@article{article_731558, title={A Software Architecture That Can Be Used for Reliable Socio-Economic Relations in Epidemic}, journal={Journal of Internet Applications and Management}, volume={12}, pages={40–52}, year={2021}, author={Santur, Yunus and Karaköse, Mehmet}, keywords={Big data, Covid-19, e-health, Pandemic}, abstract={The epidemic, spread around the world and known as Covid-19, negatively affects social and economic life. Humanity has been caught unprepared for this epidemic, as there is currently no cure. In the case of epidemic, social and economic relations that people like shopping, travel, market should interact must be safely implemented. In this context, the measures applied under the control of security officers require additional burden on the state. Curfews and partial quarantines restrict the lives of uninfected and isolated people and bring the economy to a halt. In this study, a software architecture that can be used in cases of epidemics is suggested. In the approach that uses big data and graph database, it is assumed that every individual or business is included in the application by the state. In this way, each individual can be represented with a unique identity. A four-state health code is used to represent the level of the disease. Three of these codes, which will be obtained by using e-government services, big data approach and mobile network services, represent situations where a person is a positive case, is completely healthy and is in contact with a positive case. The last code will be used to report individuals using the application, but to a particular business or other individual. It will be used to identify and report users who do not use the application or do not match the barcode. Within the scope of the study, software architecture design and mobile application interface were realized, and the approach presented through simulation study and sample scenarios were verified.}, number={1}, publisher={Selçuk Burak HAŞIOĞLU}