File:Log Graph of Covid-19 Infection Fatality Ratio by age.png
From Wikimedia Commons, the free media repository
Jump to navigation
Jump to search
Size of this preview: 800 × 574 pixels. Other resolutions: 320 × 230 pixels | 640 × 459 pixels | 967 × 694 pixels.
Original file (967 × 694 pixels, file size: 263 KB, MIME type: image/png)
File information
Structured data
Captions
Summary
[edit]DescriptionLog Graph of Covid-19 Infection Fatality Ratio by age.png |
English: The log-linear relationship between IFR and age. Note: Our metaregression indicates that the infection fatality rate (IFR) increases exponentially with age, and hence this figure uses a base-10 logarithmic scale so that the relationship is evident across all ages from 5 to 95 years. Each marker denotes a specific metaregression observation, that is, the IFR for a particular age group in a particular location. The marker style reflects the type of observation: circles for observations from seroprevalence studies of representative samples, diamonds for seroprevalence studies of convenience samples, and squares for countries with comprehensive tracing programs. The red line denotes the metaregression estimate of IFR as a function of age, the shaded region depicts the 95% confidence interval for that estimate. The dashed lines denote the prediction interval (which includes random variations across studies and age groups), and almost all of the 108 metaregression observations lie within that interval. (Text copied from the same source, which is available under a Creative Commons Attribution 4.0 International License) |
Date | |
Source |
https://link.springer.com/article/10.1007/s10654-020-00698-1 Assessing the age specificity of infection fatality rates for COVID-19: systematic review, meta-analysis, and public policy implications. |
Author | Andrew T. Levin, William P. Hanage, Nana Owusu-Boaitey, Kensington B. Cochran, Seamus P. Walsh & Gideon Meyerowitz-Katz |
Levin, A.T., Hanage, W.P., Owusu-Boaitey, N. et al. Assessing the age specificity of infection fatality rates for COVID-19: systematic review, meta-analysis, and public policy implications. Eur J Epidemiol 35, 1123–1138 (2020). https://doi.org/10.1007/s10654-020-00698-1
Licensing
[edit]This file is licensed under the Creative Commons Attribution 4.0 International license.
- You are free:
- to share – to copy, distribute and transmit the work
- to remix – to adapt the work
- Under the following conditions:
- attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
Springer Nature open access publication
File history
Click on a date/time to view the file as it appeared at that time.
Date/Time | Thumbnail | Dimensions | User | Comment | |
---|---|---|---|---|---|
current | 10:36, 15 January 2021 | 967 × 694 (263 KB) | Hallucegenia (talk | contribs) | Uploaded a work by Andrew T. Levin, William P. Hanage, Nana Owusu-Boaitey, Kensington B. Cochran, Seamus P. Walsh & Gideon Meyerowitz-Katz from https://link.springer.com/article/10.1007/s10654-020-00698-1 Assessing the age specificity of infection fatality rates for COVID-19: systematic review, meta-analysis, and public policy implications. with UploadWizard |
You cannot overwrite this file.
File usage on Commons
There are no pages that use this file.
File usage on other wikis
The following other wikis use this file:
- Usage on cs.wikipedia.org
- Usage on de.wikipedia.org
- Usage on en.wikipedia.org
- Usage on ja.wikipedia.org
- Usage on nl.wikipedia.org