Enhancing Social Divergence Using Genetic Algorithms and Linked Open Data for Improving Immunity System Against COVID-19

ABSTRACT

COVID-19 is one of the dangerous viruses that appears in 2020. The virus has gained popularity with its massive spread across the countries. The number of casualties has increased dramatically, which led many countries to declare a state of emergency as a result of the outbreak of this epidemic and their inability to control it. Several studies and researches have emerged to shed light on the mechanism of the virus and ways to prevent it, making it easier to control in the future. The World Health Organization (WHO) has begun to publish detailed numbers of injuries, deaths, and recovery cases and has given many advices, including the imposition of a total and partial curfew in many areas in addition to emphasizing the principle of social divergence in order to prevent the rapid spread of the virus among groups of society. The main goal of this paper is to design a system that used genetic algorithms (GAs) and the principles of linked open data (LOD) for improving the immunity system by enhancing social divergence. The system starts using GA for the purpose of finding the characteristics that must be present in a person who is dangerous to society in order to get away from him as much as possible. After taking these features, the system will take the values of these features and add it to the features for all persons in order to check it in the future and give alarm to all their friends or people around them. The RDF (Resource Description Framework) is a standard model for data interchange on the Web. The main idea for using RDF in this paper is finding a proper representation for user personal file and give the flexibility to connect many personal files in order to find a deep information and can reach an unknown person from known person using the FOAF (Friend Of A Friend) and vCard (virtual card) as a standard for vocabularies. The system takes the Statistics from the WHO which show the total infected cases in all countries arranged in decreasing order. The system gives a good result for analyzing the COVID-19 virus information and detecting the infected (possible infected) person and send warning to all nearest people and his friend and family, because sometimes the person has no coronavirus symptoms but he is infected so we need a technique for detecting that virus and take a proper action as soon as possible. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.