  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 relation
to various variables parameterized by adjacency, proximity, population,
population density, poverty rate and poverty density, and we find out that
except for the poverty rate, the spread of the infection is clustered and
associated to those parameters with varying magnitude for the time span between
July (geographic adjacency and proximity) or August (population, population
density and poverty density) through October. We also determine the temporal
dynamics of geographic location of the mean center of new and cumulative
infections since late March. The results obtained allow for regionally and
locally adjusted health policies and measures that would provide higher levels
of public health safety in the country.
