Tanvir Ahammed
Estimation of novel coronavirus (COVID ‐19) reproduction number and case fatality rate: A systematic review and meta‐analysis
Ahammed, Tanvir; Anjum, Aniqua; Rahman, Mohammad Meshbahur; Haider, Najmul; Kock, Richard; Uddin, Md Jamal
Authors
Aniqua Anjum
Mohammad Meshbahur Rahman
Najmul Haider
Richard Kock
Md Jamal Uddin
Abstract
Background and aims
Realizing the transmission potential and the magnitude of the coronavirus disease 2019 (COVID‐19) aids public health monitoring, strategies, and preparation. Two fundamental parameters, the basic reproduction number (R0) and case fatality rate (CFR) of COVID‐19, help in this understanding process. The objective of this study was to estimate the R0 and CFR of COVID‐19 and assess whether the parameters vary in different regions of the world.
Methods
We carried out a systematic review to find the reported estimates of the R0 and the CFR in articles from international databases between January 1 and August 31, 2020. Random‐effect models and Forest plots were implemented to evaluate the mean effect size of R0 and the CFR. Furthermore, R0 and CFR of the studies were quantified based on geographic location, the tests/thousand population, and the median population age of the countries where the studies were conducted. To assess statistical heterogeneity among the selected articles, the I2 statistic and the Cochran's Q test were used.
Results
Forty‐five studies involving R0 and 34 studies involving CFR were included. The pooled estimation of R0 was 2.69 (95% CI: 2.40, 2.98), and that of the CFR was 2.67 (2.25, 3.13). The CFR in different regions of the world varied significantly, from 2.49 (2.08, 2.94) in Asia to 3.40 (2.81, 4.04) in North America. We observed higher mean CFR values for the countries with lower tests (3.15 vs 2.16) and greater median population age (3.13 vs 2.27). However, R0 did not vary significantly in different regions of the world.
Conclusions
An R0 of 2.69 and a CFR of 2.67 indicate the severity of the COVID‐19. Although R0 and CFR may vary over time, space, and demographics, we recommend considering these figures in control and prevention measures.
Citation
Ahammed, T., Anjum, A., Rahman, M. M., Haider, N., Kock, R., & Uddin, M. J. (2021). Estimation of novel coronavirus (COVID ‐19) reproduction number and case fatality rate: A systematic review and meta‐analysis. Health Science Reports, 4(2), 1-11. https://doi.org/10.1002/hsr2.274
Journal Article Type | Article |
---|---|
Acceptance Date | Mar 16, 2021 |
Online Publication Date | May 3, 2021 |
Publication Date | 2021-06 |
Deposit Date | May 17, 2021 |
Journal | Health Science Reports |
Electronic ISSN | 2398-8835 |
Publisher | Wiley Open Access |
Peer Reviewed | Peer Reviewed |
Volume | 4 |
Issue | 2 |
Article Number | 274 |
Pages | 1-11 |
DOI | https://doi.org/10.1002/hsr2.274 |
Public URL | https://rvc-repository.worktribe.com/output/1548903 |
Publisher URL | https://onlinelibrary.wiley.com/doi/full/10.1002/hsr2.274 |
Additional Information | Received: 2020-10-01; Accepted: 2021-03-16; Published: 2021-05-03 |
You might also like
Diagnosis of Chikungunya Virus in Febrile Patients From a Malaria Holoendemic Area
(2021)
Journal Article
Downloadable Citations
About RVC Repository
Administrator e-mail: publicationsrepos@rvc.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search