Laboratorio de Neurociencias, Facultad de Ciencias, Universidad de la República, Montevideo, Uruguay.
Centro Interdisciplinario de Ciencia de Datos y Aprendizaje Automático, Universidad de la República, Montevideo, Uruguay.
BMC Infect Dis. 2022 Mar 29;22(1):311. doi: 10.1186/s12879-022-07262-0.
Knowing the age-specific rates at which individuals infected with SARS-CoV-2 develop severe and critical disease is essential for designing public policy, for infectious disease modeling, and for individual risk evaluation.
In this study, we present the first estimates of these rates using multi-country serology studies, and public data on hospital admissions and mortality from early to mid-2020. We combine these under a Bayesian framework that accounts for the high heterogeneity between data sources and their respective uncertainties. We also validate our results using an indirect method based on infection fatality rates and hospital mortality data.
Our results show that the risk of severe and critical disease increases exponentially with age, but much less steeply than the risk of fatal illness. We also show that our results are consistent across several robustness checks.
A complete evaluation of the risks of SARS-CoV-2 for health must take non-fatal disease outcomes into account, particularly in young populations where they can be 2 orders of magnitude more frequent than deaths.
了解感染 SARS-CoV-2 的个体在特定年龄段出现严重和危急疾病的比率对于制定公共政策、传染病建模和个体风险评估至关重要。
在这项研究中,我们使用多国血清学研究以及 2020 年初至中期的住院和死亡率的公共数据,首次对这些比率进行了估算。我们将这些数据结合到一个贝叶斯框架中,该框架考虑了数据源之间的高度异质性及其各自的不确定性。我们还使用基于感染病死率和住院死亡率数据的间接方法来验证我们的结果。
我们的结果表明,严重和危急疾病的风险随年龄呈指数增长,但增长速度远不及致命疾病的风险。我们还表明,我们的结果在几个稳健性检验中是一致的。
对 SARS-CoV-2 对健康的风险的全面评估必须考虑非致命疾病的结果,特别是在年轻人群中,这些结果的频率可能比死亡高出两个数量级。