed modification that involves releasing insects that are homozygous for a repressible dominant
lethal genetic construct rather than being sterilized by irradiation, and could potentially overcome some technical
difficulties with the conventional SIT technology. Using the arboviral disease dengue as an example, we combine vector
population dynamics and epidemiological models to explore the effect of a program of RIDL releases on disease
transmission. We use these to derive a preliminary estimate of the potential cost-effectiveness of vector control by applying
estimates of the costs of SIT. We predict that this genetic control strategy could eliminate dengue rapidly from a human
community, and at lower expense (approximately US$ 2,30 per case averted) than the direct and indirect costs of disease
(mean US$ 86–190 per case of dengue). The theoretical framework has wider potential use; by appropriately adapting or
replacing each component of the framework (entomological, epidemiolog
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