Proximity Tracing Method to reduce Community Spread of COVID 19

semanticscholar(2020)

引用 1|浏览6
暂无评分
摘要
The technology in the world is growing at super high speed and the humans feel they are unbeatable and can control everything; the sudden rise of Corona Virus has put this thought of humans to a halt. This virus has turned from epidemic to pandemic bringing the whole world to its knees. Since no vaccine has developed till date so prevention is the only solution to control this virus. Indian Government has launched a novel app “Aarogya Setu” where it gives the real time information of the number of cases around us even in the range of 500 m and also a provision of self testing. Till now it is based on the input given by the infected user about his visits and people he had in contact with. So only the persons he recommended are physically contacted by the government officials to go to for Corona Testing. To automate the procedure the author proposed a novel mobile app wherein a user who is infected or detected with corona positive can be backward traced so that a cluster of users is identified and the government and the hospitals are timely notified to avoid community spread along with the details about the place where he might have caught the disease. Also an alert SMS is sent to the users individually to take preventive measures. To implement this datasets of instances has been collected and tested for cluster formation. The major challenges were the unavailability of exact data and total dependency is on IMEI number.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要