Evidence map›Paper›PMID 34706146›Full record

ArticleTransboundary and emerging diseases2022

Country-level determinants of COVID-19 case rates and death rates: An ecological study.

Christopher El Mouhayyar, Luke T Jaber, Matthias Bergmann, Hocine Tighiouart, Bertrand L Jaber

Open access · greenAbstract read
In one paragraph

Article in Transboundary and emerging diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 21% of its field
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

7 citing papers in PubMed, 16 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Christopher El MouhayyarDepartment of Medicine, St. Elizabeth's Medical Center, Boston, Massachusetts.ORCID https://orcid.org/0000-0003-3935-1054
Luke T JaberBentley University, Waltham, Massachusetts.
Matthias BergmannDepartment of Medicine, St. Elizabeth's Medical Center, Boston, Massachusetts.
Hocine TighiouartInstitute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, Massachusetts.
Bertrand L JaberDepartment of Medicine, St. Elizabeth's Medical Center, Boston, Massachusetts.ORCID https://orcid.org/0000-0003-0577-0605
Tufts University · USBentley University · US

Funding

Tufts Clinical and Translational Research InstituteUL1TR001064 · NCATS · TUFTS UNIVERSITY BOSTON · PI SELKER, HARRY P. · 2013 to 2017
$26.4M
TUFTS CLINICAL AND TRANSLATION SCIENCE INSTITUTE (UL1): BPCAUL1RR025752 · NCRR · TUFTS UNIVERSITY BOSTON · PI SELKER, HARRY P. · 2008 to 2011
$17.6M
Tufts Clinical and Translation Science Institute (UL1)UL1TR000073 · NCATS · TUFTS UNIVERSITY BOSTON · PI SELKER, HARRY P. · 2012 to 2013
$5.5M
NCATS NIH HHS UL1 TR000073NCATS NIH HHS UL1 TR001064NCRR NIH HHS UL1 RR025752
6 · The paper itself

Abstract

The Coronavirus Disease 2019 (COVID-19) pandemic has had a variable worldwide impact, likely related to country-level characteristics. In this ecological study, we explored the association of COVID-19 case rates (per 100,000 people) and death rates (per 100,000 people) with country-level population health characteristics, economic and human development indicators, and habitat-related variables. To calculate country-level COVID-19 case and death rates, the number of cases and deaths were extracted from the Johns Hopkins Coronavirus Resource Center through September 30, 2021. Country-level population health characteristics, economic, human development, and habitat-related indicators were extracted from several publicly available online sources of international organizations. Results were tabulated according to world zones and country economies. Unadjusted and adjusted multiple imputation linear regression analyses were performed to examine the association between country-level variables (per 1-standard deviation [SD] increase) and COVID-19 case and death rates. To satisfy the linear regression model assumptions of normality of residuals, we used the square root transformation of both outcomes. A total of 187 countries and territories were analyzed, with a median (25th, 75th percentiles) aggregate COVID-19 case rate of 3,605 (463, 8,228) per 100,000, a COVID-19 death rate of 45.9 (8.9, 137.1) per 100,000, and a case-fatality rate of 1.6% (1.2%, 2.6%). On multivariable analyses, each country-level 1-SD higher percentage of adults with obesity (β coefficient 13.7; 95% confidence interval [CI] 13.7; 8.9, 18.4), percentage of smokers (5.8; 95% CI 1.2, 10.5), percentage of adults with high blood pressure (4.9; 95% CI 0.3, 9.6), and gross national income (GNI) per capita (9.5; 95% CI 4.6, 14.5) was independently associated with higher square root of COVID-19 case rate, while average household size (-1.7; 95% CI -12.3, -3.2) was independently associated with lower square root of COVID-19 case rate. Similarly, each 1-SD higher percentage of adults with obesity (1.76; 95% CI 0.99, 2.52), percentage of adults with high blood pressure (1.11; 95% CI 0.48, 1.74), percentage of adults with physical inactivity (1.01; 95% CI 0.10, 1.191), and travel & tourism competitiveness index (1.05; 95% CI 0.06, 2.04) was independently associated with higher square root of COVID-19 death rate, whereas GNI per capita (-0.92; 95% CI -1.81, -0.03), and average household size (-1.07; 95% CI -1.87, -0.27) was independently associated with lower square root of COVID-19 death rate. This ecological study informs the need to develop country-specific public health interventions to better target populations at high risk for COVID-19, and test interventions to prevent transmission of SARS-CoV-2, taking into consideration cross-country differences in population health characteristics, and economic, human development and habitat-related factors.

Indexed as

COVID-19HypertensionHumansObesityPandemicsSARS-CoV-2COVID-19economicsenvironment and public healthgeographic locationspopulation healthSARS-CoV-2

Identifiers

PMID34706146
PMCPMC8662119
OpenAlexW3208034103

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.