Health inequality among different economies during early phase of COVID-19 pandemic.

COVID-19 HCoV-19 Health inequality Mitigation SARS-CoV-2 SDGs

Journal

The Journal of the Egyptian Public Health Association
ISSN: 2090-262X
Titre abrégé: J Egypt Public Health Assoc
Pays: United States
ID NLM: 7505602

Informations de publication

Date de publication:
17 Feb 2021
Historique:
received: 09 07 2020
accepted: 20 01 2021
entrez: 17 2 2021
pubmed: 18 2 2021
medline: 18 2 2021
Statut: epublish

Résumé

The new coronavirus outbreak originated in Wuhan, China, started in January 2020 is escalating as a pandemic across the globe in March 2020. It causes unprecedented morbidity and shocked health systems and the supply chains in new epicenters such as Italy, Spain, and the USA, claiming thousands of lives. Meanwhile, the pandemic is reaching swiftly and silently to low-income countries where international media cover less. How likely health outcomes among the countries with different economies may differ during the pandemic has not been reported yet. Methodologically, we conducted an analysis of COVID-19 deaths comparing case fatality rate (CFR) among countries with different income categories, applying COVID-19 global data from the European Centre for Disease Control including 199 countries' data as of 31 March 2020, in the early phase of the pandemic. We categorized countries into high-income countries (HIC), upper-middle-income countries (UMIC), lower-middle-income countries (LMIC), and low-income countries (LIC) according to World Bank classification by income as of 2020. Statistically, countries in different income groups are significantly different in terms of new cases identified in the last 2 weeks and the case fatality rate (MANOVA, P value < 0.001). New tests and detected case numbers shot up in HICs where CFR shot up in LMICs and LICs. The results of this analysis pointed out an important gap among countries with different economic status during the ongoing pandemic. In the HIC, contact tracing, testing capacity, and outbreak response, as well as clinical services, are strong. In the LICs, there is a low capacity of outbreak response which is reflected by the significantly lower number of diagnostic tests. Consequently, the reported number of COVID-19 cases in LICs may not reflect the actual burden of the pandemic. Without effective prevention, the pandemic can readily break into the weak health system and over-burden the hospitals and clinical services in poor countries. This finding is showing health inequality between the rich and the poor being amplified by the COVID-19 pandemic. Addressing such a gap through the local governance and integrated global responses will not only prevent unprecedented deaths, but also preserve the momentum towards Sustainable Development Goals (SDGs).

Sections du résumé

BACKGROUND BACKGROUND
The new coronavirus outbreak originated in Wuhan, China, started in January 2020 is escalating as a pandemic across the globe in March 2020. It causes unprecedented morbidity and shocked health systems and the supply chains in new epicenters such as Italy, Spain, and the USA, claiming thousands of lives. Meanwhile, the pandemic is reaching swiftly and silently to low-income countries where international media cover less. How likely health outcomes among the countries with different economies may differ during the pandemic has not been reported yet. Methodologically, we conducted an analysis of COVID-19 deaths comparing case fatality rate (CFR) among countries with different income categories, applying COVID-19 global data from the European Centre for Disease Control including 199 countries' data as of 31 March 2020, in the early phase of the pandemic. We categorized countries into high-income countries (HIC), upper-middle-income countries (UMIC), lower-middle-income countries (LMIC), and low-income countries (LIC) according to World Bank classification by income as of 2020.
FINDING RESULTS
Statistically, countries in different income groups are significantly different in terms of new cases identified in the last 2 weeks and the case fatality rate (MANOVA, P value < 0.001). New tests and detected case numbers shot up in HICs where CFR shot up in LMICs and LICs. The results of this analysis pointed out an important gap among countries with different economic status during the ongoing pandemic.
CONCLUSION CONCLUSIONS
In the HIC, contact tracing, testing capacity, and outbreak response, as well as clinical services, are strong. In the LICs, there is a low capacity of outbreak response which is reflected by the significantly lower number of diagnostic tests. Consequently, the reported number of COVID-19 cases in LICs may not reflect the actual burden of the pandemic. Without effective prevention, the pandemic can readily break into the weak health system and over-burden the hospitals and clinical services in poor countries. This finding is showing health inequality between the rich and the poor being amplified by the COVID-19 pandemic. Addressing such a gap through the local governance and integrated global responses will not only prevent unprecedented deaths, but also preserve the momentum towards Sustainable Development Goals (SDGs).

Identifiants

pubmed: 33595767
doi: 10.1186/s42506-021-00067-0
pii: 10.1186/s42506-021-00067-0
pmc: PMC7887563
doi:

Types de publication

Journal Article

Langues

eng

Pagination

3

Références

N Engl J Med. 2020 Feb 20;382(8):727-733
pubmed: 31978945
Lancet. 2020 Mar 28;395(10229):1015-1018
pubmed: 32197103
Anaesthesia. 2020 Jul;75(7):928-934
pubmed: 32246838
Ann Med. 2020 Aug;52(5):207-214
pubmed: 32370561
Lancet. 2020 Mar 14;395(10227):871-877
pubmed: 32087820
BMJ. 2020 Feb 28;368:m806
pubmed: 32111656
BMJ. 2020 Feb 28;368:bmj.m799
pubmed: 32111645

Auteurs

Myo Nyein Aung (MN)

Juntendo Advanced Research Institute for Health Science, Juntendo University, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan. myo@juntendo.ac.jp.
Global Health Service, Faculty of International Liberal Arts, Juntendo University, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan. myo@juntendo.ac.jp.

Yuka Koyanagi (Y)

Tokyo Ariake University of Health Science, Tokyo, Japan.

Motoyuki Yuasa (M)

Global Health Service, Faculty of International Liberal Arts, Juntendo University, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan.
Department of Public Health, Faculty of Medicine, Juntendo University, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan.

Classifications MeSH