Detection of outlier prefectures on the mortality due to COVID-19 in Japan
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Updated: Aug 12, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Kentaro Iwata1, Chisato Miyakoshi2
1Division of Infectious Diseases, Kobe University Hospital, 7-5-2 Kusunokicho, Chuoku, Kobe, Japan.
Insights
This study investigated COVID-19 mortality differences across Japanese prefectures. Hokkaido and Hyogo prefectures showed higher mortality rates than expected after accounting for key risk factors.
Area of Science:
- Epidemiology
- Public Health
- Infectious Disease Research
Background:
- Japan experienced significant COVID-19 mortality, with notable variations between prefectures.
- Understanding these prefectural differences is crucial for targeted public health interventions.
Purpose of the Study:
- To identify Japanese prefectures with COVID-19 mortality rates deviating from expected levels.
- To analyze the association between COVID-19 mortality and factors like infection rates, population density, and elderly population proportion.
Main Methods:
- Utilized multiple linear regression analyses to model COVID-19 mortality.
- Employed the Hampel identifier to detect outlier prefectures.
- Adjusted for key variables including number of infected cases, population density, and proportion of elderly population.
Main Results:
- Hokkaido and Hyogo prefectures were identified as statistical outliers.
- These prefectures exhibited higher COVID-19 mortality than predicted by the model.
- The analysis adjusted for significant demographic and epidemiological factors.
Conclusions:
- Prefectural variations in COVID-19 mortality exist in Japan beyond explained risk factors.
- Hokkaido and Hyogo require further investigation to understand their elevated mortality.
- Identifying specific causes for these outlier prefectural outcomes is essential for future pandemic preparedness.
Abstract:
Japan has suffered from COVID-19 with significant mortality, but its prefectural differences are not well investigated. Since the mortality due to COVID-19 was likely to be associated with the number of infected cases, the population density, and the proportion of the elderly population, we tried to detect the outlier prefectures by multiple linear regression analyses. With the use of the Hampel identifier, we found that Hokkaido and Hyogo were the outlier prefectures with higher mortality after adjusting the variables above. Further studies should delineate the causes of these differences.
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