A predictive spatial model to quantify the risk of air-travel-associated dengue importation into the United States and europe.

摘要: The number of travel-acquired dengue infections has been on a constant rise in the United States and Europe over past decade. An increased volume international passenger air traffic originating from regions with endemic contributes to increasing cases. This paper reports results network-based regression model which uses travel volumes, distances, predictive species distribution models (for vector species), infection data quantify relative risk importing into US dengue-endemic regions. Given necessary data, this can be used identify optimal locations (origin cities, destination airports, etc.) for surveillance. extended other geographical vector-borne diseases, as well processes.