Article

Hierarchical models for West Nile virus risk mapping in Connecticut, USA

2023-08-30

Abstract excerpt

<h4>Background: </h4> Predicting risk of West Nile virus (WNV) to humans in spaces without mosquito surveillance data is a key limitation of many WNV surveillance programs. To address this knowledge gap, we analyzed 20 years (2001 – 2020) of statewide, point-level mosquito and WNV surveillance data from Connecticut (CT), USA, using boosted regression trees (BRT) and generalized linear models (GLMs) to determine th...

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Literature Corpus work: de714db5-6cf4-51a8-9a73-aba3058badba
DOI: 10.21203/rs.3.rs-3293255/v1

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