WA Notify: the planning and implementation of a Bluetooth exposure notification tool for COVID-19 pandemic response in Washington State.

Online journal of public health informatics Pub Date : 2021-06-07 eCollection Date: 2021-01-01 DOI:10.5210/ojphi.v13i1.11694
Tiffany Chen, Janet Baseman, William B Lober, Debra Revere, Rebecca Hills, Nola Klemfuss, Bryant T Karras
{"title":"WA Notify: the planning and implementation of a Bluetooth exposure notification tool for COVID-19 pandemic response in Washington State.","authors":"Tiffany Chen,&nbsp;Janet Baseman,&nbsp;William B Lober,&nbsp;Debra Revere,&nbsp;Rebecca Hills,&nbsp;Nola Klemfuss,&nbsp;Bryant T Karras","doi":"10.5210/ojphi.v13i1.11694","DOIUrl":null,"url":null,"abstract":"<p><p>Bluetooth exposure notification tools for mobile phones have emerged as one way to support public health contact tracing and mitigate the spread of COVID-19. Many states have launched their own versions of these tools. Washington State's exposure notification tool, WA Notify, became available on November 30, 2020, following a one-month Seattle campus pilot at the University of Washington. By the end of April 2021, 25% of the state's population had activated WA Notify, one of the highest adoption rates in the country. Washington State's formation of an Exposure Notification Advisory Committee, early pilot testing, and use of the EN Express system framework were all important factors in its adoption. Continuous monitoring and willingness to make early adjustments such as switching to automated texting of verification codes have also been important for improving the tool's value. Evaluation work is ongoing to determine and quantify WA Notify's effectiveness, timeliness, and accessibility.</p>","PeriodicalId":74345,"journal":{"name":"Online journal of public health informatics","volume":"13 1","pages":"e8"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8216404/pdf/ojphi-13-1-e8.pdf","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Online journal of public health informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5210/ojphi.v13i1.11694","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

Bluetooth exposure notification tools for mobile phones have emerged as one way to support public health contact tracing and mitigate the spread of COVID-19. Many states have launched their own versions of these tools. Washington State's exposure notification tool, WA Notify, became available on November 30, 2020, following a one-month Seattle campus pilot at the University of Washington. By the end of April 2021, 25% of the state's population had activated WA Notify, one of the highest adoption rates in the country. Washington State's formation of an Exposure Notification Advisory Committee, early pilot testing, and use of the EN Express system framework were all important factors in its adoption. Continuous monitoring and willingness to make early adjustments such as switching to automated texting of verification codes have also been important for improving the tool's value. Evaluation work is ongoing to determine and quantify WA Notify's effectiveness, timeliness, and accessibility.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
WA Notify:在华盛顿州规划和实施用于应对COVID-19大流行的蓝牙暴露通知工具。
手机蓝牙暴露通知工具已成为支持公共卫生接触者追踪和缓解COVID-19传播的一种方式。许多州已经推出了他们自己版本的这些工具。在华盛顿大学西雅图校区进行了为期一个月的试点后,华盛顿州的曝光通知工具WA Notify于2020年11月30日投入使用。到2021年4月底,该州25%的人口激活了WA Notify,这是该国采用率最高的地区之一。华盛顿州成立了一个暴露通知咨询委员会,早期试点测试,以及使用EN Express系统框架,这些都是采用该标准的重要因素。持续的监控和做出早期调整的意愿,比如切换到验证码的自动短信,对于提高工具的价值也很重要。评估工作正在进行中,以确定和量化WA Notify的有效性、及时性和可访问性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
审稿时长
10 weeks
期刊最新文献
Population Digital Health: Continuous Health Monitoring and Profiling at Scale. Rank Ordered Design Attributes for Health Care Dashboards Including Artificial Intelligence: Usability Study. Attitudes of Health Professionals Toward Digital Health Data Security in Northwest Ethiopia: Cross-Sectional Study. Contact Tracing Different Age Groups During the COVID-19 Pandemic: Retrospective Study From South-West Germany. Data Analytics to Support Policy Making for Noncommunicable Diseases: Scoping Review.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1