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Predicted COVID-19 fatality rates based on age, sex, comorbidities and health system capacity
Early reports suggest the fatality rate from COVID-19 varies greatly across countries, but non-random testing and incomplete vital registration systems render it impossible to directly estimate the infection fatality rate (IFR) in many low- and middle-income countries. To fill this gap, we estimate...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7482102/ https://www.ncbi.nlm.nih.gov/pubmed/32912856 http://dx.doi.org/10.1136/bmjgh-2020-003094 |
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author | Ghisolfi, Selene Almås, Ingvild Sandefur, Justin C von Carnap, Tillman Heitner, Jesse Bold, Tessa |
author_facet | Ghisolfi, Selene Almås, Ingvild Sandefur, Justin C von Carnap, Tillman Heitner, Jesse Bold, Tessa |
author_sort | Ghisolfi, Selene |
collection | PubMed |
description | Early reports suggest the fatality rate from COVID-19 varies greatly across countries, but non-random testing and incomplete vital registration systems render it impossible to directly estimate the infection fatality rate (IFR) in many low- and middle-income countries. To fill this gap, we estimate the adjustments required to extrapolate estimates of the IFR from high-income to lower-income regions. Accounting for differences in the distribution of age, sex and relevant comorbidities yields substantial differences in the predicted IFR across 21 world regions, ranging from 0.11% in Western Sub-Saharan Africa to 1.07% for high-income Asia Pacific. However, these predictions must be treated as lower bounds in low- and middle-income countries as they are grounded in fatality rates from countries with advanced health systems. To adjust for health system capacity, we incorporate regional differences in the relative odds of infection fatality from childhood respiratory syncytial virus. This adjustment greatly diminishes but does not entirely erase the demography-based advantage predicted in the lowest income settings, with regional estimates of the predicted COVID-19 IFR ranging from 0.37% in Western Sub-Saharan Africa to 1.45% for Eastern Europe. |
format | Online Article Text |
id | pubmed-7482102 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-74821022020-09-11 Predicted COVID-19 fatality rates based on age, sex, comorbidities and health system capacity Ghisolfi, Selene Almås, Ingvild Sandefur, Justin C von Carnap, Tillman Heitner, Jesse Bold, Tessa BMJ Glob Health Analysis Early reports suggest the fatality rate from COVID-19 varies greatly across countries, but non-random testing and incomplete vital registration systems render it impossible to directly estimate the infection fatality rate (IFR) in many low- and middle-income countries. To fill this gap, we estimate the adjustments required to extrapolate estimates of the IFR from high-income to lower-income regions. Accounting for differences in the distribution of age, sex and relevant comorbidities yields substantial differences in the predicted IFR across 21 world regions, ranging from 0.11% in Western Sub-Saharan Africa to 1.07% for high-income Asia Pacific. However, these predictions must be treated as lower bounds in low- and middle-income countries as they are grounded in fatality rates from countries with advanced health systems. To adjust for health system capacity, we incorporate regional differences in the relative odds of infection fatality from childhood respiratory syncytial virus. This adjustment greatly diminishes but does not entirely erase the demography-based advantage predicted in the lowest income settings, with regional estimates of the predicted COVID-19 IFR ranging from 0.37% in Western Sub-Saharan Africa to 1.45% for Eastern Europe. BMJ Publishing Group 2020-09-09 /pmc/articles/PMC7482102/ /pubmed/32912856 http://dx.doi.org/10.1136/bmjgh-2020-003094 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Analysis Ghisolfi, Selene Almås, Ingvild Sandefur, Justin C von Carnap, Tillman Heitner, Jesse Bold, Tessa Predicted COVID-19 fatality rates based on age, sex, comorbidities and health system capacity |
title | Predicted COVID-19 fatality rates based on age, sex, comorbidities and health system capacity |
title_full | Predicted COVID-19 fatality rates based on age, sex, comorbidities and health system capacity |
title_fullStr | Predicted COVID-19 fatality rates based on age, sex, comorbidities and health system capacity |
title_full_unstemmed | Predicted COVID-19 fatality rates based on age, sex, comorbidities and health system capacity |
title_short | Predicted COVID-19 fatality rates based on age, sex, comorbidities and health system capacity |
title_sort | predicted covid-19 fatality rates based on age, sex, comorbidities and health system capacity |
topic | Analysis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7482102/ https://www.ncbi.nlm.nih.gov/pubmed/32912856 http://dx.doi.org/10.1136/bmjgh-2020-003094 |
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