Using Markov Chain Monte Carlo methods to estimate the age-specific case fatality rate of COVID-19
10.3760/cma.j.cn112338-20200609-00823
- VernacularTitle:基于马尔科夫链蒙特卡罗模拟方法的COVID-19年龄别病死率估计
- Author:
Zhicheng DU
1
;
Yuantao HAO
;
Yongyue WEI
;
Zhijie ZHANG
;
Sipeng SHEN
;
Yang ZHAO
;
Jinling TANG
;
Feng CHEN
;
Qingwu JIANG
;
Liming LI
Author Information
1. 中山大学公共卫生学院，全球卫生研究中心，热带病防治研究教育部重点实验室，广州 510080
- Keywords:
Case fatality rate;
Markov Chain Monte Carlo simulation;
COVID-19
- From:
Chinese Journal of Epidemiology
2020;41(11):1777-1781
- CountryChina
- Language:Chinese
-
Abstract:
Objectives:The COVID-19 epidemic has swept all over the world. Estimates of its case fatality rate were influenced by the existing confirmed cases and the time distribution of onset to death, and the conclusions were still unclear. This study was aimed to estimate the age-specific case fatality rate of COVID-19.Methods:Data on COVID-19 epidemic were collected from the National Health Commission and China CDC. The Gamma distribution was used to fit the time from onset to death. The Markov Chain Monte Carlo simulation was used to estimate age-specific case fatality rate.Results:The median time from onset to death of COVID-19 was M=13.77 ( P25- P75: 9.03-21.02) d. The overall case fatality rate of COVID-19 was 4.1 % (95 %CI: 3.7 %-4.4 %) and the age-specific case fatality rate were 0.1 %, 0.4 %, 0.4 %, 0.4 %,0.8 %, 2.3 %, 6.4 %, 14.0 and 25.8 % for 0-, 10-, 20-, 30-, 40-, 50-, 60-, 70- and ≥80 years group, respectively. Conclusions:The Markov Chain Monte Carlo simulation method adjusting censored is suitable for case fatality rate estimation during the epidemic of a new infectious disease. Early identification of the COVID-19 case fatality rate is helpful to the prevention and control of the epidemic.
