本頁只刊出中文翻譯與中文說明；英文原文請見下方原文連結。
原文連結
論文資訊
- 類型：已發表論文
- 日期：2021-04-09
摘要
Background Initially, the relative sizes of the asymptomatic and the symptomatic infected 族群s were not known for the COVID-19 pandemic and neither was the actual fatality rate. There- fore it was not clear either how the pandemic would impact the healthcare system. As a result it was initially predicted that the COVID-19 流行病學c in Denmark would overwhelm the healthcare system and thus both the diagnosis and treatment of other hospital patients were compromised for an extended period. Aim To develop a 數學 model, which includes both asymptomatic and symptomatic infected persons, for early estimation of the 流行病學c’s course, its Infection Fatality Rate and the healthcare system load in Denmark, both retrospectively and prospectively. Methods The SEIRS (Susceptible—Exposed—Infected—Recovered—Susce
※ 此為已發表論文，全文需透過期刊付費取得