Abstract
The rapid spread of infectious diseases is a major public health problem. Recent developments in fighting these diseases have heightened the need for a contact tracing process. Contact tracing can be considered an ideal method for controlling the transmission of infectious diseases. The result of the contact tracing process is performing diagnostic tests, treating for suspected cases or self-isolation, and then treating for infected persons; this eventually results in limiting the spread of diseases. This paper proposes a technique named TraceAll that traces all contacts exposed to the infected patient and produces a list of these contacts to be considered potentially infected patients. Initially, it considers the infected patient as the querying user and starts to fetch the contacts exposed to him. Secondly, it obtains all the trajectories that belong to the objects moved nearby the querying user. Next, it investigates these trajectories by considering the social distance and exposure period to identify if these objects have become infected or not. The experimental evaluation of the proposed technique with real data sets illustrates the effectiveness of this solution. Comparative analysis experiments confirm that TraceAll outperforms baseline methods by 40% regarding the efficiency of answering contact tracing queries.
Highlights
Infectious diseases, such as Ebola, COVID-19, and SARS, have been increasingly recognized as a serious, worldwide public health concern
We presented the TraceAll technique to answer contact-tracing queries that help in fighting infectious diseases
TraceAll extracts the trajectories of the users that moved nearby the infected patient within the determined distance
Summary
Infectious diseases, such as Ebola, COVID-19, and SARS, have been increasingly recognized as a serious, worldwide public health concern. This paper proposes a technique TraceAll, which traces all the contacts exposed to an infected patient and generates a list of the potentially infected persons. Each trajectory obtained represents a suspected case, and the technique investigates it from two perspectives; exposure time and social distance. The technique computes if these trajectories remain with each other for a period equivalent to the configured exposure time within the configured social distance If these two conditions match, the technique considers the object that owns this trajectory as a potentially infected patient and adds it to the infected patient list. The proposed technique TraceAll experimentally proves that it is efficient in tracing the suspected contacts by building a novel 3D R-Tree [4,5,6] index structure that answers contact-tracing queries on time.
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