Geographically weighted regression-based determinants of malaria incidences in northern China

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Geographically weighted regression-based determinants of malaria incidences in northern China

© 2016 John Wiley & Sons Ltd Geographically weighted regression (GWR) is an important local method to explore spatial non-stationarity in data relationships. It has been repeatedly used to examine spatially varying relationships between epidemic diseases and predictors. Malaria, a serious para...

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Bibliographic Details
Main Authors:	Ge, Y., Song, Yongze, Wang, J., Liu, W., Ren, Z., Peng, J., Lu, B.
Format:	Journal Article
Language:	English
Published:	WILEY 2017
Subjects:	Social Sciences Geography geographically weighted regression local determinants examination malaria incidence remote sensing monitoring data spatial analysis models CLIMATE-CHANGE TEMPERATURE MODELS TRANSMISSION ENVIRONMENT ASSOCIATION POPULATION INFECTION HIGHLANDS CHILDREN
Online Access:	http://hdl.handle.net/20.500.11937/77023

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