Cargando…

Country-level and regional COVID-19 burden and determinants across OECD member states and partner countries

BACKGROUND: COVID-19 pandemic is tremendously impacted by socioeconomic and health determinants worldwide. This study aimed to determine factors associated with COVID-19 fatality among member states and partner countries of the Organization for Economic Cooperation and Development (OECD). METHODS: A...

Descripción completa

Detalles Bibliográficos
Autores principales: Ngatu, Nlandu Roger, Tayama, Kazuto, Kanda, Kanae, Hirao, Tomohiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Japanese Society for Hygiene 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9640741/
https://www.ncbi.nlm.nih.gov/pubmed/36273898
http://dx.doi.org/10.1265/ehpm.22-00054
_version_ 1784825928123154432
author Ngatu, Nlandu Roger
Tayama, Kazuto
Kanda, Kanae
Hirao, Tomohiro
author_facet Ngatu, Nlandu Roger
Tayama, Kazuto
Kanda, Kanae
Hirao, Tomohiro
author_sort Ngatu, Nlandu Roger
collection PubMed
description BACKGROUND: COVID-19 pandemic is tremendously impacted by socioeconomic and health determinants worldwide. This study aimed to determine factors associated with COVID-19 fatality among member states and partner countries of the Organization for Economic Cooperation and Development (OECD). METHODS: An ecological study was conducted using COVID-19 data of 48 countries for the period between 31 December 2019–31 December 2021. The outcome variables were COVID-19 case fatality rate (CFR) and years of life lost to COVID-19 (YLLs). Countries’ sociodemographics and COVID-19-related data were extracted from OECD website, Our World in Data, John Hopkins Coronavirus Resource Center, Economist Intelligence Unit (EIU) and WHO. RESULTS: In the first year of the pandemic (December 2019–January 2021), highest CFR was observed in Mexico, 8.51%, followed by China, 5.17% and Bulgaria, 4.12%), and highest YLLs was observed in Mexico, 2,055 per 100,000. At regional level, highest CFR was observed in North & central America, 4.25 (3.71) %, followed by South America (2.5 (0.1) %); whereas highest YLLs was observed in South America region 1457.5 (274.8) per 100,000, followed by North & central America, 1207.3 (908.1) per 100,000. As of 31 December 2021, Mexico (7.52%) and Bulgaria (4.78%) had highest CFR; on the other hand, highest YLLs was observed in England, 26.5 per 1,000, followed by the United States, 25.9 per 1,000. At regional level, highest CFR (3.37(3.19) %) and YLLs (16.7 (13) per 1,000) were both observed in North & central America. Globally, the analysis of the 2-year cumulative data showed inverse correlation between CFR and nurse per 10,000 (R = −0.48; p < 0.05) and GDP per capita (R = −0.54; p < 0.001), whereas positive correlation was observed between YLLs and elderly population rate (R = 0.66; p < 0.05) and overweight/obese population rates (R = 0.55; p < 0.05). CONCLUSION: This study provides insights on COVID-19 burden among OECD states and partner countries. GDP per capita, overweight/obesity and the rate of elderly population emerged as major social and health determinants of COVID-19 related burden and fatality. Findings suggest that a robust economy and interventions designed to promote healthy longevity and prevent weight gain in at-risk individuals might reduce COVID-19 burden and fatality among OECD states and partner countries. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at https://doi.org/10.1265/ehpm.22-00054.
format Online
Article
Text
id pubmed-9640741
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Japanese Society for Hygiene
record_format MEDLINE/PubMed
spelling pubmed-96407412022-11-17 Country-level and regional COVID-19 burden and determinants across OECD member states and partner countries Ngatu, Nlandu Roger Tayama, Kazuto Kanda, Kanae Hirao, Tomohiro Environ Health Prev Med Research Article BACKGROUND: COVID-19 pandemic is tremendously impacted by socioeconomic and health determinants worldwide. This study aimed to determine factors associated with COVID-19 fatality among member states and partner countries of the Organization for Economic Cooperation and Development (OECD). METHODS: An ecological study was conducted using COVID-19 data of 48 countries for the period between 31 December 2019–31 December 2021. The outcome variables were COVID-19 case fatality rate (CFR) and years of life lost to COVID-19 (YLLs). Countries’ sociodemographics and COVID-19-related data were extracted from OECD website, Our World in Data, John Hopkins Coronavirus Resource Center, Economist Intelligence Unit (EIU) and WHO. RESULTS: In the first year of the pandemic (December 2019–January 2021), highest CFR was observed in Mexico, 8.51%, followed by China, 5.17% and Bulgaria, 4.12%), and highest YLLs was observed in Mexico, 2,055 per 100,000. At regional level, highest CFR was observed in North & central America, 4.25 (3.71) %, followed by South America (2.5 (0.1) %); whereas highest YLLs was observed in South America region 1457.5 (274.8) per 100,000, followed by North & central America, 1207.3 (908.1) per 100,000. As of 31 December 2021, Mexico (7.52%) and Bulgaria (4.78%) had highest CFR; on the other hand, highest YLLs was observed in England, 26.5 per 1,000, followed by the United States, 25.9 per 1,000. At regional level, highest CFR (3.37(3.19) %) and YLLs (16.7 (13) per 1,000) were both observed in North & central America. Globally, the analysis of the 2-year cumulative data showed inverse correlation between CFR and nurse per 10,000 (R = −0.48; p < 0.05) and GDP per capita (R = −0.54; p < 0.001), whereas positive correlation was observed between YLLs and elderly population rate (R = 0.66; p < 0.05) and overweight/obese population rates (R = 0.55; p < 0.05). CONCLUSION: This study provides insights on COVID-19 burden among OECD states and partner countries. GDP per capita, overweight/obesity and the rate of elderly population emerged as major social and health determinants of COVID-19 related burden and fatality. Findings suggest that a robust economy and interventions designed to promote healthy longevity and prevent weight gain in at-risk individuals might reduce COVID-19 burden and fatality among OECD states and partner countries. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at https://doi.org/10.1265/ehpm.22-00054. Japanese Society for Hygiene 2022-10-21 /pmc/articles/PMC9640741/ /pubmed/36273898 http://dx.doi.org/10.1265/ehpm.22-00054 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Ngatu, Nlandu Roger
Tayama, Kazuto
Kanda, Kanae
Hirao, Tomohiro
Country-level and regional COVID-19 burden and determinants across OECD member states and partner countries
title Country-level and regional COVID-19 burden and determinants across OECD member states and partner countries
title_full Country-level and regional COVID-19 burden and determinants across OECD member states and partner countries
title_fullStr Country-level and regional COVID-19 burden and determinants across OECD member states and partner countries
title_full_unstemmed Country-level and regional COVID-19 burden and determinants across OECD member states and partner countries
title_short Country-level and regional COVID-19 burden and determinants across OECD member states and partner countries
title_sort country-level and regional covid-19 burden and determinants across oecd member states and partner countries
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9640741/
https://www.ncbi.nlm.nih.gov/pubmed/36273898
http://dx.doi.org/10.1265/ehpm.22-00054
work_keys_str_mv AT ngatunlanduroger countrylevelandregionalcovid19burdenanddeterminantsacrossoecdmemberstatesandpartnercountries
AT tayamakazuto countrylevelandregionalcovid19burdenanddeterminantsacrossoecdmemberstatesandpartnercountries
AT kandakanae countrylevelandregionalcovid19burdenanddeterminantsacrossoecdmemberstatesandpartnercountries
AT hiraotomohiro countrylevelandregionalcovid19burdenanddeterminantsacrossoecdmemberstatesandpartnercountries