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Quantifying the Regional Disproportionality of COVID-19 Spread: Modeling Study

Quantifying the Regional Disproportionality of COVID-19 Spread: Modeling Study

This finding aligns with previous research by Ikeda, Sasaki, and Nakano [7]. The following examples provide interesting insights; when the Theil index value was high and the number of confirmed cases was low (d=60, 550, etc), it indicated that the infectious disease was localized and beginning to spread to various regions.

Kenji Sasaki, Yoichi Ikeda, Takashi Nakano

JMIR Form Res 2025;9:e59230