Intelligent Mobile Application to Determine the Existence of Medicines Associated with COVID-19 in a Social Network of Medical Dispensaries in a Smart City

Abstract

Nowadays, the medical practice is having complications derived from the fact that it is not possible to have the adequate logistics to interact with patients physically; that is why we propose an intelligent model of virtual patients that will help to support the identification of different diseases and considering three decisive aspects that are: the diagnosis, prognosis, and monitoring to see the evolution of each individual and their immune response for each disease. Determining where a particular drug is located is decisive to survive the pandemic; that is why using a social network can organize the appropriate network to correctly solve the exact and necessary location of a particular drug. The determination of suspected cases of COVID19 is the first step in the detection of persons infected with the virus. Making it quicker and simpler for people to know if they are a potential suspect case should be easy these days, thanks to all the technology around us. Thanks to the internet and connectivity from mobile devices, it has been possible to create applications for any industry and need. For Covid19, it is possible in the same way.