Incorporating Characteristics of Gene Drive Engineered Ae. aegypti as Methods to Reduce Dengue and Zika Virus into the Bayesian Network – Relative Risk Model, Using Ponce, Puerto Rico as a Case Study

S. R. Eikenbary,  WWU Graduate School Collection,  2020.

This study proposes the use of the Bayesian network relative risk model (BN-RRM) to estimate the risk associated with the release of gene drives as vectors to control disease, using Ponce, Puerto Rico as a case study. Bayesian networks are an appropriate risk assessment tool for quantitatively and probabilistically examining complex systems involving multiple stressors acting on multiple endpoints in a wide variety of situations. The emerging field of synthetic biology has the capacity to drastically alter ecological systems with the use of gene drive engineered organisms as a method to alter population dynamics. The purpose of the release of a gene drive organism is for the introduced genetic material to propagate within the wild type population and persist within the environment. There are many proposed gene drive designs and no regulatory framework that quantitatively assess the risk associated with the use of gene drive engineered organisms released to the environment. The risk assessment describes how the gene drive may spread through the populations of wild type mosquitoes and decrease rates of disease. The Bayesian network relative risk model can perform the risk assessment of gene drive engineered Ae. aegypti for vector control and as part of an adaptive management strategy to reduce dengue and Zika transmission. This study illustrates how the BN-RRM can integrate gene drive related information within a risk assessment framework suitable for adaptive management of these novel stressors.

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