Big data–model integration and AI for vector‐borne disease prediction

Big data–model integration and AI for vector‐borne disease prediction

Abstract Predicting the drivers of incursion and expansion of vector‐borne diseases as part of early‐warning strategies (EWS) is a major challenge for geographically extensive diseases where spread is mediated by spatial heterogeneity in climate and other environmental drivers. Geospatial data on th...

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Bibliographic Details
Main Authors: Debra P. C. Peters, D. Scott McVey, Emile H. Elias, Angela M. Pelzel‐McCluskey, Justin D. Derner, N. Dylan Burruss, T. Scott Schrader, Jin Yao, Steven J. Pauszek, Jason Lombard, Luis L. Rodriguez
Format: Article
Language:English
Published: Wiley 2020-06-01
Series:Ecosphere
Subjects:
artificial intelligence
continental scale
expert knowledge
insect vectors
livestock
phylogeography
Online Access:https://doi.org/10.1002/ecs2.3157

Internet

https://doi.org/10.1002/ecs2.3157

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