In Search of a Pattern and Algorithmic Code for COVID-19: A Participant Self-Customized Awareness Systems for Diagnostics, Simulation, Tracing and Pattern Matching

A. Ebrahimi
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Abstract

The COVID-19 pandemic has become a challenge to our lives and affects us differently under certain circumstances. This project invites and assists participants in developing their awareness systems for COVID-19. The system comes with a set up consisting of standard information and the necessary coding explained to the participant. The findings are open and shared through an honor system. The awareness system consists of four embedded subsystems known as diagnostics systems, simulation, tracing, and pattern-matching systems. The diagnostic system uses inference rules to generate an outcome by diseases with the same symptoms related to COVID-19. The skeleton for the simulation system works as a game, depicting how the virus enters and interacts with the body's cells with different four scenarios such as involved in defeating the body's cell, defeating the virus, neutral coexistence of the virus and enclosure, and at best, turning into a positive virus. At that stage of defeating the body's cell, the virus will replicate itself by an assigned degree with a recursive behavior. The tracing system traces the COVID19 and the participant's health using red, green, and blue (RGB) colors. The combination of RGB creates more than 16 million using 24 bits in binary or hexadecimal. The red color reserves for COVID-19, with 16 shades of red for a symptom with a 16 degree of severity. The pattern-matching system's skeleton provides four databases for asymptomatic, mild, severe, and fatal cases. The digitized information will quickly identify the pattern. One database may compare with another database for similarities or differences.The transfer of learning from one system can flow into another, ultimately resulting in a solution pattern. This project's implication will guide others to initiate their participant system to find a way and formulate a solution.
寻找COVID-19的模式和算法代码:用于诊断、模拟、跟踪和模式匹配的参与者自定义意识系统
COVID-19大流行已成为我们生活的挑战,并在某些情况下对我们产生不同的影响。该项目邀请并协助参与者建立他们的COVID-19意识系统。该系统的设置包括标准信息和向参与者解释的必要编码。调查结果是公开的,并通过荣誉制度分享。感知系统由四个嵌入式子系统组成,即诊断系统、仿真、跟踪和模式匹配系统。该诊断系统利用推理规则,根据与COVID-19相关的症状相同的疾病产生结果。模拟系统的骨架是一个游戏,描述了病毒如何进入人体细胞并与人体细胞相互作用,包括四种不同的场景,如参与击败人体细胞,击败病毒,病毒和外壳中性共存,最多变成阳性病毒。在击败人体细胞的那个阶段,病毒会按照指定的程度以递归的方式复制自己。追踪系统使用红、绿、蓝(RGB)颜色追踪covid - 19和参与者的健康状况。RGB的组合使用24位二进制或十六进制产生超过1600万。红色代表COVID-19, 16种红色表示16个严重程度的症状。模式匹配系统的骨架为无症状、轻度、重度和致命病例提供了四个数据库。数字化的信息将迅速识别模式。一个数据库可以与另一个数据库比较相似或不同之处。从一个系统学到的知识可以转移到另一个系统,最终形成一个解决方案模式。这个项目的启示将引导其他人启动他们的参与者系统来寻找方法和制定解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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