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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...

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Autores principales: Ghisolfi, Selene, Almås, Ingvild, Sandefur, Justin C, von Carnap, Tillman, Heitner, Jesse, Bold, Tessa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
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.
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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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