Factors associated with the difference between the incidence and case-fatality ratio of coronavirus disease 2019 by country
Abstract Coronavirus disease (COVID-19) has been spreading all over the world; however, its incidence and case-fatality ratio differ greatly between countries and between continents. We investigated factors associated with international variation in COVID-19 incidence and case-fatality ratio (CFR) a...
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Nature Portfolio
2021
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oai:doaj.org-article:3c8f9411cb8a4402b3341b0cea2533c22021-12-02T15:15:13ZFactors associated with the difference between the incidence and case-fatality ratio of coronavirus disease 2019 by country10.1038/s41598-021-98378-x2045-2322https://doaj.org/article/3c8f9411cb8a4402b3341b0cea2533c22021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-98378-xhttps://doaj.org/toc/2045-2322Abstract Coronavirus disease (COVID-19) has been spreading all over the world; however, its incidence and case-fatality ratio differ greatly between countries and between continents. We investigated factors associated with international variation in COVID-19 incidence and case-fatality ratio (CFR) across 107 northern hemisphere countries, using publicly available COVID-19 outcome data as of 14 September 2020. We included country-specific geographic, demographic, socio-economic features, global health security index (GHSI), healthcare capacity, and major health behavior indexes in multivariate models to explain this variation. Multiple linear regression highlighted that incidence was associated with ethnic region (p < 0.05), global health security index 4 (GHSI4) (beta coefficient [β] 0.50, 95% Confidence Interval [CI] 0.14–0.87), population density (β 0.35, 95% CI 0.10–0.60), and water safety level (β 0.51, 95% CI 0.19–0.84). The CFR was associated with ethnic region (p < 0.05), GHSI4 (β 0.53, 95% CI 0.14–0.92), proportion of population over 65 (β 0.71, 95% CI 0.19–1.24), international tourism receipt level (β − 0.23, 95% CI − 0.43 to − 0.03), and the number of physicians (β − 0.37, 95% CI − 0.69 to − 0.06). Ethnic region was the most influential factor for both COVID-19 incidence (partial $${R}^{2}$$ R 2 = 0.545) and CFR (partial $${R}^{2}$$ R 2 = 0.372), even after adjusting for various confounding factors.Jeehyun KimKwan HongSujin YumRaquel Elizabeth Gómez GómezJieun JangSun Hee ParkYoung June ChoeSukhyun RyuDae Won ParkYoung Seok LeeHeeyoung LeeDong Hyun KimDong-Hyun KimByung Chul ChunNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021) |
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DOAJ |
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DOAJ |
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Medicine R Science Q |
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Medicine R Science Q Jeehyun Kim Kwan Hong Sujin Yum Raquel Elizabeth Gómez Gómez Jieun Jang Sun Hee Park Young June Choe Sukhyun Ryu Dae Won Park Young Seok Lee Heeyoung Lee Dong Hyun Kim Dong-Hyun Kim Byung Chul Chun Factors associated with the difference between the incidence and case-fatality ratio of coronavirus disease 2019 by country |
| description |
Abstract Coronavirus disease (COVID-19) has been spreading all over the world; however, its incidence and case-fatality ratio differ greatly between countries and between continents. We investigated factors associated with international variation in COVID-19 incidence and case-fatality ratio (CFR) across 107 northern hemisphere countries, using publicly available COVID-19 outcome data as of 14 September 2020. We included country-specific geographic, demographic, socio-economic features, global health security index (GHSI), healthcare capacity, and major health behavior indexes in multivariate models to explain this variation. Multiple linear regression highlighted that incidence was associated with ethnic region (p < 0.05), global health security index 4 (GHSI4) (beta coefficient [β] 0.50, 95% Confidence Interval [CI] 0.14–0.87), population density (β 0.35, 95% CI 0.10–0.60), and water safety level (β 0.51, 95% CI 0.19–0.84). The CFR was associated with ethnic region (p < 0.05), GHSI4 (β 0.53, 95% CI 0.14–0.92), proportion of population over 65 (β 0.71, 95% CI 0.19–1.24), international tourism receipt level (β − 0.23, 95% CI − 0.43 to − 0.03), and the number of physicians (β − 0.37, 95% CI − 0.69 to − 0.06). Ethnic region was the most influential factor for both COVID-19 incidence (partial $${R}^{2}$$ R 2 = 0.545) and CFR (partial $${R}^{2}$$ R 2 = 0.372), even after adjusting for various confounding factors. |
| format |
article |
| author |
Jeehyun Kim Kwan Hong Sujin Yum Raquel Elizabeth Gómez Gómez Jieun Jang Sun Hee Park Young June Choe Sukhyun Ryu Dae Won Park Young Seok Lee Heeyoung Lee Dong Hyun Kim Dong-Hyun Kim Byung Chul Chun |
| author_facet |
Jeehyun Kim Kwan Hong Sujin Yum Raquel Elizabeth Gómez Gómez Jieun Jang Sun Hee Park Young June Choe Sukhyun Ryu Dae Won Park Young Seok Lee Heeyoung Lee Dong Hyun Kim Dong-Hyun Kim Byung Chul Chun |
| author_sort |
Jeehyun Kim |
| title |
Factors associated with the difference between the incidence and case-fatality ratio of coronavirus disease 2019 by country |
| title_short |
Factors associated with the difference between the incidence and case-fatality ratio of coronavirus disease 2019 by country |
| title_full |
Factors associated with the difference between the incidence and case-fatality ratio of coronavirus disease 2019 by country |
| title_fullStr |
Factors associated with the difference between the incidence and case-fatality ratio of coronavirus disease 2019 by country |
| title_full_unstemmed |
Factors associated with the difference between the incidence and case-fatality ratio of coronavirus disease 2019 by country |
| title_sort |
factors associated with the difference between the incidence and case-fatality ratio of coronavirus disease 2019 by country |
| publisher |
Nature Portfolio |
| publishDate |
2021 |
| url |
https://doaj.org/article/3c8f9411cb8a4402b3341b0cea2533c2 |
| work_keys_str_mv |
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