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Country-level determinants of the severity of the first global wave of the COVID-19 pandemic: an ecological study

OBJECTIVE: We aimed to identify the country-level determinants of the severity of the first wave of the COVID-19 pandemic. DESIGN: Ecological study of publicly available data. Countries reporting >25 COVID-19 related deaths until 8 June 2020 were included. The outcome was log mean mortality rate...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7868125/
https://www.ncbi.nlm.nih.gov/pubmed/33536319
http://dx.doi.org/10.1136/bmjopen-2020-042034
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author 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
author_facet 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
author_sort Pana, Tiberiu A
collection PubMed
description OBJECTIVE: We aimed to identify the country-level determinants of the severity of the first wave of the COVID-19 pandemic. DESIGN: Ecological study of publicly available data. Countries reporting >25 COVID-19 related deaths until 8 June 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, population >65 years, average body mass index and smoking prevalence); economic parameters (gross domestic product per capita); environmental parameters (pollution levels and mean temperature (January–May); comorbidities (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 OUTCOME: Country-level mean mortality rate: the mean slope of the COVID-19 mortality curve during its ascending phase. PARTICIPANTS: Thirty-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 UK and the USA. RESULTS: Of all country-level determinants included in the multivariable model, total number of international arrivals (beta 0.033 (95% CI 0.012 to 0.054)) and BCG vaccination coverage (−0.018 (95% CI −0.034 to –0.002)), were significantly associated with the natural logarithm of the mean death rate. CONCLUSIONS: International 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-19 outbreaks and prevent related deaths.
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spelling pubmed-78681252021-02-08 Country-level determinants of the severity of the first global wave of the COVID-19 pandemic: an ecological study 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 BMJ Open Public Health OBJECTIVE: We aimed to identify the country-level determinants of the severity of the first wave of the COVID-19 pandemic. DESIGN: Ecological study of publicly available data. Countries reporting >25 COVID-19 related deaths until 8 June 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, population >65 years, average body mass index and smoking prevalence); economic parameters (gross domestic product per capita); environmental parameters (pollution levels and mean temperature (January–May); comorbidities (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 OUTCOME: Country-level mean mortality rate: the mean slope of the COVID-19 mortality curve during its ascending phase. PARTICIPANTS: Thirty-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 UK and the USA. RESULTS: Of all country-level determinants included in the multivariable model, total number of international arrivals (beta 0.033 (95% CI 0.012 to 0.054)) and BCG vaccination coverage (−0.018 (95% CI −0.034 to –0.002)), were significantly associated with the natural logarithm of the mean death rate. CONCLUSIONS: International 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-19 outbreaks and prevent related deaths. BMJ Publishing Group 2021-02-03 /pmc/articles/PMC7868125/ /pubmed/33536319 http://dx.doi.org/10.1136/bmjopen-2020-042034 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Public Health
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
Country-level determinants of the severity of the first global wave of the COVID-19 pandemic: an ecological study
title Country-level determinants of the severity of the first global wave of the COVID-19 pandemic: an ecological study
title_full Country-level determinants of the severity of the first global wave of the COVID-19 pandemic: an ecological study
title_fullStr Country-level determinants of the severity of the first global wave of the COVID-19 pandemic: an ecological study
title_full_unstemmed Country-level determinants of the severity of the first global wave of the COVID-19 pandemic: an ecological study
title_short Country-level determinants of the severity of the first global wave of the COVID-19 pandemic: an ecological study
title_sort country-level determinants of the severity of the first global wave of the covid-19 pandemic: an ecological study
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7868125/
https://www.ncbi.nlm.nih.gov/pubmed/33536319
http://dx.doi.org/10.1136/bmjopen-2020-042034
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