Barely Significant
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Spatial clustering behaviour of Covid-19 conditioned by the development level: Case study for the administrative units in Romania.

Spat Stat · 2022 · PMC8662404 · PMID 34909371

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a decreasing trendno p-value reported
3 ) for the rate of Covid-19 infections, an increase in the overall tendency of spatial dependence was observed in the second half of March, followed by a decreasing trend by the end of the study period.

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highly significantno p-value reported
Our data is characterized by a low spatial data aggregation level which leads to high heterogeneity that needs treatment, as emphasized by the highly significant heteroskedasticity tests Therefore, we estimate and present the results of the spatially weighted two-stage least squares (HET) estimations (GMM method for spatial lag and error model with heteroskedasticity — ( Anselin, 2011 ), Eq.

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