Resetting the Initial Conditions for Calculating Epidemic Spread: COVID-19 Outbreak in Italy

被引:2
|
作者
Babac, Marina Bagic [1 ]
Mornar, Vedran [1 ]
机构
[1] Univ Zagreb, Fac Elect Engn & Comp, Zagreb 10000, Croatia
来源
IEEE ACCESS | 2020年 / 8卷
关键词
Mathematical model; Sociology; Statistics; Europe; Government; Infectious diseases; Epidemic spread; infection rate; mathematical model; SIR; COVID-19; SARS-CoV-2; PREDICTION; NETWORKS; DISEASES; CHINA;
D O I
10.1109/ACCESS.2020.3015923
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Confirmed cases of the disease COVID-19 have spread to more than 200 countries and regions of the world within a few months. Although the authorities report the number of new cases on daily basis, there remains a gap between the number of reported cases and actual number of cases in a population. One way to bridge this gap is to gain more in-depth understanding of the disease. In this paper, we have used the recent findings about the clinical courses of inpatients with COVID-19 to reset the initial conditions of the epidemic process in order to estimate more realistic number of cases in the population. By translating the reported cases certain number of days earlier with regard to an average clinical course of the disease, we have obtained much higher number of cases, which suggests that the actual number of infected cases and death rate might have been higher than reported. Based on the outbreak of COVID-19 in Italy, this paper shows an estimate of the number of infected cases based on infection and removal rates from data during the pandemic.
引用
收藏
页码:148021 / 148030
页数:10
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