The utility of a Bayesian predictive model to forecast neuroinvasive West Nile virus disease in the United States of America, 2022.

ABSTRACT: Arboviruses (arthropod-borne-viruses) are an emerging global health threat that are rapidly spreading as climate change, international business transport, and landscape fragmentation impact local ecologies. Since its initial detection in 1999, West Nile virus has shifted from being a novel to an established arbovirus in the United States of America. Subsequently, more than 25,000 cases of West Nile neuro-invasive disease have been diagnosed, cementing West Nile virus as an arbovirus of public health importance. Given its novelty in the United States of America, high-risk ecologies are largely underdefined making targeted population-level public health interventions challenging. Using the Centers for Disease Control and Prevention ArboNET neuroinvasive West Nile virus data from 2000-2021, t

SUBMITTER: McCarter MSJ 

PROVIDER: S-EPMC10490885 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature