Country-level Determinants of the Severity of the First Global Wave of the COVID-19 Pandemic: An Ecological Study

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Title: Country-level Determinants of the Severity of the First Global Wave of the COVID-19 Pandemic: An Ecological Study
Authors: Pana, Tiberiu A, Bhattacharya, Sohinee, Gamble, David T, Pasdar, Zahra, Szlachetka, Weronika A, Perdomo-Lampignano, Jesus A, Ewers, Kai D, McLernon, David J, Myint, Phyo K
Contributors: University of Aberdeen.Other Applied Health Sciences, University of Aberdeen.Aberdeen Centre for Women’s Health Research, University of Aberdeen.Centre for Health Data Science, University of Aberdeen.Medicine, Medical Sciences & Nutrition, University of Aberdeen.Applied Medicine, University of Aberdeen.Medical Statistics, University of Aberdeen.Institute of Applied Health Sciences
Source: BMJ Open
BMJ Open, Vol 11, Iss 2 (2021)
Publication Status: Preprint
Publisher Information: Cold Spring Harbor Laboratory, 2020.
Publication Year: 2020
Subject Terms: Male, Supplementary Data, infectious diseases, Pandemics/statistics & numerical data, Body Mass Index, Neoplasms, 11. Sustainability, COVID-19/epidemiology, Travel, public health, Temperature, Age Factors, Smoking/epidemiology, General Medicine, Middle Aged, SDG 11 - Sustainable Cities and Communities, 3. Good health, Europe, Hypertension, Diabetes Mellitus/epidemiology, Medicine, epidemiology, Female, Public Health, Adult, Asia, Social Determinants of Health/statistics & numerical data, R Medicine, Europe/epidemiology, Young Adult, SDG 3 - Good Health and Well-being, Hypertension/epidemiology, Air Pollution, Diabetes Mellitus, Humans, Pandemics, Aged, Population Density, Asia/epidemiology, SARS-CoV-2, COVID-19, Air Pollution/statistics & numerical data, Africa/epidemiology, 13. Climate action, Africa, Americas, Neoplasms/epidemiology, Americas/epidemiology
Description: ObjectiveWe aimed to identify the country-level determinants of the severity of the first wave of the COVID-19 pandemic.DesignAn ecological study design of publicly available data was employed. Countries reporting >25 COVID-related deaths until 08/06/2020 were included. The outcome was log mean mortality rate from COVID-19, an estimate of the country-level daily increase in reported deaths during the ascending phase of the epidemic curve. Potential determinants assessed were most recently published demographic parameters (population and population density, percentage population living in urban areas, median age, average body mass index, smoking prevalence), Economic parameters (Gross Domestic Product per capita); environmental parameters: pollution levels, mean temperature (January-May)), co-morbidities (prevalence of diabetes, hypertension and cancer), health system parameters (WHO Health Index and hospital beds per 10,000 population); international arrivals, the stringency index, as a measure of country-level response to COVID-19, BCG vaccination coverage, UV radiation exposure and testing capacity. Multivariable linear regression was used to analyse the data.Primary OutcomeCountry-level mean mortality rate: the mean slope of the COVID-19 mortality curve during its ascending phase.ParticipantsThirty-seven countries were included: Algeria, Argentina, Austria, Belgium, Brazil, Canada, Chile, Colombia, the Dominican Republic, Ecuador, Egypt, Finland, France, Germany, Hungary, India, Indonesia, Ireland, Italy, Japan, Mexico, the Netherlands, Peru, the Philippines, Poland, Portugal, Romania, the Russian Federation, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, Ukraine, the United Kingdom and the United States.ResultsOf all country-level predictors included in the multivariable model, total number of international arrivals (beta 0.033 (95% Confidence Interval 0.012,0.054)) and BCG vaccination coverage (−0.018 (−0.034,-0.002)), were significantly associated with the mean death rate.ConclusionsInternational travel was directly associated with the mortality slope and thus potentially the spread of COVID-19. Very early restrictions on international travel should be considered to control COVID outbreak and prevent related deaths.ARTICLE SUMMARYStrengths and limitationsA comparable and relevant outcome variable quantifying country-level increases in the COVID-19 death rate was derived which is largely independent of different testing policies adopted by each countryOur multivariable regression models accounted for public health and economic measures which were adopted by each country in response to the COVID-19 pandemic by adjusting for the Stringency IndexThe main limitation of the study stems from the ecological study design which does not allow for conclusions to be drawn for individual COVID-19 patientsOnly countries that had reported at least 25 daily deaths over the analysed period were included, which reduced our sample and consequently the power.
Document Type: Article
Other literature type
File Description: application/pdf
ISSN: 2044-6055
DOI: 10.1101/2020.05.13.20100677
DOI: 10.1136/bmjopen-2020-042034
Access URL: https://bmjopen.bmj.com/content/bmjopen/11/2/e042034.full.pdf
https://pubmed.ncbi.nlm.nih.gov/33536319
https://doaj.org/article/c3c0c8755c2545b29f6b55ce92380bbc
http://www.medrxiv.org/content/10.1101/2020.05.13.20100677v3
https://www.medrxiv.org/content/10.1101/2020.05.13.20100677v3
https://www.medrxiv.org/content/medrxiv/early/2020/05/16/2020.05.13.20100677.full.pdf
https://bmjopen.bmj.com/content/11/2/e042034
https://pubmed.ncbi.nlm.nih.gov/33536319/
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7868125
https://www.mendeley.com/catalogue/0dbe12fe-73c6-3ee2-9ab0-9596cb4fc1f9/
https://www.ncbi.nlm.nih.gov/pubmed/33536319
https://aura.abdn.ac.uk/handle/2164/15780
Rights: CC BY NC
Accession Number: edsair.doi.dedup.....0d340d18dadd4745fa1d9656b53d681e
Database: OpenAIRE
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