Repository logo
  • English
  • 中文
  • Log In
    New user? Click here to register.Have you forgotten your password?
Repository logo
    Communities & Collections
    Research Outputs
    Fundings & Projects
    People
    Organizations
    Statistics
  • English
  • 中文
  • Log In
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. .TMU Publications / 北醫出版品(教師升等著作 / 教學實踐 / 學位論文)
  3. .博碩士學位論文
  4. 111學年度
  5. A global analysis of COVID-19 infection fatality rate and its associated factors during the Delta and Omicron variant periods: an ecological study.
 
  • Details
Options

A global analysis of COVID-19 infection fatality rate and its associated factors during the Delta and Omicron variant periods: an ecological study.

Other Title
A global analysis of COVID-19 infection fatality rate and its associated factors during the Delta and Omicron variant periods: an ecological study.
Type
thesis
Date Issued
2023-05-30
Author(s)
NGUYEN THI HONG NHI
Advisor
黃崇謙
Subjects
系所名稱:醫務管理學系碩士班
Description
學位別:碩士
語文別:英文
口試委員:石崇良 Shih, Chung-Liang;黃崇謙 Chung-Chien Huang;許明暉 Min-Huei Hsu
授權範圍:網際網路,開放日期為2023-06-08
Abstract
Background: As new variants keep emerging, it is essential for governments to monitor pandemic parameters and navigate proper COVID-19 control solutions effectively and rapidly.
Objectives: Our study aimed to compare COVID-19 average weekly infection fatality rate (AWIFR) and investigate factors related to COVID-19 AWIFR during periods of Delta and Omicron variant dominances.
Methods: This was an ecological study of 110 countries throughout the first 12 weeks of Delta and Omicron periods. Multivariable linear mixed-effect models and multivariate linear regression models were employed to determine the factors associated with AWIFR.
Conclusions: In Delta period, countries with high levels of vaccination and government effectiveness indices showed lower AWIFR. Higher burden of cardiovascular diseases was positively linked to AWIFR. In Omicron period, while years lived with disability (YLDs) caused by metabolism disorders, proportion of the population aged over 65 were positively associated with poorer AWIFR, high proportion of the population vaccinated with a booster dose was linked with the better outcome. Over two periods, the increase in government effectiveness index was associated with decrease of AWIFR, higher death rates caused by diabetes and kidney and percentage of population aged over 65 were associated with a significant increase in AWIFR.
Conclusion: The COVID-19 infection fatality rates was associated with vaccination coverage rate, government effectiveness index, and health burden related to chronic diseases. Therefore, governments should implement appropriate policies to significant alleviate the burden of COVID-19.
Keywords: COVID-19, Variants, Delta, Omicron, Vaccine, NPIs.
URI
https://handle.ncl.edu.tw/11296/5w9rfe
https://203.71.86.71/handle/123456789/10311

Copyright Notice

● The digital content on this platform is part of the Taipei Medical University Institutional Repository, featuring various academic works and outputs from the institution. It offers free access to academic research and public education for non-commercial use.

● Please use the content appropriately and within legal boundaries to respect copyright owners' rights. For commercial use, please obtain prior authorization from the copyright owner. Users must not use TMUIR for any illegal purposes.

● By utilising the platform, users are deemed to have fully accepted and understood all the regulations set out in this statement, relevant laws of the Republic of China, all international internet regulations, and usage conventions.

● TMUIR is committed to protecting the interests of copyright owners. If you believe that any material on this website infringes copyright, please contact our staff at libirtmu@gmail.com, and we will remove the work from the repository.

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Cookie settings
  • Privacy policy
  • End User Agreement
  • Send Feedback