Spatiotemporally weighted regression (STWR) for assessing Lyme disease and landscape fragmentation dynamics in Connecticut towns

Spatiotemporally weighted regression (STWR) for assessing Lyme disease and landscape fragmentation dynamics in Connecticut towns

Understanding the landscape determinants that escalate Lyme disease (LD) risk through various times and regions is vital for appraising disease susceptibility and shaping precise intervention and prevention strategies. This research introduces a novel data-driven framework to identify potential indi...

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Bibliographic Details
Main Authors: Zhe Wang, Xiang Que, Meifang Li, Zhuoming Liu, Xun Shi, Xiaogang Ma, Chao Fan, Yan Lin
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Ecological Informatics
Subjects:
Data-driven knowledge discovery
Lyme disease
Spatiotemporally weighted regression (STWR)
Landscape fragmentation
Online Access:http://www.sciencedirect.com/science/article/pii/S1574954124004126
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http://www.sciencedirect.com/science/article/pii/S1574954124004126

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