基于接触者追踪的人工智能在新冠肺炎疫情管理中的应用

Q2 Computer Science
Anasuya Swain, Subhalaxmi Sahu, Monalisha Patel, Pradeep Ranjan Dhal
{"title":"基于接触者追踪的人工智能在新冠肺炎疫情管理中的应用","authors":"Anasuya Swain, Subhalaxmi Sahu, Monalisha Patel, Pradeep Ranjan Dhal","doi":"10.4108/eetpht.9.4360","DOIUrl":null,"url":null,"abstract":"INTRODUCTION: Post COVID -19 epidemics is in a critical situation which has to be properly managed with right preventive and curative measures to protect the economy and welfare of the Human beings.
 OBJECTIVES: Effective management of this terrific situation may be possible through the help of contact tracing and its application of AI mechanism. Here the authors as taken the available data for the testing of the significance of AI approach for contract tracing proper management of the post COVID epidemic situation.
 METHODS: Here contact tracing data are collected analysed interpreted and validity is tested with the help of statistical tools like egression, coefficient and Annova for the testing of the available data with its further application.
 R ESULTS: AI application creates more awareness, vaccination, self-testing, isolation and intake medicine
 CONCLUSION: Artificial Intelligence &social media plays a vital role for the creation of social awareness and proper manage of post COVID-19 epidemics.","PeriodicalId":36936,"journal":{"name":"EAI Endorsed Transactions on Pervasive Health and Technology","volume":"118 35","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial Intelligence Application with Contact Tracing for Post COVID -19 Epidemic Management\",\"authors\":\"Anasuya Swain, Subhalaxmi Sahu, Monalisha Patel, Pradeep Ranjan Dhal\",\"doi\":\"10.4108/eetpht.9.4360\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"INTRODUCTION: Post COVID -19 epidemics is in a critical situation which has to be properly managed with right preventive and curative measures to protect the economy and welfare of the Human beings.
 OBJECTIVES: Effective management of this terrific situation may be possible through the help of contact tracing and its application of AI mechanism. Here the authors as taken the available data for the testing of the significance of AI approach for contract tracing proper management of the post COVID epidemic situation.
 METHODS: Here contact tracing data are collected analysed interpreted and validity is tested with the help of statistical tools like egression, coefficient and Annova for the testing of the available data with its further application.
 R ESULTS: AI application creates more awareness, vaccination, self-testing, isolation and intake medicine
 CONCLUSION: Artificial Intelligence &social media plays a vital role for the creation of social awareness and proper manage of post COVID-19 epidemics.\",\"PeriodicalId\":36936,\"journal\":{\"name\":\"EAI Endorsed Transactions on Pervasive Health and Technology\",\"volume\":\"118 35\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"EAI Endorsed Transactions on Pervasive Health and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4108/eetpht.9.4360\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Computer Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"EAI Endorsed Transactions on Pervasive Health and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4108/eetpht.9.4360","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 0

摘要

导言:COVID -19后疫情形势危急,必须采取正确的预防和治疗措施加以妥善管理,以保护人类的经济和福利。目的:通过接触者追踪及其人工智能机制的应用,可以有效地管理这一可怕的情况。在这里,作者利用现有数据来测试人工智能方法对合同追踪的重要性,以妥善管理COVID - 19疫情。方法:收集接触者追踪数据,运用回归、系数、方差分析等统计工具对现有数据进行检验,分析、解释和检验有效性。 R结果:人工智能应用提高了人们的认识、疫苗接种、自我检测、隔离和服用药物 结论:人工智能和社交媒体对建立社会意识和妥善管理COVID-19后疫情起着至关重要的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial Intelligence Application with Contact Tracing for Post COVID -19 Epidemic Management
INTRODUCTION: Post COVID -19 epidemics is in a critical situation which has to be properly managed with right preventive and curative measures to protect the economy and welfare of the Human beings. OBJECTIVES: Effective management of this terrific situation may be possible through the help of contact tracing and its application of AI mechanism. Here the authors as taken the available data for the testing of the significance of AI approach for contract tracing proper management of the post COVID epidemic situation. METHODS: Here contact tracing data are collected analysed interpreted and validity is tested with the help of statistical tools like egression, coefficient and Annova for the testing of the available data with its further application. R ESULTS: AI application creates more awareness, vaccination, self-testing, isolation and intake medicine CONCLUSION: Artificial Intelligence &social media plays a vital role for the creation of social awareness and proper manage of post COVID-19 epidemics.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
EAI Endorsed Transactions on Pervasive Health and Technology
EAI Endorsed Transactions on Pervasive Health and Technology Computer Science-Computer Science (miscellaneous)
CiteScore
3.50
自引率
0.00%
发文量
14
审稿时长
10 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信