Predicting dengue incidence leveraging internet-based data sources. A case study in 20 cities in Brazil.

ABSTRACT: The dengue virus affects millions of people every year worldwide, causing large epidemic outbreaks that disrupt people's lives and severely strain healthcare systems. In the absence of a reliable vaccine against dengue or an effective treatment to manage the illness in humans, most efforts to combat dengue infections have focused on preventing its vectors, mainly the Aedes aegypti mosquito, from flourishing across the world. These mosquito-control strategies need reliable disease activity surveillance systems to be deployed. Despite significant efforts to estimate dengue incidence using a variety of data sources and methods, little work has been done to understand the relative contribution of the different data sources to improved prediction. Additionally, scholarship on the topic had init

SUBMITTER: Koplewitz G 

PROVIDER: S-EPMC8824328 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature