论文标题
空间自相关和黎巴嫩Covid-19的平均中心的动态
Spatial autocorrelation and the dynamics of the mean center of COVID-19 infections in Lebanon
论文作者
论文摘要
在本文中，我们研究了Covid-19在黎巴嫩感染的空间传播。我们检查了每日新的感染在该国26个行政区之间的传播，并实施了Moran的$ i $统计数据，以分析感染的温度空间聚类相对于通过邻接，接近性，人口，人口，人口密度，贫困率和诗意相关的各种变量的各种变量，除了这些变量的参数相关，以及这些变量的范围，以及相关的诗句，散布了诗句，群体群体群体群体群体群体群体群体群体七月（地理邻接和接近度）或八月（人口密度和贫困密度）之间的时间跨度有不同的参数。我们还确定自3月下旬以来，新的和累积感染的平均中心的地理位置的时间动态。获得的结果允许在当地和本地调整的健康政策和措施中提供更高水平的公共卫生安全。
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.
