Evidence map›Paper›PMID 34556739›Full record

ArticleScientific reports2021

Factors associated with the difference between the incidence and case-fatality ratio of coronavirus disease 2019 by country.

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 and 4 more

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Perceptions of COVID-19 Risk: How Did People Adapt to the Novel Risk?Medical decision making : an international journal of the Society for Medical Decision Making · 2024
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  15. Social and Policy Determinants of COVID-19 Infection Across 23 Countries: An Ecological Study.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2022
    Article
  16. Article
  17. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Jeehyun KimDepartment of Preventive Medicine, Korea University College of Medicine, Seoul, Republic of Korea.
Kwan HongDepartment of Preventive Medicine, Korea University College of Medicine, Seoul, Republic of Korea.
Sujin YumDepartment of Preventive Medicine, Korea University College of Medicine, Seoul, Republic of Korea.
Raquel Elizabeth Gómez GómezDepartment of Preventive Medicine, Korea University College of Medicine, Seoul, Republic of Korea.
Jieun JangDepartment of Preventive Medicine, Korea University College of Medicine, Seoul, Republic of Korea.
Sun Hee ParkDivision of Infectious Diseases, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Young June ChoeDepartment of Pediatrics, Korea University Anam Hospital, Seoul, Republic of Korea.
Sukhyun RyuDepartment of Preventive Medicine, Konyang University College of Medicine, Daejeon, Republic of Korea.
Dae Won ParkDivision of Infectious Diseases, Department of Internal Medicine, Korea University Ansan Hospital, Ansan, Republic of Korea.
Young Seok LeeDivision of Pulmonary, Allergy, and Critical Care Medicine, Department of Internal Medicine, Korea University Guro Hospital, Seoul, Republic of Korea.
Heeyoung LeeCenter for Preventive Medicine and Public Health, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Dong Hyun KimDepartment of Pediatrics, Inha University School of Medicine, Incheon, Republic of Korea.
Dong-Hyun KimDepartment of Social and Preventive Medicine, Hallym University College of Medicine, Chuncheon, Gangwon, Republic of Korea.
Byung Chul ChunDepartment of Preventive Medicine, Korea University College of Medicine, Seoul, Republic of Korea. chun@korea.ac.kr.

Funding

Korea Centers for Disease Control and Prevention 2020-ER5313-00
6 · The paper itself

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 [Formula: see text] = 0.545) and CFR (partial [Formula: see text] = 0.372), even after adjusting for various confounding factors.

Indexed as

COVID-19Global HealthHumansIncidenceMortalityPopulation DensityRisk FactorsSARS-CoV-2

Identifiers

PMID34556739
PMCPMC8460795

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.