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Integrating Environmental Monitoring and Mosquito Surveillance to Predict Vector-borne Disease: Prospective Forecasts of a West Nile Virus Outbreak
Author(s) -
Justin K. Davis,
Geoffrey P. Vincent,
Michael B. Hildreth,
Lon Kightlinger,
Christopher Carlson,
Michael C. Wimberly
Publication year - 2017
Publication title -
plos currents
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.282
H-Index - 49
ISSN - 2157-3999
DOI - 10.1371/currents.outbreaks.90e80717c4e67e1a830f17feeaaf85de
Subject(s) - outbreak , west nile virus , logistic regression , geography , virology , biology , statistics , virus , mathematics
Predicting the timing and locations of future mosquito-borne disease outbreaks has the potential to improve the targeting of mosquito control and disease prevention efforts. Here, we present and evaluate prospective forecasts made prior to and during the 2016 West Nile virus (WNV) season in South Dakota, a hotspot for human WNV transmission in the United States.

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