{"title":"利用流动性跟踪识别传染病传播热点","authors":"Mei Wyin Yaw, Prajindra Sankar Krishnan, Chai Phing Chen, Sieh Kiong Tiong","doi":"10.18080/jtde.v11n3.775","DOIUrl":null,"url":null,"abstract":"A significant global health problem nowadays is the incidence of serious infectious illnesses. An extraordinary humanitarian crisis has been brought on by the current COVID-19 pandemic, which has spread around the world. The spread of new viruses has put established healthcare institutions under tremendous strain and created a number of pressing problems. It is important to predict the future movement and pattern of the illness in order to decrease infectious instances and maximize recovered cases. This research paper aims to utilize mobility tracking as a means to identify hotspots for contagious disease spread. The study focuses on collecting and analyzing mobility data from UNITEN students using Google Map data over a period of two weeks. The paper describes the data collection process, data pre-processing steps, and the application of the HDBSCAN algorithm for hotspot clustering. The results demonstrate the effectiveness of HDBSCAN in identifying hotspots based on the mobility data. The findings highlight the potential of mobility tracking for disease surveillance and provide insights for public health interventions and preventive measures.","PeriodicalId":37752,"journal":{"name":"Australian Journal of Telecommunications and the Digital Economy","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Utilizing Mobility Tracking to Identify Hotspots for Contagious Disease Spread\",\"authors\":\"Mei Wyin Yaw, Prajindra Sankar Krishnan, Chai Phing Chen, Sieh Kiong Tiong\",\"doi\":\"10.18080/jtde.v11n3.775\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A significant global health problem nowadays is the incidence of serious infectious illnesses. An extraordinary humanitarian crisis has been brought on by the current COVID-19 pandemic, which has spread around the world. The spread of new viruses has put established healthcare institutions under tremendous strain and created a number of pressing problems. It is important to predict the future movement and pattern of the illness in order to decrease infectious instances and maximize recovered cases. This research paper aims to utilize mobility tracking as a means to identify hotspots for contagious disease spread. The study focuses on collecting and analyzing mobility data from UNITEN students using Google Map data over a period of two weeks. The paper describes the data collection process, data pre-processing steps, and the application of the HDBSCAN algorithm for hotspot clustering. The results demonstrate the effectiveness of HDBSCAN in identifying hotspots based on the mobility data. The findings highlight the potential of mobility tracking for disease surveillance and provide insights for public health interventions and preventive measures.\",\"PeriodicalId\":37752,\"journal\":{\"name\":\"Australian Journal of Telecommunications and the Digital Economy\",\"volume\":\"54 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Australian Journal of Telecommunications and the Digital Economy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18080/jtde.v11n3.775\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Australian Journal of Telecommunications and the Digital Economy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18080/jtde.v11n3.775","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Social Sciences","Score":null,"Total":0}
Utilizing Mobility Tracking to Identify Hotspots for Contagious Disease Spread
A significant global health problem nowadays is the incidence of serious infectious illnesses. An extraordinary humanitarian crisis has been brought on by the current COVID-19 pandemic, which has spread around the world. The spread of new viruses has put established healthcare institutions under tremendous strain and created a number of pressing problems. It is important to predict the future movement and pattern of the illness in order to decrease infectious instances and maximize recovered cases. This research paper aims to utilize mobility tracking as a means to identify hotspots for contagious disease spread. The study focuses on collecting and analyzing mobility data from UNITEN students using Google Map data over a period of two weeks. The paper describes the data collection process, data pre-processing steps, and the application of the HDBSCAN algorithm for hotspot clustering. The results demonstrate the effectiveness of HDBSCAN in identifying hotspots based on the mobility data. The findings highlight the potential of mobility tracking for disease surveillance and provide insights for public health interventions and preventive measures.
期刊介绍:
The Journal of Telecommunications and the Digital Economy (JTDE) is an international, open-access, high quality, peer reviewed journal, indexed by Scopus and Google Scholar, covering innovative research and practice in Telecommunications, Digital Economy and Applications. The mission of JTDE is to further through publication the objective of advancing learning, knowledge and research worldwide. The JTDE publishes peer reviewed papers that may take the following form: *Research Paper - a paper making an original contribution to engineering knowledge. *Special Interest Paper – a report on significant aspects of a major or notable project. *Review Paper for specialists – an overview of a relevant area intended for specialists in the field covered. *Review Paper for non-specialists – an overview of a relevant area suitable for a reader with an electrical/electronics background. *Public Policy Discussion - a paper that identifies or discusses public policy and includes investigation of legislation, regulation and what is happening around the world including best practice *Tutorial Paper – a paper that explains an important subject or clarifies the approach to an area of design or investigation. *Technical Note – a technical note or letter to the Editors that is not sufficiently developed or extensive in scope to constitute a full paper. *Industry Case Study - a paper that provides details of industry practices utilising a case study to provide an understanding of what is occurring and how the outcomes have been achieved. *Discussion – a contribution to discuss a published paper to which the original author''s response will be sought. Historical - a paper covering a historical topic related to telecommunications or the digital economy.