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

This study demonstrated that the Theil index is one of the effective indices for quantifying regional disproportionality in COVID-19 incidence rates. Although the Theil index alone cannot fully capture all aspects of pandemic dynamics, it serves as a valuable tool when used alongside other indicators such as infection and hospitalization rates. This approach allows policy makers to monitor regional disproportionality efficiently, offering insights for early intervention and targeted resource allocation.

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Publication Details

Journal
JMIR Formative Research
Published
2024-11-06
DOI
https://doi.org/10.2196/59230
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
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article

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

T. Nakano, Kenji Sasaki, Yoichi Ikeda
JMIR Formative Research
COVID-19 epidemiological studies
article

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

T. Nakano, Kenji Sasaki, Yoichi Ikeda
article en

Abstract

This study demonstrated that the Theil index is one of the effective indices for quantifying regional disproportionality in COVID-19 incidence rates. Although the Theil index alone cannot fully capture all aspects of pandemic dynamics, it serves as a valuable tool when used alongside other indicators such as infection and hospitalization rates. This approach allows policy makers to monitor regional disproportionality efficiently, offering insights for early intervention and targeted resource allocation.

JMIR Formative ResearchVol. 9
The University of Osaka (JP)
Openalex Percentile: Top 79%
COVID-19 epidemiological studies
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