A spatial autocorrelation for modelling the spread of coronavirus infections
نویسندگان
چکیده
Spatial autocorrelation methods are used to study spatial disproportions in the socio-economic development of territories. The most common research analysis Moran local indices, global index, Getis-Ord hot spots. In this study, we estimate COVID-19 distribution patterns. As a result identified formed growth poles, epicenters spread infection (St. Petersburg, Sverdlovsk and Nizhny Novgorod regions) only emerging ones. practical application methodological approach allowed us predict further directions coronavirus (Vladimir, Kaluga, Smolensk, Tula, Tver, Yaroslavl, Ryazan Leningrad regions).
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ژورنال
عنوان ژورنال: SHS web of conferences
سال: 2021
ISSN: ['2261-2424', '2416-5182']
DOI: https://doi.org/10.1051/shsconf/202110601001