Spatial autocorrelation and the dynamics of the mean center of COVID-19 infections in Lebanon

In this paper we study the spatial spread of the COVID-19 infection in Lebanon. We inspect the spreading of the daily new infections across the 26 administrative districts of the country, and implement Moran's \(I\) statistics in order to analyze the tempo-spatial clustering of the infection in...

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Veröffentlicht in:	arXiv.org 2020-11
1. Verfasser:	Deeb, Omar El
Format:	Artikel
Sprache:	eng
Schlagworte:	Clustering Coronaviruses COVID-19 Disease transmission Geographical locations Infections Population density Poverty Public health Quantitative Biology - Populations and Evolution
Online-Zugang:	Volltext
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