2/21/2023 0 Comments Radbeacon amazon![]() ![]() Depending on the size of SARS-CoV-2-laden droplets, they can either rapidly fall out of the air in the immediate environment around the infected host (i.e., cause contamination on surfaces close to the emission point) or remain suspended in the air and travel over tens of meters. According to recent studies, three main transmission ways of coronavirus can be reported: (1) contact transmission that defines situations in which the infected person and someone else has direct contact or touch a common surface (2) through virus-laden droplet transmission with a diameter larger than 5 μ m (referred as respiratory droplets), and (3) through the airborne transmission of droplets with a diameter less than 5 μ m (referred as droplet nuclei). ![]() As we approach the end of 2020 and many pieces of research about SARS-CoV-2 have been conducted around the world, transmission ways of coronavirus are still under debate among scholars. ![]() High transmissibility of the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has made the COVID-19 disease a global health crisis. However, the average execution time of person-to-place contact tracing is increased by 58.3%. In an enhanced contact tracing scenario, considering the disinfecting activities and sequential order of visiting common places outperformed contact tracing results by filtering out unnecessary potential contacts by 44.98 percent. Moreover, indoor trajectory data analysis is innovatively empowered by semantic user contexts (e.g., disinfecting activities) extracted from user profiles. Results show that 91.18% percent of semantically invalid indoor trajectory data points are filtered out. Indoor trajectory preprocessing is enabled by spatial topology to detect and remove semantically invalid real-world trajectory points. The functionality of the proposed data model is evaluated for a COVID-19 contact tracing application with scalable system architecture. This paper proposes a graph-based data model that considers the semantics of indoor locations, time, and users’ contexts in a hierarchical structure. This study is focused on tracing human contact within indoor places using the open OGC IndoorGML standard. In most contact tracing applications, the impact of SARS-CoV-2 spread through touching contaminated surfaces in enclosed places is overlooked. With the wide availability of low-cost proximity sensors, a large body of research focuses on digital person-to-person contact tracing applications that use proximity sensors. ![]()
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