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Towards a Realistic Model for Simulating Spread of Infectious COVID-19 Disease
4th International Conference on Big Data and Internet of Things, BDIOT 2020 ; : 96-101, 2020.
Article in English | Scopus | ID: covidwho-901450
ABSTRACT
The classical compartment model namely SEIR was not designed originally for COVID-19. There are significant numbers of people infected by COVID-19 did not get sick immediately but have become carriers of COVID-19. The patients might have certain length of incubation period. In order to cover the quarantine and asymptomatic variables, the existing SEIR model is extended to a multi-compartment infectious disease model. The contribution presented in this paper is a new model called SEAIRD which caters for the new characteristics of the 2019-nCoV, therefore applicable for the inclusion of asymptomatic population in the simulation. © 2020 ACM.

Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 4th International Conference on Big Data and Internet of Things, BDIOT 2020 Year: 2020 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 4th International Conference on Big Data and Internet of Things, BDIOT 2020 Year: 2020 Document Type: Article