Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

A global analysis of Covid-19 infection fatality rate and its associated factors during the Delta and Omicron variant periods

An ecological study

Bibliographic Data

ID22090609
AuthorsNhi Thi Hong Nguyen (0000-0001-7195-6171, Hue University), Tsong-Yih Ou, Tsong‐Yih Ou (0000-0003-4190-1545, Taipei Medical University), Lê Đức Huy (0000-0002-3129-027X, Hue University), Chung-Liang Shih, Chung‐Liang Shih (Ministry of Health and Welfare), Yao-Mao Chang (Taipei Medical University), Thanh-Phuc Phan (University Medical Center HCMC), Chung‐Chien Huang (0000-0003-0818-7175, Taipei Medical University, corresponding author), Chung-Chien Huang
Year2023
Volume11
Pages1145138-1145138
Publication date2023-06-02
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2023.1145138
PMID37333556
OpenAlexW4379233241
LanguageEN
References cited39

Background: The Omicron variant of SARS-CoV-2 is more highly infectious and transmissible than prior variants of concern. It was unclear which factors might have contributed to the alteration of COVID-19 cases and deaths during the Delta and Omicron variant periods. This study aimed to compare the COVID-19 average weekly infection fatality rate (AWIFR), investigate factors associated with COVID-19 AWIFR, and explore the factors linked to the increase in COVID-19 AWIFR between two periods of Delta and Omicron variants. Materials and methods: An ecological study has been conducted among 110 countries over the first 12 weeks during two periods of Delta and Omicron variant dominance using open publicly available datasets. Our analysis included 102 countries in the Delta period and 107 countries in the Omicron period. Linear mixed-effects models and linear regression models were used to explore factors associated with the variation of AWIFR over Delta and Omicron periods. Findings: During the Delta period, the lower AWIFR was witnessed in countries with better government effectiveness index [β = -0.762, 95% CI (-1.238)-(-0.287)] and higher proportion of the people fully vaccinated [β = -0.385, 95% CI (-0.629)-(-0.141)]. In contrast, a higher burden of cardiovascular diseases was positively associated with AWIFR (β = 0.517, 95% CI 0.102-0.932). Over the Omicron period, while years lived with disability (YLD) caused by metabolism disorders (β = 0.843, 95% CI 0.486-1.2), the proportion of the population aged older than 65 years (β = 0.737, 95% CI 0.237-1.238) was positively associated with poorer AWIFR, and the high proportion of the population vaccinated with a booster dose [β = -0.321, 95% CI (-0.624)-(-0.018)] was linked with the better outcome. Over two periods of Delta and Omicron, the increase in government effectiveness index was associated with a decrease in AWIFR [β = -0.438, 95% CI (-0.750)-(-0.126)]; whereas, higher death rates caused by diabetes and kidney (β = 0.472, 95% CI 0.089-0.855) and percentage of population aged older than 65 years (β = 0.407, 95% CI 0.013-0.802) were associated with a significant increase in AWIFR. Conclusion: The COVID-19 infection fatality rates were strongly linked with the coverage of vaccination rate, effectiveness of government, and health burden related to chronic diseases. Therefore, proper policies for the improvement of vaccination coverage and support of vulnerable groups could substantially mitigate the burden of COVID-19

Biology · Case fatality rate · Delta · Disease · Environmental health · Physics · Population · COVID-19 Clinical Research Studies · COVID-19 epidemiological studies · Demography · Medicine · SARS-CoV-2 and COVID-19 Research · Genetics · Internal Medicine

  • Estimating excess mortality due to the Covid-19 pandemic

    Open Access•Haidong Wang, Katherine R Paulson et al.•The Lancet•2022

  • Clinical features of Covid-19 in elderly patients

    Open Access•Kai Liu, Ying Chen et al.•Journal of Infection•2020

  • Omicron Sars-CoV-2 variant

    Open Access•Salim S Abdool Karim, Quarraisha Abdool Karim•The Lancet•2021

  • Fitting Linear Mixed-Effects Models Using lme4

    Open Access•David M Bates, Douglas Bates et al.•Journal of Statistical Software•2015

  • Covid-19 case doubling time associated with non-pharmaceutical interventions and vaccination

    Open Access•Li-Lin Liang, Chien-Tse Kao et al.•Journal of Global Health•2021

  • Covid-19 mortality risk for older men and women

    Open Access•N David Yanez, Noel S Weiss et al.•BMC Public Health•2020

  • Estimating effective infection fatality rates during the course of the Covid-19 pandemic in Germany

    Open Access•Christian Staerk, Tobias Wistuba et al.•BMC Public Health•2021

  • The Income Gradient in Mortality during the Covid-19 Crisis

    Open Access•André Decoster, Thomas Minten et al.•The Journal of Economic Inequality•2021

  • A global panel database of pandemic policies (Oxford Covid-19 Government Response Tracker)

    Open Access•Thomas Hale, Noam Angrist et al.•Nature Human Behaviour•2021

  • A global database of Covid-19 vaccinations

    Open Access•Edouard Mathieu, Hamish Ritchie et al.•Nature Human Behaviour•2021

Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae