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Predicted COVID-19 Fatality Rates Based on Age, Sex, Comorbidities, and Health System Capacity
admin
2020-06-12
发布年2020
语种英语
国家加拿大
领域地球科学
正文(英文)

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- 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, as they are grounded in fatality rates from countries with advanced health systems. In order to adjust for health system capacity, we incorporate regional differences in the relative odds of infection fatality from childhood influenza. 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 0.43% in Western Sub-Saharan Africa to 1.83% for Eastern Europe.

The code for this paper is available for download here.

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来源平台Canadian Institute of Mining, Metallurgy and Petroleum
文献类型新闻
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/276068
专题地球科学
推荐引用方式
GB/T 7714
admin. Predicted COVID-19 Fatality Rates Based on Age, Sex, Comorbidities, and Health System Capacity. 2020.
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