A Bayesian Hierarchical Model for Estimation of Abundance and Spatial Density of Aedes aegypti.

ABSTRACT: Strategies to minimize dengue transmission commonly rely on vector control, which aims to maintain Ae. aegypti density below a theoretical threshold. Mosquito abundance is traditionally estimated from mark-release-recapture (MRR) experiments, which lack proper analysis regarding accurate vector spatial distribution and population density. Recently proposed strategies to control vector-borne diseases involve replacing the susceptible wild population by genetically modified individuals' refractory to the infection by the pathogen. Accurate measurements of mosquito abundance in time and space are required to optimize the success of such interventions. In this paper, we present a hierarchical probabilistic model for the estimation of population abundance and spatial distribution from typical m

SUBMITTER: Villela DA 

PROVIDER: S-EPMC4408040 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature