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Table 2 Fourteen-days cumulative incidence dataframe used as input for the SOM

From: Spatiotemporal evolution of COVID-19 in Portugal’s Mainland with self-organizing maps

 

\(d = 1\)

\(d = j\)

\(d=326\)

\(n = 1\)

14-days cumulative incidence rate per 100,000

\((n = 1, d = 1)\)

14-days cumulative incidence rate per 100,000

\((n = i, d = j)\)

14-days cumulative incidence rate per 100,000

\((n = 1, d = 326)\)

\(n = i\)

14-days cumulative incidence rate per 100,000

\((n = i, d =1)\)

14-days cumulative incidence rate per 100,000

\((n = i, d = j)\)

14-days cumulative incidence rate per 100,000

\((n = i, d = 326)\)

\(n =278\)

14-days cumulative incidence rate per 100,000

\((n = 278, d =1)\)

14-days cumulative incidence rate per 100,000

\((n = i, d = j)\)

14-days cumulative incidence rate per 100,000

\((n = 278, d = 326)\)