The 7th International Conference on Next Generation Computing 2021 (2021.11)바로가기
페이지
pp.136-139
저자
Mohsin Khan, Syed Mujtaba Hassan, Muhammad Jawad Khan
언어
영어(ENG)
URL
https://www.earticle.net/Article/A448028
원문정보
초록
영어
In late 2019 a new pandemic by the name of COVID was detected in the world. This pandemic, which started in China, spread to almost all parts of the world. It is reported that 226,411,199 people are infected by it, and the graph is going up every day. The researchers identify the leading cause of this spread is the human-to-human interaction. Governments have enforced stick restrictions on the movement of people that helps to reduce the spread of the virus. Google COVID-19 community mobility reports is assisting the researcher in the community to provide the human mobility statistics during this pandemic. This research focuses on gathering some answers which can help humanity in fighting against the virus. This research analyzes all the mobility during this pandemic time, which will help us analyze the spread of COVID-19, which will help to take control measures to stop the spread of COVID-19 in the country.
목차
Abstract I. INTRODUCTION II. LITERATURE REVIEW III. PROBLEM STATEMENT IV. GOOGLE COMMUNITY MOBILITY REPORTS A. Grocery & Pharmacy B. Parks C. Transit stations D. Retail & recreation E. Residential V. IDENTIFING THE HOTSPOTS A. Data Sets B. Mobility Changes Results VI. CONCLUSION REFERENCES
키워드
COVID-19Mobility ReportsGoogle COVID- 19 Community Mobility ReportsMachine Learning.
저자
Mohsin Khan [ Riphah School of Computing and Innovation Riphah International University Lahore, Pakistan ]
Syed Mujtaba Hassan [ Riphah School of Computing and Innovation Riphah International University Lahore, Pakistan ]
Muhammad Jawad Khan [ Riphah School of Computing and Innovation Riphah International University Lahore, Pakistan ]