WEKO3
アイテム
Why Are COVID-19 Mortality Rates by Country or Region So Different?: An Ecologic Study of Factors Associated with Mortality from Novel Coronavirus Infections by Country
https://repository.lib.tottori-u.ac.jp/records/4672
https://repository.lib.tottori-u.ac.jp/records/46721a6b3e7a-1e3b-4f99-b63a-7eb2447f8de2
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
yam64(1)_080.pdf (1.0 MB)
|
|
| Item type | 学術雑誌論文 / Journal Article(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2021-03-17 | |||||
| タイトル | ||||||
| タイトル | Why Are COVID-19 Mortality Rates by Country or Region So Different?: An Ecologic Study of Factors Associated with Mortality from Novel Coronavirus Infections by Country | |||||
| 言語 | en | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | COVID-19 | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | mortality | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | ecologic study | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Kawasaki disease | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | COVID-19 | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | mortality | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | ecologic study | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | Kawasaki disease | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
| 資源タイプ | journal article | |||||
| 著者 |
尾崎, 米厚
× 尾崎, 米厚× 大槻, 均× 今本, 彩× 金城, 文× 藤井, 麻耶× 桑原, 祐樹× 近藤, 陽子 |
|||||
| 著者所属（英） | ||||||
| 言語 | en | |||||
| 値 | Division of Environmental and Preventive Medicine, Department of Social Medicine, School of Medicine, Faculty of Medicine, Tottori University | |||||
| 著者所属（英） | ||||||
| 言語 | en | |||||
| 値 | Division of Medical Zoology, Department of Microbiology and Immunology, School of Medicine, Faculty of Medicine, Tottori University | |||||
| 著者所属（英） | ||||||
| 言語 | en | |||||
| 値 | Division of Pediatrics and Perinatology, School of Medicine, Faculty of Medicine, Tottori University | |||||
| 著者所属（英） | ||||||
| 言語 | en | |||||
| 値 | Division of Environmental and Preventive Medicine, Department of Social Medicine, School of Medicine, Faculty of Medicine, Tottori University | |||||
| 著者所属（英） | ||||||
| 言語 | en | |||||
| 値 | Division of Environmental and Preventive Medicine, Department of Social Medicine, School of Medicine, Faculty of Medicine, Tottori University | |||||
| 著者所属（英） | ||||||
| 言語 | en | |||||
| 値 | Division of Environmental and Preventive Medicine, Department of Social Medicine, School of Medicine, Faculty of Medicine, Tottori University | |||||
| 著者所属（英） | ||||||
| 言語 | en | |||||
| 値 | Division of Medical Zoology, Department of Microbiology and Immunology, School of Medicine, Faculty of Medicine, Tottori University | |||||
| 抄録 | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | [Background] In order to find out the factors associated with the large disparities in COVID-19 mortality rates by country, we conducted an ecological study by linking existing statistics. In Japan, a large variation was observed in between geographical areas when assessing mortality. We performed a regional correlation analysis to find factors related to regional mortality. [Methods] This study design was an ecologic study. A multiple regression analysis was performed with COVID-19 mortality rates of different countries as the dependent variable together with various health care and economic factors. We calculated the cumulative mortality rate as of June 30, 2020. For the regional correlation analysis of Japan, 47 prefectures were divided into nine regions. The factors examined were health care and tourism. Data for 33 Organization for Economic Co-operation and Development (OECD) countries were analyzed. In Japan’s regional analysis, the whole country was classified into nine regions. [Results] Factors related to mortality were the incidence of Kawasaki disease (KD), number of computed tomographies (CTs), and alcohol consumption. Mortality was low in countries with high incidence of KD and high number of CTs, as well as in countries with high alcohol consumption. In European countries, high smoking prevalence and a high Gini coefficient were positively related to high mortality. According to a regional analysis in Japan, mortality was related to proportion of population in the densely inhabited districts, the number of foreign visitors per capita, and the number of Chinese visitors per capita. [Conclusion] Low mortality in East Asia was associated with specific disease morbidity (KD), alcohol consumption, and CT numbers. It was suggested that the mortality gap in Japan was related to the number of foreign tourists and the proportion of population in the densely inhabited districts. | |||||
| 書誌情報 |
Yonago Acta Medica en : Yonago Acta Medica 巻 64, 号 1, p. 80-91, 発行日 2021-02-22 |
|||||
| 出版者 | ||||||
| 出版者 | Tottori University Medical Press | |||||
| ISSN | ||||||
| 収録物識別子タイプ | ISSN | |||||
| 収録物識別子 | 05135710 | |||||
| 書誌レコードID | ||||||
| 収録物識別子タイプ | NCID | |||||
| 収録物識別子 | AA00892882 | |||||
| DOI | ||||||
| 関連タイプ | isIdenticalTo | |||||
| 識別子タイプ | DOI | |||||
| 関連識別子 | 10.33160/yam.2021.02.011 | |||||
| 権利 | ||||||
| 権利情報 | (C) 2021 Tottori University Medical Press | |||||
| 情報源 | ||||||
| 関連名称 | Y. Osaki, H. Otsuki, A. Imamoto, et al. Why Are COVID-19 Mortality Rates by Country or Region So Different?: An Ecologic Study of Factors Associated with Mortality from Novel Coronavirus Infections by Country. Yonago Acta Medica. 2021, 64(1), 80-91. doi:1 | |||||
| 関連サイト | ||||||
| 識別子タイプ | URI | |||||
| 関連識別子 | http://www.lib.tottori-u.ac.jp/yam/yam/yam64-1/64-1contents.html | |||||
| 関連名称 | http://www.lib.tottori-u.ac.jp/yam/yam/yam64-1/64-1contents.html | |||||
| 関連サイト | ||||||
| 識別子タイプ | URI | |||||
| 関連識別子 | https://www.jstage.jst.go.jp/article/yam/64/1/64_2021.02.011/_article/-char/ja | |||||
| 関連名称 | https://www.jstage.jst.go.jp/article/yam/64/1/64_2021.02.011/_article/-char/ja | |||||
| 著者版フラグ | ||||||
| 出版タイプ | VoR | |||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
| EISSN | ||||||
| 値 | 13468049 | |||||
