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The Conjunction of Deterministic and Probabilistic Events in Realistic Scenarios of Outdoor Infections
13th EAI International Conference on Bio-inspired Information and Communications Technologies, BICT 2021 ; 403 LNICST:256-268, 2021.
Article in English | Scopus | ID: covidwho-1596444
ABSTRACT
The aim of this paper is the derivation of an robust formalism that calculates the so-called social distancing as already determined in the ongoing Corona Virus Disease 2019 (Covid-19 in short) being established in various places in the world between 1.5 m and 2.5 m. This would constitutes a critic space of separation among people in the which aerosols might not be effective to infect healthy people. In addition to wearing masks and face protection, the social distancing appears to be critic to keep people far of infections and consequences produced from it. In this way, the paper has opted by the incorporation of a full deterministic model inside the equation of Weiss, by the which it fits well to the action of outdoor infection when wind manages the direction and displacement of aerosols in space. Thus, while a deterministic approach targets to propose a risk’s probability, a probabilistic scenario established by Weiss in conjunction to the deterministic events would yield an approximated model of outdoor infection when there is a continuous source of infected aerosols that are moving through air in according to a wind velocity. The simulations have shown that the present approach is valid to some extent in the sense that only the 1D case is considered. The model can be extended with the implementation of physical variables that can attenuate the presence of disturbs and random noise that minimizes the effectiveness of present proposal. © 2021, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 13th EAI International Conference on Bio-inspired Information and Communications Technologies, BICT 2021 Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 13th EAI International Conference on Bio-inspired Information and Communications Technologies, BICT 2021 Year: 2021 Document Type: Article