Agglomerative Clustering of Enteric Infections and Weather Parameters to Identify Seasonal Outbreaks in Cold Climates

Agglomerative Clustering of Enteric Infections and Weather Parameters to Identify Seasonal Outbreaks in Cold Climates

The utility of agglomerative clustering methods for understanding dynamic systems that do not have a well-defined periodic structure has not yet been explored. We propose using this approach to examine the association between disease and weather parameters, to compliment the traditional harmonic reg...

Full description

Bibliographic Details
Main Authors: Pavel S. Stashevsky, Irina N. Yakovina, Tania M. Alarcon Falconi, Elena N. Naumova
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:International Journal of Environmental Research and Public Health
Subjects:
machine learning
agglomerative clustering
<i>t</i>-SNE method
harmonic regression models
salmonellosis
non-specific enteric infections
seasonality
meteorological parameters
climate change
Online Access:https://www.mdpi.com/1660-4601/16/12/2083

Similar Items

Similar Items